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Metrics, Properties, and Alerts
vRealize Operations Manager 6.6

vRealize Operations Definitions for Metrics, Properties, and Alerts

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The VMware Web site also provides the latest product updates.
If you have comments about this documentation, submit your feedback to:
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Copyright © 2017 VMware, Inc. All rights reserved. Copyright and trademark information.

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Contents

About vRealize Operations Manager Reference for Metrics, Properties, and Alerts 5

1 Metric Definitions in vRealize Operations Manager 7

Metrics for vCenter Server Components 8
Calculated Metrics 76
Self-Monitoring Metrics for vRealize Operations Manager 82
Metrics for vRealize Automation 107
Metrics for vSAN 107
Metrics for the Operating Systems and Remote Service Monitoring Plug-ins in
End Point Operations Management 114

2 Property Definitions in vRealize Operations Manager 131
Properties for vCenter Server Components 131
Self-Monitoring Properties for vRealize Operations Manager
Properties for vSAN 146

144

3 Alert Definitions in vRealize Operations Manager 149
Cluster Compute Resource Alert Definitions 150
Host System Alert Definitions 154
vRealize Automation Alert Definitions 168
vSAN Alerts Definitions 169
Alerts in the vSphere Web Client 176
vSphere Distributed Port Group 176
Virtual Machine Alert Definitions 177
vSphere Distributed Switch Alert Definitions 185
vCenter Server Alert Definitions 186
Datastore Alert Definitions 187
Data Center Alert Definitions 192
Custom Data Center Alert Definitions 193

Index 195

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vRealize Operations Definitions for Metrics, Properties, and Alerts

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About vRealize Operations Manager Reference
for Metrics, Properties, and Alerts

The vRealize Operations Manager Reference for Metrics, Properties, and Alerts provides information about the
metric, properties, and alert definitions provided with vRealize Operations Manager.

Intended Audience
This information is intended for anyone who wants to install and configure vRealize Operations Manager by
using a virtual appliance deployment. The information is written for experienced virtual machine
administrators who are familiar with enterprise management applications and datacenter operations.

VMware Technical Publications Glossary
VMware Technical Publications provides a glossary of terms that might be unfamiliar to you. For definitions
of terms as they are used in VMware technical documentation, go to
http://www.vmware.com/support/pubs.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

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Metric Definitions in
vRealize Operations Manager

1

Metric definitions provide an overview of how the metric value is calculated or derived. If you understand
the metric, you can better tune vRealize Operations Manager to display results that help you to manage
your environment.
vRealize Operations Manager collects data from objects in your environment. Each piece of data collected is
®
called a metric observation or value. vRealize Operations Manager uses the VMware vCenter adapter to
collect raw metrics. vRealize Operations Manager uses the vRealize Operations Manager adapter to collect
self-monitoring metrics. In addition to the metrics it collects, vRealize Operations Manager calculates
capacity metrics, badge metrics, and metrics to monitor the health of your system.
All metric definitions are provided. The metrics reported on your system depend on the objects in your
environment. You can use metrics to help troubleshoot problems. See the vRealize Operations Manager User
Guide.

Changes in Metric Availability
The CPU Demand of Recommended (%) metric is no longer available in vRealize Operations Manager
version 6.x. To approximate the metric, create a super metric using the following calculations, and add it to
your Views and Reports as needed.
( (CPU|Stress Free Demand (MHz)) × (CPU|Current Size in Unit(s)) ) ÷ ( (CPU|Recommended Size
(vCPUs)) × (CPU|Current Size (MHz)) )

For more information about super metrics, see the vRealize Operations Manager Information Center.
This chapter includes the following topics:
n

“Metrics for vCenter Server Components,” on page 8

n

“Calculated Metrics,” on page 76

n

“Self-Monitoring Metrics for vRealize Operations Manager,” on page 82

n

“Metrics for vRealize Automation,” on page 107

n

“Metrics for vSAN,” on page 107

n

“Metrics for the Operating Systems and Remote Service Monitoring Plug-ins in End Point Operations
Management,” on page 114

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Metrics for vCenter Server Components
®

vRealize Operations Manager connects to VMware vCenter Server instances through the vCenter adapter
to collect metrics for vCenter Server components and uses formulas to derive statistics from those metrics.
You can use metrics to troubleshoot problems in your environment.
vCenter Server components are listed in the describe.xml file for the vCenter adapter. The following
example shows sensor metrics for the host system in the describe.xml file.











Each ResourceAttribute element includes the name of a metric that appears in the UI and is documented as
a Metric Key.
Table 1‑1. Sensor Metrics for Host System Cooling
Metric Key

Metric Name

Description

Sensor|fan|currentValue

Speed

Fan speed.

Sensor|fan|healthState

Health State

Fan health state.

Sensor|temperature|currentValue

Temperature

Host system temperature.

Sensor|temperature|healthState

Health State

Host system health state.

vSphere Metrics
vRealize Operations Manager collects CPU use, disk, memory, network, and summary metrics for objects in
the vSphere world.
Capacity metrics can be calculated for vSphere world objects. See “Capacity and Project-Based Metrics,” on
page 77.

CPU Usage Metrics
CPU usage metrics provide information about CPU use.

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑2. CPU Usage Metrics
Metric Name

Description

CPU|Capacity usage

CPU usages as a percent during the interval.
Key: cpu|capacity_usagepct_average

CPU|CPU contention(%)

This metric shows the percentage of time the VMs in the ESXi hosts are
unable to run because they are contending for access to the physical CPUs.
The number shown is the average number for all VMs. The number will be
lower than the highest number experienced by the VM that is most impacted
by CPU contention.
Use this metric to verify if the host can serve all its VMs efficiently. Low
contention means that the VM can access everything it demands to run
smoothly. It means that the infrastructure is providing good service to the
application team.
When using this metric, ensure that the number is within your expectation.
Look at both the relative number and the absolute number. Relative means a
drastic change in value, meaning that the ESXi is unable to serve the VMs.
Absolute means that the real value itself is high. Investigate why the number
is high. One factor that impacts this metric is CPU Power Management. If
CPU Power Management clocks down the CPU speed from 3 GHz to 2 GHz,
the reduction in speed is accounted for because it shows that the VM is not
running at full speed.
This metric is calculated in the following way: cpu|capacity_contention / (200
* summary|number_running_vcpus)
Key: cpu|capacity_contentionPct

CPU|Demand (%)

This metric shows the amount of CPU resources a virtual machine would use
if there were no CPU contention or CPU limit. This metric represents the
average active CPU load for the past five minutes.
Keep this number below 100% if you set the power management to
maximum.
This metric is calculated in the following way: ( cpu.demandmhz /
cpu.capacity_provisioned)*100
Key: cpu|demandPct

CPU|Demand (MHz)

This metric shows the amount of CPU resources a virtual machine would use
if there were no CPU contention or CPU limit.
Key: cpu|demandmhz

CPU|Demand

CPU demand in megahertz.
Key: cpu|demand_average

CPU|IO wait

IO wait (ms).
Key: cpu|iowait

CPU|number of CPU Sockets

Number of CPU sockets.
Key: cpu|numpackages

CPU|Overall CPU Contention

Overall CPU contention in milliseconds.
Key: cpu|capacity_contention

CPU|Provisioned Capacity (MHz)

capacity in MHz of the physical CPU cores.
Key: cpu|capacity_provisioned

CPU|Provisioned vCPU(s)

Number of provisioned CPU cores.
Key: cpu|corecount_provisioned

CPU|Reserved Capacity (MHz)

Total CPU capacity reserved by virtual machines.
Key: cpu|reservedCapacity_average

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Table 1‑2. CPU Usage Metrics (Continued)
Metric Name

Description

CPU|Usage (MHz)

CPU usages, as measured in megahertz, during the interval.
n VM - Amount of actively used virtual CPU. This is the host's view of the
CPU usage, not the guest operating system view.
n Host - Sum of the actively used CPU of all powered on virtual machines
on a host. The maximum possible value is the frequency of the two
processors multiplied by the number of processors. For example, if you
have a host with four 2 GHz CPUs running a virtual machine that is
using 4000 MHz, the host is using two CPUs completely: 400 / (4 2000) =
0.50
Key: cpu|usagemhz_average

CPU|Wait

Total CPU time spent in wait state. The wait total includes time spent in the
CPU Idle, CPU Swap Wait, and CPU I/O Wait states.
Key:cpu|wait

CPU|Workload (%)

Percent of workload
Key: cpu|workload

Memory Metrics
Memory metrics provide information about memory use and allocation.
Table 1‑3. Memory Metrics
Metric Name

Description

mem|Contention (%)

This metric shows the percentage of time VMs are waiting to access swapped
memory.
Use this metric to monitor ESXi memory swapping. A high value indicates
that the ESXi is running low on memory, and a large amount of memory is
being swapped.
Key: mem|host_contentionPct

mem|Machine Demand (KB)

Host memory demand in kilobytes.
Key: mem|host_demand

mem|Provisioned Memory

Provisioned host memory in kilobytes.
Key: mem|host_provisioned

mem|Reserved Capacity (KB)

Total amount of memory reservation used by powered-on virtual machines
and vSphere services on the host.
Key: mem|reservedCapacity_average

mem|Usable Memory (KB)

Usable host memory in kilobytes.
Key: mem|host_usable

mem|Host Usage (KB)

Host memory use in kilobytes.
Key: mem|host_usage

mem|Usage/Usable (%)

Memory usage as percentage of total configured or available memory.
Key: mem|host_usagePct

mem|Workload (%)

Percent of workload.
Key: mem|workload

Network Metrics
Network metrics provide information about network performance.

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑4. Network Metrics
Metric Name

Description

net|Packets Dropped (%)

This metric shoes the percentage of received and transmitted packets
dropped in the collection interval.
Use this metric to monitor the reliability and performance of the ESXi
network. A high value indicates that the network is not reliable and
performance decreases.
Key: net|droppedPct

net|Usage Rate (KB per second)

Sum of the data transmitted and received for all of the NIC instances of the
host or virtual machine.
Key: net|usage_average

net|Workload (%)

Percent of workload.
Key: net|workload

Disk Metrics
Disk metrics provide information about disk use.
Table 1‑5. Disk Metrics
Metric Name

Description

disk|Commands per second

Average number of commands issued per second during the collection
cycle.
Key: disk|commandsAveraged_average

disk|Usage Rate (KB per second)

Average of the sum of the data read and written for all of the disk instances
of the host or virtual machine.
Key: disk|usage_average

disk|Workload (%)

Percent of workload.
Key: disk|workload

Summary Metrics
Summary metrics provide information about overall performance.
Table 1‑6. Summary Metrics
Metric Name

Description

summary|Number of Running Hosts

Number of running hosts.
Key: summary|number_running_hosts

summary|Number of Running VMs

This metric shows the number of running VMs at a given point in time.
The data is sampled every five minutes.
A large number of running VMs might be a reason for CPU or memory
spikes because more resources are used in the host. The number of
running VMs gives you a good indicator of how many requests the ESXi
host must juggle. Powered off VMs are not included because they do not
impact ESXi performance. A change in the number of running VMs can
contribute to performance problems. A high number of running VMs in
a host also means a higher concentration risk, because all the VMs will
fail if the ESXi crashes.
Use this metric to look for a correlation between spikes in the running
VMs and spikes in other metrics such as CPU contention, or memory
contention.
Key: summary|number_running_vms

summary|Total Number of Clusters

Total number of clusters.
Key: summary|total_number_clusters

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 1‑6. Summary Metrics (Continued)
Metric Name

Description

summary|Total Number of Datastores

Total number of datastores.
Key: summary|total_number_datastores

summary|Total Number of Hosts

Total number of hosts.
Key: summary|total_number_hosts

summary|Total Number of VMs

Total number of virtual machines.
Key: summary|total_number_vms

summary|Total Number of Datacenters

Total number of data centers.
Key: summary|total_number_datacenters

summary|Number VCPUs on Powered on
VMs

Number of virtual CPUs on powered-on virtual machines.
Key: summary|number_running_vcpus

summary|Average Running VM Count per
Running Host

Average running virtual machine count per running host.
Key: summary|avg_vm_density

vCenter Server Metrics
vRealize Operations Manager collects CPU use, disk, memory, network, and summary metrics for vCenter
Server system objects.
vCenter Server metrics include capacity and badge metrics. See definitions in:
n

“Capacity and Project-Based Metrics,” on page 77

n

“Badge Metrics,” on page 80

CPU Usage Metrics
CPU usage metrics provide information about CPU use.
Table 1‑7. CPU Usage Metrics

12

Metric Key

Metric Name

Description

cpu|capacity_usagepct_average

Capacity Usage (%)

Percent capacity used.

cpu|capacity_contentionPct

CPU Contention (%)

Percent CPU contention.

cpu|demandPct

Demand (%)

Percent demand.

cpu|demandmhz

Demand (MHz)

Demand in megahertz.

cpu|demand_average

Demand

CPU Demand.

cpu|iowait

IO Wait (ms)

IO wait time in milliseconds.

cpu|numpackages

Number of CPU Sockets

Number of CPU sockets.

cpu|capacity_contention

Overall CPU Contention (ms)

Overall CPU contention in milliseconds.

cpu|capacity_provisioned

Provisioned Capacity (MHz)

Provisioned capacity in megahertz.

cpu|corecount_provisioned

Provisioned vCPU

Number of provisioned virtual CPU cores.

cpu|reservedCapacity_average

Reserved Capacity (MHz)

Sum of the reservation properties of the
immediate children of the host's root resource
pool.

cpu|usagemhz_average

Usage (MHz)

Average CPU use in megahertz.

cpu|wait

Wait (ms)

CPU time spent on the idle state.

cpu|overhead_average

Overhead

Amount of CPU that is overhead.

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑7. CPU Usage Metrics (Continued)
Metric Key

Metric Name

Description

cpu|demand_without_overhead

Demand without overhead

Value of demand excluding any overhead.

cpu|vm_capacity_provisioned

Provisioned Capacity

Provisioned capacity (MHz).

Datastore Metrics
Datastore metrics provide information about the datastore.
Table 1‑8. Datastore Metrics
Metric Key

Metric Name

Description

datastore|
maxObserved_NumberRead

Max Observed Reads per
second

Max observed average number of read commands
issued per second during the collection interval.

datastore|maxObserved_Read

Max Observed Read Rate

Max observed rate of reading data from the
datastore.

datastore|
maxObserved_NumberWrite

Max Observed Writes per
second

Max observed average number of write commands
issued per second during the collection interval.

datastore|maxObserved_Write

Max Observed Write Rate

Max observed rate of writing data from the
datastore.

datastore|maxObserved_OIO

Max Observed Number of
Outstanding IO Operations

Maximum observed number of outstanding IO
operations.

datastore|demand_oio

Outstanding IO requests

OIO for datastore.

datastore|
numberReadAveraged_average

Reads per second

Average number of read commands issued per
second during the collection interval.

datastore|
numberWriteAveraged_average

Writes per second

Average number of write commands issued per
second during the collection interval.

datastore|read_average

Read Rate

Amount of data read in the performance interval.

datastore|write_average

Write Rate

Amount of data written to disk in the performance
interval.

Disk Metrics
Disk metrics provide information about disk use.
Table 1‑9. Disk Metrics
Metric Key

Metric Name

Description

disk|commandsAveraged_average

Commands per second

Average number of commands issued per second
during the collection cycle.

disk|totalLatency_average

Disk Command Latency
(ms)

Average amount of time taken for a command from
the perspective of the guest operating system. This
metric is the sum of the Kernel Device Command
Latency and Physical Device Command Latency
metrics.

disk|usage_average

Usage Rate (KBps)

Average of the sum of the data read and written for
all of the disk instances of the host or virtual
machine.

disk|sum_queued_oio

Total queued outstanding
operations

Sum of queued operations and outstanding
operations.

disk|max_observed

Max Observed OIO

Max observed IO for a disk.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Diskspace Metrics
Disk space metrics provide information about disk space use.
Table 1‑10. Diskspace Metrics
Metric Key

Metric Name

Description

diskspace|total_usage

Total disk space used (KB)

Total disk space used on all datastores visible to
this object.

diskspace|total_capacity

Total disk space (KB)

Total disk space on all datastores visible to this
object.

diskspace|total_provisioned

Total provisioned disk space
(KB)

Total provisioned disk space on all datastores
visible to this object.

Memory Metrics
Memory metrics provide information about memory use and allocation.
Table 1‑11. Memory Metrics
Metric Key

Metric Name

Description

mem|host_contentionPct

Contention (%)

Percent host memory contention.

mem|host_demand

Machine Demand (KB)

Host memory demand in kilobytes.

mem|host_systemUsage

ESX System Usage

Memory usage by the VMkernel and ESX userlevel services.

mem|host_provisioned

Provisioned Memory (KB)

Provisioned host memory in kilobytes.

mem|reservedCapacity_average

Reserved Capacity (KB)

Sum of the reservation properties of the immediate
children of the host's root resource pool.

mem|host_usable

Usable Memory (KB)

Usable host memory in kilobytes.

mem|host_usage

Host Usage (KB)

Host memory use in kilobytes.

mem|host_usagePct

Usage/Usable (%)

Percent host memory used.

mem|host_contention

Contention (KB)

Host contention in kilobytes.

mem|overhead_average

VM Overhead (KB)

Memory overhead reported by host.

Network Metrics
Network metrics provide information about network performance.
Table 1‑12. Network Metrics

14

Metric Key

Metric Name

Description

net|droppedPct

Packets Dropped (%)

Percent network packets dropped.

net|usage_average

Usage Rate (KBps)

Sum of the data transmitted and received for all of
the NIC instances of the host or virtual machine.

net|packetsRx_summation

Packets Received

Number of packets received in the performance
interval.

net|packetsTx_summation

Packets Transmitted

Number of packets transmitted in the
performance interval.

net|droppedRx_summation

Received Packets Dropped

Number of received packets dropped in the
performance interval.

net|droppedTx_summation

Transmitted Packets Dropped

Number of transmitted packets dropped in the
performance interval.

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑12. Network Metrics (Continued)
Metric Key

Metric Name

Description

net|maxObserved_KBps

Max Observed Throughput
(KBps)

Max observed rate of network throughput.

net|maxObserved_Tx_KBps

Max Observed Transmitted
Throughput (KBps)

Max observed transmitted rate of network
throughput.

net|maxObserved_Rx_KBps

Max Observed Received
Throughput (KBps)

Max observed received rate of network
throughput.

net|transmitted_average

Data Transmit Rate (KBps)

Average amount of data transmitted per second.

net|received_average

Data Receive Rate (KBps)

Average amount of data received per second.

Summary Metrics
Summary metrics provide information about overall performance.
Table 1‑13. Summary Metrics
Metric Key

Metric Name

Description

summary|number_running_hosts

Number of Running Hosts

Number of hosts that are on.

summary|number_running_vms

Number of Running VMs

Number of virtual machines that
are on.

summary|total_number_clusters

Total Number of Clusters

Total number of clusters.

summary|total_number_datastores

Total Number of Datastores

Total number of datastores.

summary|total_number_hosts

Total Number of Hosts

Total number of hosts.

summary|total_number_vms

Total Number of VMs

Total number of virtual machines.

summary|max_number_vms

Maximum Number of VMs

Maximum number of virtual
machines.

summary|workload_indicator

Workload Indicator (%)

Percent workload indicator.

summary|total_number_datacenters

Total Number of Datacenters

Total number of datacenters.

summary|
number_powered_on_cores

Number of Cores on Powered On Hosts

Number of cores on powered-on
hosts.

summary|number_running_vcpus

Number VCPUs on Powered on VMs

Number of virtual CPUs on
powered-on virtual machines.

summary|avg_vm_density

Average Running VM Count per Running
Host

Average running virtual machine
count per running host.

summary|vc_query_time

VC Query Time (ms)

vCenter Server query time in
milliseconds.

summary|
derived_metrics_comp_time

Derived Metrics Computation Time (ms)

Derived metrics computation time
in milliseconds.

summary|number_objs

Number of objects

Number of objects.

summary|number_vc_events

Number of VC Events

Number of vCenter Server events.

summary|number_sms_metrics

Number of SMS Metrics

Number of SMS metrics.

summary|collector_mem_usage

Collector Memory Usage (MB)

Collector memory use in
megabytes.

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Virtual Machine Metrics
vRealize Operations Manager collects configuration, CPU use, memory, datastore, disk, virtual disk, guest
file system, network, power, disk space, storage, and summary metrics for virtual machine objects.
Capacity metrics can be calculated for virtual machine objects. See “Capacity and Project-Based Metrics,” on
page 77.
Metrics marked with an asterisk (*) provide the most relevant data to use when you troubleshoot the virtual
machines in your environment.

Configuration Metrics for Virtual Machines
Configuration metrics provide information about virtual machine configuration.
Metric

Description

Config|Thin Provisioned Disk

Thin Provisioned Disk.
Key: config|hardware|thin_Enabled

Config|Number of CPUs

Number of CPUs for a Virtual Machine.
Key: config|hardware|num_Cpu

Config|Disk Space

Disk space metrics.
Key: config|hardware|disk_Space

CPU Usage Metrics for Virtual Machines
CPU usage metrics provide information about CPU use.

16

Metric

Description

CPU|IO Wait (ms)

CPU time spent waiting for IO.
Key: cpu|iowait

CPU|Wait (ms)

Wait time in milliseconds.
Key: cpu|wait

CPU|Overall CPU Contention (ms)

The amount of time the CPU cannot run due to
contention.
Key: cpu|capacity_contention

CPU|Reservation Used

CPU Reservation Used.
Key: cpu|reservation_used

CPU|Effective Limit

CPU Effective Limit.
Key: cpu|effective_limit

CPU|Estimated Entitlement

CPU Estimated Entitlement.
key: cpu|estimated_entitlement

CPU|Idle (%)

Percentage time that CPU is idle.
Key: cpu|idlePct

CPU|IO Wait (%)

Percentage IO Wait.
Key: cpu|iowaitPct

CPU|Swap wait (%)

Percentage swap wait for CPU.
Key: cpu|swapwaitPct

CPU|Wait (%)

Percentage of total CPU time spent in wait state.
Key: cpu|waitPct

CPU|System (%)

Percentage CPU time spent on system processes.
Key: cpu|systemSummationPct

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Metric

Description

CPU|Demand Over Limit (MHz)

Amount of CPU Demand that is over the configured
CPU Limit.
Key: cpu|demandOverLimit

CPU|Demand Over Capacity (MHz)

Amount of CPU Demand that is over the configured
CPU Capacity.
Key: cpu|demandOverCapacity

CPU|Recommended Size Reduction (%)

Percentage of recommended CPU size reduction.
Key: cpu|sizePctReduction

CPU|Normalized Co-stop

Percentage of co-stop time, normalized across all
vCPUs.
Key: cpu|perCpuCoStopPct

CPU|Recommended number of vCPUs to Add

Recommended number of vCPUs to Add to the VM.
Key: cpu|numberToAdd

CPU|Recommended number of vCPUs to Remove

Recommended number of vCPUs to Remove from the
VM.
Key: cpu|numberToRemove

CPU|Capacity entitlement (MHz)

CPU entitlement for the VM after taking limits into
account.
Key: cpu|capacity_entitlement

CPU|Provisioned CPU Cores

Number of provisioned CPU cores.
Key: cpu|corecount_provisioned

CPU|Capacity Demand Entitlement (%

Percent capacity demand entitlement.
Key: cpu|capacity_demandEntitlementPct

* CPU|CPU Contention (%)

CPU contention as a percentage of 20-second collection
interval.
Key: cpu|capacity_contentionPct

CPU|Capacity Provisioned

Provisioned CPU capacity in megahertrz.
Key: cpu|capacity_provisioned

CPU|Demand (MHz)

CPU demand in megahertz.
Key: cpu|demandmhz

CPU|Host demand for aggregation

Host demand for aggregation.
Key: cpu|host_demand_for_aggregation

CPU|Demand (ms)

The total CPU time that the VM could use if there was
no contention.
Key: cpu|demand_average

CPU|Demand (%)

CPU demand as a percentage of the provisioned
capacity.
Key: cpu|demandPct

CPU|Dynamic Entitlement

CPU Dynamic Entitlement.
Key: cpu|dynamic_entitlement

* CPU|Usage (%)

This metric indicates the percentage of CPU that was
used out of all the CPU that was allocated to the VM.
CPU usage can indicate if the VM is undersized.
Key: cpu|usage_average

CPU|Usage (MHz)

CPU use in megahertz.
Key: cpu|usagemhz_average

CPU|System (ms)

CPU time spent on system processes.
Key: cpu|system_summation

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Metric

Description

CPU|Wait (ms)

Total time that a virtual CPU can not be run. It could
be idle (halted) or waiting for an external event such as
I/O.
Key: cpu|wait_summation

CPU|Ready (ms)

CPU time spent in the ready state.
Key: cpu|ready_summation

* CPU|Ready (%)

This metric indicates the percentage of time in which
the VM was waiting in line to use the CPU on the host.
A large ready time for a VM indicates that the VM
needed CPU resources but the infrastructure was busy
serving other VMs. This might indicate that the host is
trying to serve too many VMs.
Whenever the CPU ready is larger than 10%, you
should check if the host is overloaded, or if the VM
really needs all the resources that were allocated to it.
Key: cpu|readyPct

CPU|Used (ms)

CPU time that is used.
Key: cpu|used_summation

CPU|Extra (ms)

Extra CPU time in milliseconds.
Key: cpu|extra_summation

CPU|Guaranteed (ms)

CPU time that is guaranteed for the virtual machine.
Key: cpu|guaranteed_latest

CPU|Swap Wait (ms)

Swap wait time in milliseconds.
Key: cpu|swapwait_summation

CPU|Co-stop (ms)

Time the VM is ready to run, but is unable to due to
co-scheduling constraints.
Key: cpu|costop_summation

CPU|Co-stop (%)

Percentage of time the VM is ready to run, but is
unable to due to co-scheduling constraints.
Key: cpu|costopPct

CPU|Idle (ms)

CPU time that is idle.
Key: cpu|idle_summation

CPU|Latency

Percentage of time the VM is unable to run because it
is contending for access to the physical CPUs.
Key: cpu|latency_average

CPU|Max Limited

Time the VM is ready to run, but is not run due to
maxing out its CPU limit setting.
Key: cpu|maxlimited_summation

CPU|Overlap

Time the VM was interrupted to perform system
services on behalf of that VM or other VMs.
Key: cpu|overlap_summation

CPU|Run

Time the VM is scheduled to run.
Key: cpu|run_summation

CPU|Entitlement Latest

Entitlement Latest.
Key: cpu|entitlement_latest

CPU Utilization for Resources Metrics for Virtual Machines
CPU utilization for resources metrics provide information about resource CPU use.

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Metric

Description

rescpu|CPU Active (%) (interval)

The average active time (actav) or peak active time (actpk) for the CPU
during various intervals.
Key:
rescpu|actav1_latest
rescpu|actav5_latest
rescpu|actav15_latest
rescpu|actpk1_latest
rescpu|actpk5_latest
rescpu|actpk15_latest

rescpu|CPU Running (%) (interval)

The average runtime (runav) or peak active time (runpk) for the CPU
during various intervals.
Key:
rescpu|runav1_latest
rescpu|runav5_latest
rescpu|runav15_latest
rescpu|runpk1_latest
rescpu|runpk5_latest
rescpu|runpk15_latest

rescpu|CPU Throttled (%) (interval)

Amount of CPU resources over the limit that were refused, average
over various intervals.
Key:
rescpu|maxLimited1_latest
rescpu|maxLimited5_latest
rescpu|maxLimited15_latest

rescpu|Group CPU Sample Count

The sample CPU count.
Key: rescpu|sampleCount_latest

rscpu|Group CPU Sample Period (ms)

The sample period.
Key: rscpu|samplePeriod_latest

Memory Metrics for Virtual Machines
Memory metrics provide information about memory use and allocation.
Metric

Description

Mem|Host Active (KB)

Host active memory use in kilobytes.
Key: mem|host_active

Mem|Usage (KB)

Memory use in kilobytes.
Key: mem|host_usage

Mem|Contention (KB)

Memory contention in kilobytes.
Key: mem|host_contention

Mem|Contention (%)

Percent memory contention.
Key: mem|host_contentionPct

Mem|Guest Configured Memory (KB)

Guest operating system configured memory in kilobytes.
Key: mem|guest_provisioned

Mem|Guest Dynamic Entitlement (KB)

Guest Memory Dynamic Entitlement.
Key: mem|guest_dynamic_entitlement

Mem|Guest Active Memory (%)

Percent guest operating system active memory.
Key: mem|guest_activePct

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Metric

Description

Mem|Guest Non Pageable Memory (KB)

Guest operating system non-pageable memory in
kilobytes.
Key: mem|guest_nonpageable_estimate

Mem|Reservation Used

Memory Reservation Used.
Key: mem|reservation_used

Mem|Effective Limit

Memory Effective Limit.
Key: mem|effective_limit

Mem|Estimated Entitlement

Memory Estimated Entitlement.
Key: mem|estimated_entitlement

Mem|Demand for aggregation

Host demand for aggregation.
Key: mem|host_demand_for_aggregation

Mem|NUMA Remote Latest

Non-uniform memory access Remote (Kb).
Key: mem|numa.remote_latest

Mem|NUMA Local Latest

Non-uniform memory access Local (Kb).
Key: mem|numa.local_latest

Mem|NUMA Migrations Latest

Non-uniform memory access Migrations (number).
Key: mem|numa.migrations_latest

Mem|NUMA Locality Average

Non-uniform memory access Locality (%).
Key: mem|numa.locality_average

Mem|Demand Over Limit

Amount of Memory Demand that is over the configured
Memory Limit.
Key: mem|demandOverLimit

Mem|Demand Over Capacity

Amount of Memory Demand that is over the configured
Memory Capacity.
Key: mem|demandOverCapacity

Mem|Recommended Size Reduction (%)

Percentage of recommended Memory size reduction.
Key: mem|sizePctReduction

Mem|Balloon (%)

Percentage of total memory that has been reclaimed via
ballooning.
Key: mem|balloonPct

* Mem|Guest Usage (KB)

This metric shows the amount of memory the VM uses.
Key: mem|guest_usage

Mem|Guest Demand (KB)

Guest operating system demand in kilobytes.
Key: mem|guest_demand

Mem|Guest Non Pageable Memory (KB)

Guest operating system non-pageable memory in
kilobytes.
Key: mem|host_nonpageable_estimate

Mem|Host Demand (KB)

Memory demand in kilobytes.
Key mem|host_demand

Mem|Demand with Reservation (KB)

Memory Demand with Reservation considered in KB.
Key: mem|host_demand_reservation

Mem|Guest Workload

Guest Workload (%).
Key: mem|guest_workload

Mem|Host Workload

Host Workload (%).
Key: host_workload

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Metric

Description

Mem|Balloon (%)

Amount of memory currently used by the virtual machine
memory control.
Key: mem|vmmemctl_average

Mem|Guest Active (%)

Amount of memory that is actively used.
Key: mem|active_average

Mem|Granted (KB)

Amount of memory available for use.
Key: mem|granted_average

Mem|Shared (KB)

Amount of shared memory in kilobytes.
Key: mem|shared_average

Mem|Zero (KB)

Amount of memory that is all 0.
Key: mem|zero_average

* Mem|Swapped (KB)

This metric shows how much memory is being swapped.
Meaning, the amount of unreserved memory in kilobytes.
Key: mem|swapped_average

Mem|Swap Target (KB)

Amount of memory that can be swapped in kilobytes.
Key: mem|swaptarget_average

Mem|Swap In (KB)

Swap-in memory in kilobytes.
Key: mem|swapin_average

Mem|Swap Out (KB)

amount of memory swapped out in kilobytes.
Key: mem|swapout_average

* Mem|Usage (%)

This metric shows how much memory is being used out
of the allocated memory for the VM.
Key: mem|usage_average

Mem|Balloon Target (KB)

Amount of memory that can be used by the virtual
machine memory control.
Key: mem|vmmemctltarget_average

Mem|Consumed (KB)

Amount of host memory consumed by the virtual
machine for guest memory in kilobytes.
Key: mem|consumed_average

Mem|Overhead (KB)

Memory overhead in kilobytes.
Key: mem|overhead_average

Mem|Host Dynamic Entitlement

Mem Machine Dynamic Entitlement.
Key: mem|host_dynamic_entitlement

Mem|Swap In Rate (KBps)

Rate at which memory is swapped from disk into active
memory during the interval.
Key: mem|swapinRate_average

Mem|Swap Out Rate (KBps)

Rate at which memory is being swapped from active
memory to disk during the current interval.
Key: mem|swapoutRate_average

Mem|Active Write (KB)

Active writes in kilobytes.
Key: mem|activewrite_average

Mem|Compressed (KB)

Compressed memory in kilobytes.
Key: mem|compressed_average

Mem|Compression Rate (KBps)

Compression rate in kilobytes per second.
Key: mem|commpressionRate_average

Mem|Decompression Rate (KBps)

Decompression rate in kilobytes per second.
Key: mem|decompressionRate_average

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Metric

Description

Mem|Overhead Max (KB)

Maximum overhead in kilobytes.
Key: mem|overheadMax_average

Mem|Zip Saved (KB)

Zip-saved memory in kilobytes.
Key: mem|zipSaved_latest

Mem|Zipped (KB)

Zipped memory in kilobytes.
Key: mem|zipped_latest

Mem|Entitlement

Amount of host physical memory the VM is entitled to, as
determined by the ESX schedule.
Key: mem|entitlement_average

Mem|Latency

Percentage of time the VM is waiting to access swapped
or compressed memory.
Key: mem|latency_average

Mem|Capacity Contention

Capacity Contention.
Key: mem|capacity.contention_average

Mem|Swap In Rate from Host Cache

Rate at which memory is being swapped from host cache
into active memory.
Key: mem|llSwapInRate_average

Mem|Swap Out Rate to Host Cache

Rate at which memory is being swapped to host cache
from active memory.
Key: mem|llSwapOutRate_average

Mem|Swap Space Used in Host Cache

Space used for caching swapped pages in the host cache.
Key: mem|llSwapUsed_average

Mem|Overhead Touched

Actively touched overhead memory (KB) reserved for use
as the virtualization overhead for the VM.
Key: mem|overheadTouched_average

Datastore Metrics for Virtual Machines
Datastore metrics provide information about datastore use.

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Metric

Description

Datastore|Commands per second

Average number of commands issued per second during
the collection interval.
Key:datastore|commandsAveraged_average

Datastore|Outstanding IO requests

OIO for datastore.
Key: datastore|demand_oio

Datastore|Number of Outstanding IO Operations

Number of outstanding IO operations.
Key: datastore|oio

Datastore|Demand

Datastore demand.
Key: datastore|demand

Datastore|Disk Command Latency (ms)

The average amount of time taken for a command from
the perspective of a Guest OS. This is the sum of Kernel
Command Latency and Physical Device Command
Latency.
Key: datastore|totalLatency_average

Datastore|Usage Average (KBps)

Usage Average (KBps).
Key: datastore|usage_average

Datastore|Used Space (MB)

Used space in megabytes.
Key: datastore|used

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Metric

Description

Datastore|Not Shared (GB)

Space used by VMs that is not shared.
Key: datastore|notshared

* Datastore|Reads per second

Average number of read commands issued per second
during the collection interval.
Key: datastore|numberReadAveraged_average

* Datastore|Writes per second

Average number of write commands issued per second
during the collection interval.
Key: datastore|numberWriteAveraged_average

* Datastore|Read Rate (KBps)

This metric shows the amount of data that the VM reads
to the datastore per second..
Key: datastore|read_average

*Datastore|Read Latency (ms)

Average amount of time for a read operation from the
datastore. Total latency = kernel latency + device latency.
Key: datastore|totalReadLatency_average

*Datastore|Write Latency (ms)

Average amount of time for a write operation to the
datastore. Total latency = kernel latency + device latency.
Key: datastore|totalWriteLatency_average

* Datastore|Write Rate

This metric shows the amount of data that the VM writes
to the datastore per second.
Key: datastore|write_average

Datastore|Highest Latency

Highest Latency.
Key: datastore|maxTotalLatency_latest

Datastore|Total Latency Max

Total Latency Max (ms).
Key: datastore|totalLatency_max

Datastore|Max Observed Reads per second

Max observed average number of read commands issued
per second during the collection interval.
Key: datastore|maxObserved_NumberRead

Datastore|Max Observed Read Rate

Max observed rate of reading data from the datastore.
Key: datastore|maxObserved_Read

Datastore|Max Observed Writes per second

Max observed average number of write commands
issued per second during the collection interval.
Key: datastore|maxObserved_NumberWrite

Datastore|Max Observed Write Rate

Max observed rate of writing data from the datastore.
Key: datastore|maxObserved_Write

Datastore|Max Observed Number of Outstanding IO
Operations

Max Observed Number of Outstanding IO Operations.
Key: datastore|maxObserved_OIO

Disk Metrics for Virtual Machines
Disk metrics provide information about disk use.
Metric

Description

Disk|Reads per second

Average number of read commands issued per second
during the collection interval.
Key: disk|numberReadAveraged_average

Disk|Writes per second

Average number of write commands issued per second
during the collection interval.
Key: disk|numberWriteAveraged_average

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Metric

Description

Disk|Commands per second

Average number of commands issued per second
during the collection interval.
Key: disk|commandsAveraged_average

Disk|Usage Rate (KBps)

Use rate in kilobytes per second.
Key: disk|usage_average

Disk|I/O Usage Capacity

This metric is a function of storage|usage_average and
disk|workload. storage|usage_average is an average
over all storage devices. This means that disk|
usage_capacity is not specific to the selected VM or the
host of the VM.
Key: disk|usage_capacity

Disk|Number of Outstanding IO Operations

Number of outstanding IO operations.
Key: disk|diskoio

Disk|Queued Operations

Queued operations.
Key: disk|diskqueued

Disk|Demand (%)

Percent demand.
Key: disk|diskdemand

Disk |Total Queued Outstanding Operations

Sum of Queued Operation and Outstanding
Operations.
Key: disk |sum_queued_oio

Disk|Max Observed OIO

Max Observed IO for a disk.
Key: disk|max_observed

Disk|Read Rate (KBps)

Amount of data read in the performance interval.
Key: disk|read_average

Disk|Write Rate (KBps)

Amount of data written to disk in the performance
interval.
Key: disk|write_average

Disk|Read Requests

Number of times data was read from the disk in the
defined interval.
Key: disk|numberRead_summation

Disk|Write Requests

Number of times data was written to the disk in the
defined interval.
Key: disk|numberWrite_summation

Disk|Bus Resets

The number of bus resets in the performance interval.
Key: disk|busResets_summation

Disk|Commands Issued

The number of disk commands issued in the
performance interval.
Key: disk|commands_summation

Disk|Commands Aborted

The number of disk commands aborted in the
performance interval.
Key: disk|commandsAborted_summation

Disk|Highest Latency

Highest latency.
Key: disk|maxTotalLatency_latest

Disk|SCSI Reservation Conflicts

SCSI Reservation Conflicts.
Key: disk|scsiReservationConflicts_summation

Disk|Disk Read Latency

The average amount of time taken for a read from the
perspective of a Guest OS. This is the sum of Kernel
Read Latency and Physical Device Read Latency.
Key: disk|totalReadLatency_average

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Metric

Description

Disk|Disk Write Latency

The average amount of time taken for a write from the
perspective of a Guest OS. This is the sum of Kernel
Write Latency and Physical Device Write Latency.
Key: disk|totalWriteLatency_average

Disk|Disk Command Latency (ms)

The average amount of time taken for a command from
the perspective of a Guest OS. This is the sum of Kernel
Command Latency and Physical Device Command
Latency.
Key: disk|totalLatency_average

Virtual Disk Metrics for Virtual Machines
Virtual disk metrics provide information about virtual disk use.
Metric

Description

VirtualDisk|Usage

Average CPU usage as a percentage.
Key: virtualDisk|usage

VirtualDisk|Total Latency

Total latency.
Key: virtualDisk|totalLatency

VirtualDisk|Commands Per Second

Average number of commands per second.
Key: virtualDisk|commandsAveraged_average

VirtualDisk|Read Requests

Average number of read commands issued per second
to the virtual disk during the collection interval.
Key: virtualDisk|numberReadAveraged_average

VirtualDisk|Write Requests

Average number of write commands issued per second
to the virtual disk during the collection interval.
Key: virtualDisk|numberWriteAveraged_average

VirtualDisk|Read Rate (KBps)

Rate of reading data from the virtual disk in kilobytes
per second.
Key: virtualDisk|read_average

VirtualDisk|Read Latency (ms)

Average amount of time for a read operation from the
virtual disk. Total latency = kernel latency + device
latency.
Key: virtualDisk|totalReadLatency_average

VirtualDisk|Write Latency (ms)

Average amount of time for a write operation to the
virtual disk. Total latency = kernel latency + device
latency.
Key: virtualDisk|totalWriteLatency_average

VirtualDisk|Write Rate (KBps)

Rate of writing data from the virtual disk in kilobytes
per second.
Key: virtualDisk|write_average

VirtualDisk|Bus Resets

The number of bus resets in the performance interval.
Key: virtualDisk|busResets_summation

VirtualDisk|Commands Aborted

The number of disk commands aborted in the
performance interval.
Key: virtualDisk|commandsAborted_summation

VirtualDisk|Read Load

Storage DRS virtual disk metric read load.
Key: virtualDisk|readLoadMetric_latest

VirtualDisk|Outstanding Read Requests

Average number of outstanding read requests to the
virtual disk.
Key: virtualDisk|readOIO_latest

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Metric

Description

VirtualDisk|Write Load

Storage DRS virtual disk write load.
Key: virtualDisk|writeLoadMetric_latest

VirtualDisk|Outstanding Write Requests

Average number of outstanding write requests to the
virtual disk.
Key: virtualDisk|writeOIO_latest

VirtualDisk|Number of Small Seeks

Small Seeks.
Key: virtualDisk|smallSeeks_latest

VirtualDisk|Number of Medium Seeks

Medium Seeks.
Key: virtualDisk|mediumSeeks_latest

VirtualDisk|Number of Large Seeks

Large Seeks.
Key: virtualDisk|largeSeeks_latest

VirtualDisk|Read Latency (microseconds)

Read Latency in microseconds.
Key: virtualDisk|readLatencyUS_latest

VirtualDisk|Write Latency (microseconds)

Write Latency in microseconds.
Key: virtualDisk|writeLatencyUS_latest

VirtualDisk|Average Read request size

Read IO size.
Key: virtualDisk|readIOSize_latest

VirtualDisk|Average Write request size

Write IO size.
Key: virtualDisk|writeIOSize_latest

Guest File System Metrics for Virtual Machines
Guest file system metrics provide information about guest file system capacity and free space.

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Metric

Description

Guest file system|Guest File System Capacity (MB)

Total capacity on guest file system in megabytes.
Key: guestfilesystem|capacity

Guest file system|Guest File System Free (MB)

Total free space on guest file system in megabytes.
Key: guestfilesystem|freespace

Guest file system|Guest File System Usage (%)

Percent guest file system.
Key: guestfilesystem|percentage

Guest file system|Guest File System Usage

Total usage of guest file system.
Key: guestfilesystem|usage

* Guest file system|Total Guest File System Free (GB)

This metric displays the amount of free disk space from all file
systems attached to this VM.
Use this metric to see if there are spikes in the free space or if
there is an organic growth for this VM.
Key: guestfilesystem|freespace_total

* Guest file system|Total Guest File System Capacity
(GB)

This metric displays the amount of disk space allocated for the
VM.
Correlate other metrics with this metric to indicate if changes
occur in the disk space allocation for the VM.
Key: guestfilesystem|capacity_total

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Metric

Description

* Guest file system|Total Guest File System Usage (%)

This metric displays the amount of displa space being used out
of the total allocated disk space.
Use his metric to track if the overall usage is stable, or if it
reaches the limits. You should avoid having VMs with a disk
space usage of >95% since this could impact your system.
Key: guestfilesystem|percentage_total

Guest file system|Total Guest File System Usage

Total usage of guest file system.
Key: guestfilesystem|usage_total

Network Metrics for Virtual Machines
Network metrics provide information about network performance.
Metric

Description

Net|Demand (%)

Percent demand.
Key: net|demand

Net|Usage Rate (KBps)

The sum of the data transmitted and received for all the NIC
instances of the host or virtual machine.
Key: net|usage_average

Net|Packets Received per second

Number of packets received in the performance interval.
Key: net|packetsRxPerSec

Net|Packets Transmitted per second

Number of packets transmitted in the performance interval.
Key: net|packetsTxPerSec

* Net|Data Transmit Rate (KBps)

This metric shows the rate of data being sent by the VM per
second.
Key: net|transmitted_average

* Net|Data Receive Rate (KBps)

This metric shows the rate of data received by the VM per
second.
Key: net|received_average

Net|Packets per second

Number of packets transmitted and received per second.
Key: net|PacketsPerSec

Net|I/O Usage Capacity

IO use capacity.
Key: net|usage_capacity

Net|Max Observed Throughput (KBps)

Maximum observed throughput in kilobytes per second.
Key: net|maxObserved_KBps

Net|Max Observed Transmitted Throughput

Max observed transmitted rate of network throughput.
Key: net|maxObserved_Tx_KBps

Net|Max Observed Received Throughput

Max observed received rate of network throughput.
Key: net|maxObserved_Rx_KBps

Net|Packets Received

Number of packets received in the performance interval.
Key: net|packetsRx_summation

Net|Packets Transmitted

Number of packets transmitted in the performance interval.
Key: net|packetsTx_summation

* Net|Received Packets Dropped

This metric shows the number of received packets dropped in
the collection interval.
Key: net|droppedRx_summation

* Net|Transmitted Packets Dropped

This metric shows the number of transmitted packets
dropped in the collection interval
Key: net|dropppedTx_summation

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Metric

Description

Net|Packets Dropped (%)

Percentage of packets dropped.
Key: net|droppedPct

Net|Packets Dropped

Number of packets dropped in the performance interval.
Key: net|dropped

Net|Broadcast Packets Transmitted

Number of broadcast packets transmitted during the
sampling interval.
Key: net|broadcastTx_summation

Net|Broadcast Packets Received

Number of broadcast packets received during the sampling
interval.
Key: net|broadcastRx_summation

Net|Bytes Rx (KBps)

Average amount of data received per second.
Key: net|bytesRx_average

Net|Bytes Tx (KBps)

Average amount of data transmitted per second.
Key: net|bytesTx_average

Net|Multicast Packets Received

Number of multicast packets received.
Key: net|multicastRx_summation

Net|Multicast Packets Transmitted

Number of multicast packets transmitted.
Key: net|multicastTx_summation

Net|VM to Host Data Transmit Rate

Average amount of data transmitted per second between VM
and host.
Key: net|host_transmitted_average

Net|VM to Host Data Receive Rate

Average amount of data received per second between VM
and host.
Key: net|host_received_average

Net|VM to Host Usage Rate

The sum of the data transmitted and received for all the NIC
instances between VM and host.
Key: net|host_usage_average

Net|VM to Host Max Observed Transmitted Throughput

Max observed transmitted rate of network throughput
between VM and host.
Key: net|host_maxObserved_Tx_KBps

Net|VM to Host Max Observed Received Throughput

Max observed received rate of network throughput between
VM and host.
Key: net|host_maxObserved_Rx_KBps

Net|VM to Host Max Observed Throughput

Max observed rate of network throughput between VM and
host.
Key: net|host_maxObserved_KBps

Net|Data Transmit Demand Rate

Data transmitted demand rate.
Key: net|transmit_demand_average

Net|Data Receive Demand Rate

Data received demand rate.
Key: net|receive_demand_average

System Metrics for Virtual Machines
System metrics for virtual machines provide general information about the virtual machine, such as its build
number and running state.

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Metric

Description

Sys|Powered ON

Powered on virtual machines. 1 if powered on, 0 if powered off, -1 if
unknown
Key: sys|poweredOn

Sys|Uptime (seconds)

Number of seconds since system startup.
Key: sys|uptime_latest

Sys|Heartbeat

Number of heartbeats from the virtual machine in the defined
interval.
Key: sys|heartbeat_summation

Sys|vMotion Enabled

1 if vMotion is enabled or 0 if vMotion is not enabled.
Key: sys|vmotionEnabled

Sys|Product String

VMware product string.
Key: sys|productString

Sys|Build Number

VMware build number.
Key: sys|build

Sys|OS Uptime

Total time elapsed, in seconds, since last operating system boot-up.
Key: sys|osUptime_latest

Power Metrics for Virtual Machines
Power metrics provide information about power use.
Metric

Description

Power|Energy (Joule)

Energy use in joules.
Key: power|energy_summation

Power|Power (Watt)

Average power use in watts.
Key: power|power_average

Disk Space Metrics for Virtual Machines
Disk space metrics provide information about disk space use.
Metric

Description

Diskspace|Not Shared (GB)

Unshared space in kilobytes.
Key: diskspace|notshared

Diskspace|Number of Virtual Disks

Number of virtual disks.
Key: diskspace|numvmdisk

Diskspace|Provisioned Space (GB)

Provisioned space in gigabytes.
Key: diskspace|provisioned

Diskspace|Provisioned Space for VM

Provisioned space for VM.
Key: diskspace|provisionedSpace

Diskspace|Shared Used (GB)

Shared used space in gigabytes.
Key: diskspace|shared

Diskspace|Snapshot Space (GB)

Space used by snapshots.
Key: diskspace|snapshot

Diskspace|Virtual Disk Used (GB)

Space used by virtual disks in gigabytes.
Key: diskspace|diskused

Diskspace|Virtual machine used (GB)

Space used by virtual machine files in gigabytes.
Key: diskspace|used

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Metric

Description

Diskspace|Total disk space used

Total disk space used on all datastores visible to this object.
Key: diskspace|total_usage

Diskspace|Total disk space

Total disk space on all datastores visible to this object.Key:
diskspace|total_capacity

Diskspace|Total provisioned disk space

Total provisioned disk space on all datastores visible to this
object.
Key: diskspace|total_provisioned

Diskspace|Active not shared

Unshared disk space used by VMs excluding snapshot.
Key: diskspace|activeNotShared

Storage Metrics for Virtual Machines
Storage metrics provide information about storage use.
Metric

Description

Storage|Commands per second

Average number of commands issued per second during the
collection interval.
Key: storage|commandsAveraged_average

Storage|Contention (%)

Percent contention.
Key: storage|contention

Storage|Demand (KBps)

Demand in kilobytes per second.
Key: storage|demandKBps

* Storage|Read Latency (ms)

This metric shows the latency that the VM experiences while
performing a read action.
Key: storage|totalReadLatency_average

Storage|Read Rate (KBps)

Read throughput rate in kilobytes per second.
Key: storage|read_average

Storage|Reads per second

Average number of read commands issued per second during
the collection interval.
Key: storage|numberReadAveraged_average

Storage|Total Latency (ms)

Total latency in milliseconds.
Key: storage|totalLatency_average

Storage|Total Usage (KBps)

Total throughput rate in kilobytes per second.
Key: storage|usage_average

* Storage|Write Latency (ms)

This metric shows the latency that this VM experiences while
performing a write action.
Key: storage|totalWriteLatency_average

Storage|Write Rate (KBps)

Write throughput rate in kilobytes per second.
Key: storage|write_average

Storage|Writes per second

Average number of write commands issued per second during
the collection interval.
Key: storage|numberWriteAveraged_average

Summary Metrics for Virtual Machines
Summary metrics provide information about overall performance.

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Metric

Description

Summary|Workload Indicator (%)

Percent workload indicator.
Key: summary|workload_indicator

Summary|CPU Shares

CPU shares.
Key: summary|cpu_shares

Summary|Memory Shares

Memory shares.
Key: summary|mem_shares

Summary|Number of Datastores

Number of datastores.
Key: summary|number_datastore

Summary|Number of Networks

Number of networks.
Key: summary|number_network

Summary|Running

Number of running virtual machines.
Key: summary|running

Summary|Desktop Status

Horizon View Desktop Status.
Key: summary|desktop_status

Host System Metrics
vRealize Operations Manager collects many metrics for host systems, including CPU use, datastore, disk,
memory, network, storage, and summary metrics for host system objects.
Capacity metrics can be calculated for host system objects. See “Capacity and Project-Based Metrics,” on
page 77.
Metrics marked with an asterisk (*) provide the most relevant data to use when you troubleshoot the hosts
in your environment.

vFlash Module Metrics for Host Systems
vFlash Module metrics provide information about the host system's flash devices.
Metric

Description

vFlashModule|Latest Number of Active VM Disks

Latest Number of Active VM Disks.
Key: vflashModule|numActiveVMDKs_latest

Configuration Metrics for Host Systems
Configuration metrics provide information about host system configuration.
Metric

Description

Configuration|Failover Hosts

Failover Hosts.
Key: configuration|dasConfig|admissionControlPolicy|
failoverHost

Hardware Metrics for Host Systems
Hardware metrics provide information about host system hardware.
Metric

Description

Hardware|Number of CPUs

Number of CPUs for a host.
Key: hardware|cpuinfo|num_CpuCores

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CPU Usage Metrics for Host Systems
CPU usage metrics provide information about CPU use.

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Metric

Description

CPU|Capacity Usage (%)

Percent CPU capacity used.
Key: cpu|capacity_usagepct_average

CPU|Usage (%)

Average CPU usage as a percentage.
Key: cpu|usage_average

* CPU|CPU Contention (%)

This metric indicates the percentage of time the virtual
machines in the ESXi hosts are unable to run because they are
contending for access to the physical CPU(s). This is the
average number of all VMs. Naturally, the number will be
lower than the highest number experienced by the worst hit
VM (a VM that suffers the highest CPU contention).
Use this metric to verify if the host is able to serve all of its
VMs well.
When using this metric, ensure the number is within your
expectation. The metric is affected by several factors so you
need to watch both relative numbers and absolute numbers.
Relative means a drastic change in value. This indicates that
the ESXi is unable to service its VMs.
Absolute means that the real value is high. You should
investigate why the value is high. One factor that impacts the
CPU contention metric is CPU Power Management. If CPU
Power Management clocks down the CPU speed from 3 GHz
to 2 GHz that reduction in speed is taken into account. This is
because the VM is not running at full speed.
Key: cpu|capacity_contentionPct

* CPU|Demand (%)

This metric shows the percentage of CPU resources all the
VMs would use if there was no CPU contention or any CPU
limits set.
It represents the average active CPU load for the past five
minutes.
Keep the number of this metric below 100% if you set Power
Management to Maximum.
Key: cpu|demandPct

CPU|Demand (MHz)

CPU demand in megahertz.
Key: cpu|demandmhz

CPU|IO Wait (ms)

IO wait time in milliseconds.
Key: cpu|iowait

CPU|Number of CPU Sockets

Number of CPU sockets.
Key: cpu|numpackages

CPU|Overall CPU Contention (ms)

Overall CPU contention in milliseconds.
Key: cpu|capacity_contention

CPU|Provisioned Capacity (MHz)

Capacity in MHz of the physical CPU cores.
Key: cpu|capacity_provisioned

CPU|Provisioned virtual CPUs

Provisioned virtual CPUs.
Key: cpu|corecount_provisioned

CPU|Total Wait

CPU time spent in idle state.
Key: cpu|wait

CPU|Demand

CPU demand.
Key: cpu|demand_average

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Metric

Description

CPU|Used (msec)

Time accounted to the virtual machine. If a system service
runs on behalf of this virtual machine, the time spent by that
service (represented by cpu.system) should be charged to this
virtual machine. If not, the time spent (represented by
cpu.overlap) should not be charged against this virtual
machine.
Key: cpu|used_summation

CPU|Usage (MHz)

CPU use in megahertz.
Key: cpu|usagemhz_average

CPU|Reserved Capacity (MHz)

The sum of the reservation properties of the (immediate)
children of the host's root resource pool.
Key: cpu|reservedCapacity_average

CPU|Total Capacity (MHz)

Total CPU capacity in megahertz.
Key: cpu|totalCapacity_average

CPU|Idle (ms)

CPU idle time in milliseconds.
Key: cpu|idle_summation

CPU|Overhead (KB)

Amount of CPU overhead.
Key: cpu|overhead_average

CPU|Demand without overhead

Value of demand excluding any overhead.
Key: cpu|demand_without_overhead

CPU|Core Utilization (%)

Percent core utilization.
Key: cpu|coreUtilization_average

CPU|Utilization(%)

Percent CPU utilization.
Key: cpu|utilization_average

CPU|Core Utilization (%)

Core Utilization.
Key: cpu|coreUtilization_average

CPU|Utilization (%)

Utilization.
Key: cpu|utilization_average

CPU|Co-stop (ms)

Time the VM is ready to run, but is unable to due to coscheduling constraints.
Key: cpu|costop_summation

CPU|Latency (%)

Percentage of time the VM is unable to run because it is
contending for access to the physical CPUs.
Key: cpu|latency_average

CPU|Ready (ms)

Time spent in ready state.
Key: cpu|ready_summation

CPU|Run (ms)

Time the virtual machine is scheduled to run.
Key: cpu|run_summation

CPU|Swap wait (ms)

Amount of time waiting for swap space.
Key: cpu|swapwait_summation

CPU|Wait (ms)

Total CPU time spent in wait state.
Key: cpu|wait_summation

CPU|Provisioned Capacity

Provisioned capacity (MHz).
Key: cpu|vm_capacity_provisioned

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Metric

Description

CPU|Active Host Load For Balance (Long Term)

Active Host Load For Balance (Long Term).
Key: cpu|acvmWorkloadDisparityPcttive_longterm_load

CPU|Active Host Load For Balance (Short Term)

Active Host Load For Balance (Short Term).
Key: cpu|active_shortterm_load

CPU Utilization for Resources Metrics for Host Systems
CPU utilization for resources metrics provide information about CPU activity.
Metric Name

Description

Rescpu|CPU Active (%) (interval)

Average active time for the CPU over the past minute, past five
minutes, and at one-minute, five-minute, and 15-minute peak active
times.
Key:
rescpu|actav1_latest
rescpu|actav5_latest
rescpu|actav15_latest
rescpu|actpk1_latest
rescpu|actpk5_latest
rescpu|actpk15_latest

Rescpu|CPU Running (%) (interval)

Average run time for the CPU over the past minute, past five minutes,
past 15 minutes, and at one-minute, five-minute, and 15-minute peak
times.
Key:
rescpu|runav1_latest
rescpu|runav5_latest
rescpu|runav15_latest
rescpu|runpk1_latest
rescpu|runpk5_latest
rescpu|runpk15_latest

Rescpu|CPU Throttled (%) (interval)

Scheduling limit over the past minute, past five minutes, and past 15
minutes.
Key:
rescpu|maxLimited1_latest
rescpu|maxLimited5_latest
rescpu|maxLimited15_latest

Rescpu|Group CPU Sample Count

Group CPU sample count.
Key: rescpu|sampleCount_latest

Rescpu|Group CPU Sample Period (ms)

Group CPU sample period in milliseconds.
Key: rescpu|samplePeriod_latest

Datastore Metrics for Host Systems
Datastore metrics provide information about datastore use.

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Metric

Notes

Datastore|Outstanding IO requests

OIO for datastore.
Key: datastore|demand_oio

Datastore|Max Observed Reads per second

Max observed average number of read commands
issued per second during the collection interval.
Key: datastore|maxObserved_NumberRead

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Metric

Notes

Datastore|Max Observed Read Rate

Max observed rate of reading data from the
datastore.
Key: datastore|maxObserved_Read

Datastore|Max Observed Writes per second

Max observed average number of write commands
issued per second during the collection interval.
Key: datastore|maxObserved_NumberWrite

Datastore|Max Observed Write Rate

Max observed rate of writing data from the
datastore.
Key: datastore|maxObserved_Write

Datastore|Max Observed Number of Outstanding IO Operations

Max Observed Number of Outstanding IO
Operations.
Key: datastore|maxObserved_OIO

Datastore|Commands Averaged

Average number of commands issued per second
during the collection interval.
Key: datastore|commandsAveraged_average

Datastore|Number of Outstanding IO Operations

Number of outstanding IO operations.
Key: datastore|oio

Datastore|Disk Command Latency (ms)

The average amount of time taken for a command
from the perspective of a Guest OS. This is the sum
of Kernel Command Latency and Physical Device
Command Latency.
Key: datastore|totalLatency_average

Datastore|Usage Average (KBps)

Usage Average (KBps).
Key: datastore|usage_average

Datastore|Demand

Demand.
Key: datastore|demand

Datastore|Storage I/O Control aggregated IOPS

Aggregate number of IO operations on the
datastore.
Key: datastore|datastoreIops_average

Datastore|Reads per second

Average number of read commands issued per
second during the collection interval.
Key: datastore|numberReadAveraged_average

Datastore|Writes per second

Average number of write commands issued per
second during the collection interval.
Key: datastore|numberWriteAveraged_average

Datastore|Read Rate (KBps)

Rate of reading data from the datastore in kilobytes
per second.
Key: datastore|read_average

Datastore|Storage I/O Control normalized latency (ms)

Normalized latency in microseconds on the
datastore. Data for all virtual machines is combined.
Key: datastore|
sizeNormalizedDatastoreLatency_average

Datastore|Read Latency (ms)

Average amount of time for a read operation from
the datastore. Total latency = kernel latency + device
latency.
Key: datastore|totalReadLatency_average

Datastore|Write Latency (ms)

Average amount of time for a write operation to the
datastore. Total latency = kernel latency + device
latency.
Key: datastore|totalWriteLatency_average

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Metric

Notes

Datastore|Write Rate (KBps)

Rate of writing data to the datastore in kilobytes per
second.
Key: datastore|write_average

Datastore|Max Queue Depth

Max Queue Depth.
Key: datastore|datastoreMaxQueueDepth_latest

Datastore|Highest Latency

Highest Latency.
Key: datastore|maxTotalLatency_latest

Datastore|Total Latency Max

Total Latency Max (ms).
Key: datastore|totalLatency_max

Datastore|Read Latency

Read Latency.
Key: datastore|datastoreNormalReadLatency_latest

Datastore|Write Latency

Write Latency.
Key: datastore|datastoreNormalWriteLatency_latest

Datastore|Data Read

Data Read.
Key: datastore|datastoreReadBytes_latest

Datastore|Data Read Rate

Data Rate.
Key: datastore|datastoreReadIops_latest

Datastore|Read Load

Storage DRS metric read load.
Key: datastore|datastoreReadLoadMetric_latest

Datastore|Outstanding Read Requests

Outstanding Read Requests.
Key: datastore|datastoreReadOIO_latest

Datastore|Data Written

Data Written.
Key: datastore|datastoreWriteBytes_latest

Datastore|Data Write Rate

Data Write Rate.
Key: datastore|datastoreWriteIops_latest

Datastore|Write Load

Storage DRS metric write load.
Key: datastore|datastoreWriteLoadMetric_latest

Datastore|Outstanding Write Requests

Outstanding Write Requests.
Key: datastore|datastoreWriteOIO_latest

* Datastore|Average Observed Virtual Machine Disk I/O
Workload

Average Observed Virtual Machine Disk I/O
Workload on the Host.
Key: datastore|vmPopulationAvgWorkload

Datastore|Maximum Observed VM Disk I/O Workload

Maximum Observed VM Disk I/O Workload on the
Host.
Key: datastore|vmPopulationMaxWorkload

Datastore|VM Disk I/O Workload Disparity

Percentage Disk I/O workload disparity among the
VMs on the Host.
Key: datastore|vmWorkloadDisparityPc

Disk Metrics for Host Systems
Disk metrics provide information about disk use.

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Metric

Description

Disk|Usage Rate (KBps)

Average of the sum of the data read and written for all
of the disk instances of the host or virtual machine.
disk|usage_average

Disk|I/O Usage Capacity

This metric is a function of storage|usage_average and
disk|workload. storage|usage_average is an average
over all storage devices. This means that disk|
usage_capacity is not specific to the selected VM or the
host of the VM.
Key: disk|usage_capacity

Disk|Commands per second

Average number of commands issued per second
during the collection interval.
Key: disk|commandsAveraged_average

Disk|Disk Command Latency (ms)

The average amount of time taken for a command
from the perspective of a Guest OS. This is the sum of
Kernel Command Latency and Physical Device
Command Latency.
Key: disk|totalLatency_average

Disk|Reads per second

Average number of read commands issued per second
during the collection interval.
Key: disk|numberReadAveraged_average

Disk|Writes per second

Average number of write commands issued per
second during the collection interval.
Key: disk|numberWriteAveraged_average

Disk|Read Requests

Number of times data was read from the disk in the
defined interval.
Key: disk|numberRead_summation

Disk|Write Requests

Number of times data was written to the disk in the
defined interval.
Key: disk|numberWrite_summation

Disk|Read Rate

Amount of data read in the performance interval.
Key: disk|read_average

Disk|Write Rate

Amount of data written to disk in the performance
interval.
Key: disk|write_average

Disk|Bus Resets

The number of bus resets in the performance interval.
Key: disk|busResets_summation

Disk|Commands Issued

The number of disk commands issued in the
performance interval.
Key: disk|commands_summation

Disk|Commands Aborted

The number of disk commands aborted in the
performance interval.
Key: disk|commandsAborted_summation

Disk|Physical Device Read Latency (ms)

The average time taken to complete a read from the
physical device.
Key: disk|deviceReadLatency_average

Disk|Kernel Disk Read Latency (ms)

The average time spent in ESX Server VMKernel per
read.
Key: disk|kernelReadLatency_average

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Metric

Description

Disk|Disk Read Latency (ms)

The average amount of time taken for a read from the
perspective of a Guest OS. This is the sum of Kernel
Read Latency and Physical Device Read Latency.
Key: disk|totalReadLatency_average

Disk|Queue Read Latency (ms)

The average time spent in the ESX Server VMKernel
queue per read.
Key: disk|queueReadLatency_average

Disk|Physical Device Write Latency (ms)

The average time taken to complete a write from the
physical device.
Key: disk|deviceWriteLatency_average

Disk|Kernel Disk Write Latency (ms)

The average time spent in ESX Server VMKernel per
write.
Key: disk|kernelWriteLatency_average

Disk|Disk Write Latency (ms)

The average amount of time taken for a write from the
perspective of a Guest OS. This is the sum of Kernel
Write Latency and Physical Device Write Latency.
Key: disk|totalWriteLatency_average

Disk|Queue Write Latency (ms)

The average time spent in the ESX Server VMKernel
queue per write.
Key: disk|queueWriteLatency_average

Disk|Physical Device Command Latency (ms)

The average time taken to complete a command from
the physical device.
Key: disk|deviceLatency_average

Disk|Kernel Disk Command Latency (ms)

The average time spent in ESX Server VMKernel per
command.
Key: disk|kernelLatency_average

Disk|Queue Command Latency (ms)

The average time spent in the ESX Server VMKernel
queue per command.
Key: disk|queueLatency_average

Disk|Number of Outstanding IO Operations

Number of Outstanding IO Operations.
Key: disk|diskoio

Disk|Queued Operations

Queued Operations.
Key: disk|diskqueued

Disk|Demand

Demand.
Key: disk|diskdemand

Disk|Total Queued Outstanding operations

Sum of Queued Operation and Outstanding
Operations.
Key: disk|sum_queued_oio

Disk|Max Observed OIO

Max Observed IO for a disk.
Key: disk|max_observed

Disk|Highest Latency

Highest Latency.
Key: disk|maxTotalLatency_latest

Disk|Max Queue Depth

Maximum queue depth during the collection interval.
Key: disk|maxQueueDepth_average

Disk|SCSI Reservation Conflicts

SCSI Reservation Conflicts.
Key: disk|scsiReservationConflicts_summation

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Memory Metrics for Host Systems
Memory metrics provide information about memory use and allocation.
Metric

Description

* Mem|Contention (%)

This metric is used to monitor ESXi memory usage.
When the value is high, it means the ESXi is using a
good percentage of available memory. You may need
to add more memory to other memory-related
metrics.
Key: mem|host_contentionPct

Mem|Contention (KB)

Host contention in kilobytes.
Key: mem|host_contention

Mem|Host Usage (KB)

Machine usage in kilobytes.
Key: mem|host_usage

Mem|Machine Demand (KB)

Host demand in kilobytes.
Key: mem|host_demand

Mem|Overall Memory used to run VMs on Host (KB)

Overall memory used to run virtual machines on the
host in kilobytes.
Key: mem|host_usageVM

Mem|Provisioned Memory (KB)

Provisioned memory in kilobytes.
Key: mem|host_provisioned

Mem|Minimum Free Memory (KB)

Minimum free memory.
Key: mem|host_minfree

Mem|Reserved Capacity (%)

Percent reserved capacity.
Key: mem|reservedCapacityPct

Mem|Usable Memory (KB)

Usable memory in kilobytes.
Key: mem|host_usable

* Mem|Usage (%)

Memory currently in use as a percentage of total
available memory.
Key: mem|host_usagePct

Mem|ESX System Usage

Memory usage by the VMkernel and ESX user-level
services.
Key: mem|host_systemUsage

Mem|Guest Active (KB)

Amount of memory that is actively used.
Key: mem|active_average

Mem|Consumed (KB)

Amount of host memory consumed by the virtual
machine for guest memory.
Key: mem|consumed_average

Mem|Granted (KB)

Amount of memory available for use.
Key: mem|granted_average

Mem|Heap (KB)

Amount of memory allocated for heap.
Key: mem|heap_average

Mem|Heap Free (KB)

Amount of free space in the heap.
Key: mem|heapfree_average

Mem|VM Overhead (KB)

Memory overhead reported by host.
Key: mem|overhead_average

Mem|Reserved Capacity (KB)

Reserved capacity in kilobytes.
Key: mem|reservedCapacity_average

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Metric

Description

Mem|Shared (KB)

Amount of shared memory in kilobytes.
Key: mem|shared_average

Mem|Shared Common (KB)

Amount of shared common memory in kilobytes.
Key: mem|sharedcommon_average

Mem|Swap In (KB)

Amount of memory swapped in.
Key: mem|swapin_average

Mem|Swap Out KB)

Amount of memory swapped out.
Key: mem|swapout_average

Mem|Swap Used (KB)

Amount of memory used for swapped space in
kilobytes.
Key: mem|swapused_average

Mem|VM kernel Usage (KB)

Amount of memory used by the VM kernel.
Key: mem|sysUsage_average

Mem|Unreserved (KB)

Amount of unreserved memory in kilobytes.
Key: mem|unreserved_average

* Mem|Balloon (KB)

This metric shows the total amount of memory
currently used by the VM memory control. This
memory was reclaimed from the respective VMs at
some point in the past, and was not returned.
Use this metric to monitor how much VM memory
has been reclaimed by ESXi through memory
ballooning.
The presence of ballooning indicates the ESXi has
been under memory pressure. The ESXi activates
ballooning when consumed memory reaches a certain
threshold.
Look for increasing size of ballooning. This indicates
that there has been a shortage of memory more than
once. Look for size fluctuations which indicate the
ballooned out page was actually required by the VM.
This translates into a memory performance problem
for the VM requesting the page, since the page must
first be brought back from the disk.
Key: mem|vmmemctl_average

Mem|Zero (KB)

Amount of memory that is all zero.
Key: mem|zero_average

Mem|State (0-3)

Overall state of the memory. The value is an integer
between 0 (high) and 3 (low).
Key: mem|state_latest

Mem|Usage (KB)

Host memory use in kilobytes.
Key: mem|host_usage

Mem|Usage (%)

Memory currently in use as a percentage of total
available memory.
Key: mem|usage_average

Mem|Swap In Rate (KBps)

Rate at which memory is swapped from disk into
active memory during the interval in kilobyte per
second.
Key: mem|swapinRate_average

Mem|Swap Out Rate (KBps)

Rate at which memory is being swapped from active
memory to disk during the current interval in
kilobytes per second.
Key: mem|swapoutRate_average

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Metric

Description

Mem|Active Write (KB)

Average active writes in kilobytes.
Key: mem|activewrite_average

Mem|Compressed (KB)

Average memory compression in kilobytes.
Key: mem|compressed_average

Mem|Compression Rate (KBps)

Average compression rate in kilobytes per second.
Key: mem|compressionRate_average

Mem|Decompression Rate (KBps)

Decompression rate in kilobytes per second.
Key: mem|decompressionRate_average

Mem|Total Capacity (KB)

Total capacity in kilobytes.
Key: mem|totalCapacity_average

Mem|Latency

Percentage of time the VM is waiting to access
swapped or compressed memory.
Key: mem|latency_average

Mem|Capacity Contention

Capacity Contention.
Key: mem|capacity.contention_average

Mem|Swap In Rate from Host Cache

Rate at which memory is being swapped from host
cache into active memory.
Key: mem|llSwapInRate_average

Mem|Swap In from Host Cache

Amount of memory swapped-in from host cache.
Key: mem|llSwapIn_average

Mem|Swap Out Rate to Host Cache

Rate at which memory is being swapped to host
cache from active memory.
Key: mem|llSwapOutRate_average

Mem|Swap Out to Host Cache

Amount of memory swapped-out to host cache.
Key: mem|llSwapOut_average

Mem|Swap Space Used in Host Cache

Space used for caching swapped pages in the host
cache.
Key: mem|llSwapUsed_average

Mem|Low Free Threshold

Threshold of free host physical memory below which
ESX will begin reclaiming memory from VMs
through ballooning and swapping.
Key: mem|lowfreethreshold_average

Mem|VM Memory Workload Disparity

Percentage Memory workload disparity among the
VMs on the Host.
Key: mem|vmWorkloadDisparityPct

Mem|Active Host Load For Balance (Long Term)

Active Host Load For Balance (Long Term).
Key: mem|active_longterm_load

Mem|Active Host Load For Balance (Short Term)

Active Host Load For Balance (Short Term).
Key: mem|active_shortterm_load

Network Metrics for Host Systems
Network metrics provide information about network performance.

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Metric

Description

* Net|Packets Received per second

This metric shows the number of packets received during
the collection interval.
Use this metric to monitor the network usage of the ESXi.
Key: net|packetsRxPerSec

* Net|Packets Transmitted per second

This metric shows the number of packets transmitted
during the collection interval.
Key: net|packetsTxPerSec

Net|Packets per second

Number of packets transmitted and received per second.
Key: net|packetsPerSec

Net|Usage Rate (KBps)

The sum of the data transmitted and received for all the
NIC instances of the host or virtual machine.
Key: net|usage_average

Net|I/O Usage Capacity

I/O Usage Capacity.
Key: net|usage_capacity

Net|Max Observed Throughput

Max observed rate of network throughput.
Key: net|maxObserved_KBps

Net|Max Observed Transmitted Throughput

Max observed transmitted rate of network throughput.
Key: net|maxObserved_Tx_KBps

Net|Max Observed Received Throughput

Max observed received rate of network throughput.
Key: net|maxObserved_Rx_KBps

Net|Demand (%)

Percent demand.
Key: net|demand

Net|Data Transmit Rate (KBps)

Average amount of data transmitted per second.
Key: net|transmitted_average

Net|Data Receive Rate (KBps)

Average amount of data received per second.
Key: net|received_average

Net|Packets Received

Number of packets received in the performance interval.
Key: net|packetsRx_summation

Net|Packets Transmitted

Number of packets transmitted in the performance
interval.
Key: net|packetsTx_summation

Net|Received Packets Dropped

Number of received packets dropped in the performance
interval.
Key: net|droppedRx_summation

Net|Transmitted Packets Dropped

Number of transmitted packets dropped in the
performance interval.
Key: net|droppedTx_summation

* Net|Packets Dropped (%)

This metric shows the percentage of received and
transmitted packets dropped during the collection interval.
This metric is used to monitor reliability and performance
of the ESXi network. When a high value is displayed, the
network is not reliable and performance suffers.
Key: net|droppedPct

Net|Packets Dropped

Number of packets dropped in the performance interval.
Key: net|dropped

Net|bytes Rx (KBps)

Average amount of data received per second.
Key: net|bytesRx_average

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Metric

Description

Net|bytes Tx (KBps)

Average amount of data transmitted per second.
Key: net|bytesTx_average

Net|Broadcast Packets Received

Number of broadcast packets received during the
sampling interval.
Key: net|broadcastRx_summation

Net|Broadcast Packets Transmitted

Number of broadcast packets transmitted during the
sampling interval.
Key: net|broadcastTx_summation

Net|Error Packets Received

Number of packets with errors received.
Key: net|errorsRx_summation

Net|Error Packets Transmitted

Number of packets with errors transmitted.
Key: net|errorsTx_summation

Net|Multicast Packets Received

Number of multicast packets received.
Key: net|multicastRx_summation

Net|Multicast Packets Transmitted

Number of multicast packets transmitted.
Key: net|multicastTx_summation

Net|FT Throughput Usage

FT Throughput Usage.
Key: net|throughput.usage.ft_average

Net|HBR Throughput Usage

HBR Throughput Usage.
Key: net|throughput.usage.hbr_average

Net|iSCSI Throughput Usage

iSCSI Throughput Usage.
Key: net|throughput.usage.iscsi_average

Net|NFS Throughput Usage

NFS Throughput Usage.
Key: net|throughput.usage.nfs_average

Net|VM Throughput Usage

VM Throughput Usage.
Key: net|throughput.usage.vm_average

Net|vMotion Throughput Usage

vMotion Throughput Usage.
Key: net|throughput.usage.vmotion_average

Net|Unknown Protocol Frames Received

Number of frames with unknown protocol received.
Key: net|unknownProtos_summation

System Metrics for Host Systems
System metrics provide information about the amount of CPU that resources and other applications use.
Metric

Description

Sys|Power On

1 if the host system is powered on, 0 if the host system is
powered off, or -1 if the power state is unknown.
Key: sys|poweredOn

Sys|Uptime (seconds)

Number of seconds since the last system startup.
Key: sys|uptime_latest

Sys|Disk Usage (%)

Percent disk use.
Key: sys|diskUsage_latest

Sys|Resource CPU Usage (MHz)

Amount of CPU that the Service Console and other
applications use.
Key: sys|resourceCpuUsage_average

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Metric

Description

Sys|Resource CPU Active (1 min. average)

Percentage of resource CPU that is active. Average value
during a one-minute period.
Key: sys|resourceCpuAct1_latest

Sys|Resource CPU Active (%) (5 min. average)

Percentage of resource CPU that is active. Average value
during a five-minute period.
Key: sys|resourceCpuAct5_latest

Sys|Resource CPU Alloc Max (MHz)

Maximum resource CPU allocation in megahertz.
Key: sys|resourceCpuAllocMax_latest

Sys|Resource CPU Alloc Min (MHz)

Minimum resource CPU allocation in megahertz.
Key: sys|resourceCpuAllocMin_latest

Sys|Resource CPU Alloc Shares

Number of resource CPU allocation shares.
Key: sys|resourceCpuAllocShares_latest

Sys|Resource CPU Max Limited (%) (1 min. average)

Percent of resource CPU that is limited to the maximum
amount. Average value during a one-minute period.
Key: sys|resourceCpuMaxLimited1_latest

Sys|Resource CPU Max Limited (%) (5 min. average)

Percentage of resource CPU that is limited to the
maximum amount. Average value during a five-minute
period.
Key: sys|resourceCpuMaxLimited5_latest

Sys|Resource CPU Run1 (%)

Percent resource CPU for Run1.
Key: sys|resourceCpuRun1_latest

Sys|Resource CPU Run5 (%)

Percent resource CPU for Run5.
Key: sys|resourceCpuRun5_latest

Sys|Resource Memory Alloc Max (KB)

Maximum resource memory allocation in kilobytes.
Key: sys|resourceMemAllocMax_latest

Sys|Resource Memory Alloc Min (KB)

Minimum resource memory allocation in kilobytes.
Key: sys|resourceMemAllocMin_latest

Sys|Resource Memory Alloc Shares

Number of resource memory shares allocated.
Key: sys|resourceMemAllocShares_latest

Sys|Resource Memory Cow (KB)

Cow resource memory in kilobytes.
Key: Sys|resourceMemCow_latest

Sys|Resource Memory Mapped (KB)

Mapped resource memory in kilobytes.
Key: ys|resourceMemMapped_latest

Sys|Resource Memory Overhead (KB)

Resource memory overhead in kilobytes.
Key: sys|resourceMemOverhead_latest

Sys|Resource Memory Shared (KB)

Shared resource memory in kilobytes.
Key: sys|resourceMemShared_latest

Sys|Resource Memory Swapped (KB)

Swapped resource memory in kilobytes.
Key: sys|resourceMemSwapped_latest

Sys|Resource Memory Touched (KB)

Touched resource memory in kilobytes.
Key: sys|resourceMemTouched_latest

Sys|Resource Memory Zero (KB)

Zero resource memory in kilobytes.
Key: sys|resourceMemZero_latest

Sys|Resource Memory Consumed

Resource Memory Consumed Latest (KB).
Key: sys|resourceMemConsumed_latest

Sys|Resource File descriptors usage

Resource File descriptors usage (KB).
Key: sys|resourceFdUsage_latest

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Metric

Description

Sys|vMotion Enabled

1 if vMotion is enabled or 0 if vMotion is not enabled.
Key: sys|vmotionEnabled

Sys|Not in Maintenance

Not in maintenance.
Key: sys|notInMaintenance

Management Agent Metrics for Host Systems
Management agent metrics provide information about memory use.
Metric

Description

Management Agent|Memory Used (%)

Amount of total configured memory that is available for
use.
Key: managementAgent|memUsed_average

Management Agent|Memory Swap Used (KB)

Sum of the memory swapped by all powered-on virtual
machines on the host.
Key: managementAgent|swapUsed_average

Management Agent|Memory Swap In (KBps)

Amount of memory that is swapped in for the Service
Console.
Key: managementAgent|swapIn_average

Management Agent|Memory Swap Out (KBps)

Amount of memory that is swapped out for the Service
Console.
Key: managementAgent|swapOut_average

Management Agent|CPU Usage

CPU usage.
Key: managementAgent|cpuUsage_average

Storage Path Metrics for Host Systems
Storage path metrics provide information about data storage use.
Metric

Description

StoragePath|Total Latency (ms)

Total latency in milliseconds.
Key: storagePath|totalLatency

StoragePath|Total Usage (KBps)

Total latency in kilobytes per second.
Key: storagePath|usage

StoragePath|Read Rate (KBps)

Rate of reading data from the virtual disk.
Key: storagePath|read_average

StoragePath|Write Rate (KBps)

Rate of writing data.
Key: storagePath|write_average

StoragePath|Commands per second

Average number of commands issued per second
during the collection interval.
Key: storagePath|commandsAveraged_average

StoragePath|Reads per second

Average number of read commands issued per second
during the collection interval.
Key: storagePath|numberReadAveraged_average

StoragePath|Writes per second

Average number of write commands issued per
second during the collection interval.
Key: storagePath|totalWriteLatency_average

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Metric

Description

StoragePath|Writes per second

Average number of write commands issued per
second during the collection interval.
Key: storagePath|numberWriteAveraged_average

StoragePath|Read Latency (ms)

Average amount of time for a read operation by the
storage adapter.
Key: storagePath|totalReadLatency_average

StoragePath|Highest Latency

Highest Latency.
Key: storagePath|maxTotalLatency_latest

StoragePath|Storage Path Name

Storage path name.
Key: storagePath|storagePathName

Storage Adapter Metrics for Host Systems
Storage adapter metrics provide information about data storage use.

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Metric

Description

Storage Adapter|Total Usage (KBps)

Total latency.
Key: storageAdapter|usage

Storage Adapter|Port WWN

Port World Wide Name.
Key: storageAdapter|portWWN

Storage Adapter|Commands per second

Average number of commands issued per second by the
storage adapter during the collection interval.
Key: storageAdapter|commandsAveraged_average

Storage Adapter|Reads per second

Average number of read commands issued per second by the
storage adapter during the collection interval.
Key: storageAdapter|numberReadAveraged_average

Storage Adapter|Writes per second

Average number of write commands issued per second by the
storage adapter during the collection interval.
Key: storageAdapter|numberWriteAveraged_average

Storage Adapter|Read Rate (KBps)

Rate of reading data by the storage adapter.
Key: storageAdapter|read_average

* Storage Adapter|Read Latency (ms)

This metric shows the average amount of time for a read
operation by the storage adapter.
Use this metric to monitor the storage adapter read operation
performance. A high value means that the ESXi is performing
a slow storage read operation.
Total latency is the sum of kernel latency and device latency.
Key: storageAdapter|totalReadLatency_average

* Storage Adapter|Write Latency (ms)

This metric shows the average amount of time for a write
operation by the storage adapter.
Use this metric to monitor the storage adapter write
performance operation. A high value means that the ESXi is
performing a slow storage write operation.
Total latency is the sum of kernel latency and device latency.
Key: storageAdapter|totalWriteLatency_average

Storage Adapter|Write Rate (KBps)

Rate of writing data by the storage adapter.
Key: storageAdapter|write_average

Storage Adapter|Demand

Demand.
Key: storageAdapter|demand

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Metric

Description

Storage Adapter|Highest Latency

Highest Latency.
Key: torageAdapter|maxTotalLatency_latest

Storage Adapter|Outstanding Requests

Outstanding Requests.
Key: storageAdapter|outstandingIOs_average

Storage Adapter|Queue Depth

Queue Depth.
Key: storageAdapter|queueDepth_average

Storage Adapter|Queue Command Latency (ms)

The average time spent in the ESX Server VM Kernel queue
per command.
Key: storageAdapter|queueLatency_average

Storage Adapter|Queued

Queued.
Key: storageAdapter|queued_average

Storage Metrics for Host Systems
Storage metrics provide information about storage use.
Metric

Description

Storage|Commands per second

Average number of commands issued per second
during the collection interval.
Key: storage|commandsAveraged_average

Storage|Read Latency (ms)

Average amount of time for a read operation in
milliseconds.
Key: storage|totalReadLatency_average

Storage|Read Rate (KBps)

Read throughput rate in kilobytes.
Key: storage|read_average

Storage|Reads per second

Average number of read commands issued per
second during the collection interval.
Key: storage|numberReadAveraged_average

Storage|Total Latency (ms)

Total latency in milliseconds.
Key: storage|totalLatency_average

Storage|Total Usage (KBps)

Total throughput rate in kilobytes per second.
Key: storage|usage_average

Storage|Write Latency (ms)

Average amount of time for a write operation in
milliseconds.
Key: storage|totalWriteLatency_average

Storage|Write Rate (KBps)

Write throughput rate in kilobytes per second.
Key: storage|write_average

Storage|Writes per second

Average number of write commands issued per
second during the collection interval.
Key: storage|numberWriteAveraged_average

Sensor Metrics for Host Systems
Sensor metrics provide information about host system cooling.

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Metric

Description

Sensor|Fan|Speed (%)

Percent fan speed.
Key: Sensor|fan|currentValue

Sensor|Fan|Health State

Fan health state.
Key: Sensor|fan|healthState

Sensor|Temperature|Temp C

Fan temperature in centigrade.
Key: Sensor|temperature|currentValue

Sensor|Temperature|Health State

Fan health state.
Key: Sensor|temperature|healthState

Power Metrics for Host Systems
Power metrics provide information about host system power use.
Metric

Description

Power|Energy (Joule)

Host power use in joules.
Key: power|energy_summation

Power|Power (Watt)

Host power use in watts.
Key: power|power_average

Power|Power Cap (Watt)

Host power capacity in watts.
Key: power|powerCap_average

Disk Space Metrics for Host Systems
Disk space metrics provide information about disk space use.
Metric

Description

Diskspace|Not Shared (GB)

Unshared disk space in gigabytes.
Key: diskspace|notshared

Diskspace|Number of Virtual Disks

Number of virtual disks.
Key: diskspace|numvmdisk

Diskspace|Shared Used (GB)

Used shared disk space in gigabytes.
Key: diskspace|shared

Diskspace|Snapshot

Disk space used by snapshots in gigabytes.
Key: diskspace|snapshot

Diskspace|Virtual Disk Used (GB)

Disk space used by virtual disks in gigabytes.
Key: diskspace|diskused

Diskspace|Virtual machine used (GB)

Disk space used by virtual machines in gigabytes.
Key: diskspace|used

Diskspace|tTotal disk space used

Total disk space used on all datastores visible to this object.
Key: diskspace|total_usage

Diskspace|Total disk spacey

Total disk space on all datastores visible to this object.
Key: diskspace|total_capacity

Diskspace|Total provisioned disk space

Total provisioned disk space on all datastores visible to this object.
Key: diskspace|total_provisioned .

Summary Metrics for Host Systems
Summary metrics provide information about overall host system performance.

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Metric

Description

* Summary|Number of Running VMs

This metric shows the number of VMs running on the host
during the last metric collection time.
Large spikes of running VMs might be a reason for CPU or
memory spikes as more resources will be used in the host.
Number of Running VMs gives you a good indicator of how
many requests the ESXi host must juggle. This excludes
powered off VMs as they do not impact ESXi performance. A
change in this number in your environment can contribute to
performance problems. A high number of running VMs in a
host also means a higher concentration risk, as all the VMs
will go down (or be relocated by HA) if the ESXi crashes.
Look for any correlation between spikes in the number of
running VMs and spikes in other metrics such as CPU
Contention/Memory Contention.
Key: summary|number_running_vms

Summary|Maximum Number of VMs

Maximum number of virtual machines
Key: summary|max_number_vms

* Summary|Number of vMotions

This metric shows the number of vMotions that occurred in
the host in the last X minutes.
The number of vMotions is a good indicator of stability. In a
healthy environment, this number should be stable and
relatively low.
Look for correlation between vMotions and spikes in other
metrics such as CPU/Memory contention.
The vMotion should not create any spikes, however, the VMs
moved into the host might create spikes in memory usage,
contention and CPU demand and contention.
Key: summary|number_vmotion

Summary|Total Number of Datastores

Total Number of Datastores.
Key: summary|total_number_datastores

Summary|Number of VCPUs on Powered On VMs

Total number of VCPUs of Virtual Machines that are powered
on.
Key: summary|number_running_vcpus

Summary|Total Number of VMs

Total number of virtual machines.
Key: summary|total_number_vms

Summary|Workload Indicator (%)

Percent workload indicator.
Key: summary|workload_indicator

HBR Metrics for Host Systems
Host-based replication (HBR) metrics provide information about vSphere replication.
Metric

Description

HBR|Replication Data Received Rate

Replication Data Received Rate.
Key: hbr|hbrNetRx_average

HBR|Replication Data Transmitted Rate

Replication Data Transmitted Rate.
Key: hbr|hbrNetTx_average

HBR|Replicated VM Count

Number of replicated virtual machines.
Key: hbr|hbrNumVms_average

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Cluster Compute Resource Metrics
vRealize Operations Manager collects configuration, storage, disk space, CPU use, disk, memory, network,
power, and summary metrics for cluster compute resources.
Cluster Compute Resource metrics include capacity and badge metrics. See definitions in:
n

“Capacity and Project-Based Metrics,” on page 77

n

“Badge Metrics,” on page 80

Metrics marked with an asterisk (*) provide the most relevant data to use when you troubleshoot the
clusters in your environment.

Configuration Metrics for Cluster Compute Resources
Configuration metrics provide information about configuration settings.
Metric

Description

Configuration|Failover Level

DAS configuration failover level.
Key: configuration|dasconfig|failoverLevel

Configuration|Active Admission Control Policy

DAS configuration active admission control policy.
Key: configuration|dasconfig|
activeAdministrationControlPolicy

Configuration|CPU Failover Resources Percent

Percent CPU failover resources for DAS
configuration admission control policy.
Key: configuration|dasconfig|
adminissionControlPolicy|
cpuFailoverResourcesPercent

Configuration|Memory Failover Resources Percent

Percent memory failover resources for DAS
configuration admission control policy.
Key: configuration|dasconfig|
adminissionControlPolicy|
memoryFailoverResourcesPercent

Storage Metrics for Cluster Compute Resources
Storage metrics provide information about storage use.
Metric

Description

Storage|Total Usage

Total throughput rate in kilobytes per second.
Key: storage|usage_average

Disk Space Metrics for Cluster Compute Resources
Disk space metrics provide information about disk space use.

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Metric

Description

Diskspace|Virtual machine used (GB)

Space used by virtual machine files in gigabytes.
Key: diskspace|used

Diskspace|Total disk space used

Total disk space used on all datastores visible to this object.
Key: diskspace|total_usage

Diskspace|Total disk space

Total disk space on all datastores visible to this object.
Key: diskspace|total_capacity

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Metric

Description

Diskspace|Total provisioned disk space

Total provisioned disk space on all datastores visible to this object.
Key: diskspace|total_provisioned

Diskspace|Virtual Disk Used (GB)

Space used by virtual disks in gigabytes.
Key: diskspace|diskused

Diskspace|Snapshot Space (GB)

Space used by snapshots in gigabytes.
Key: diskspace|snapshot

Diskspace|Shared Used (GB)

Shared used space in gigabytes.
Key: diskspace|shared

Diskspace|Not Shared (GB)

Space used by VMs that is not shared.
Key: diskspace|notshared

CPU Usage Metrics for Cluster Compute Resources
CPU usage metrics provide information about CPU use.
Metric

Description

CPU|Capacity Usage

This metric shows the percentage of the capacity used.
Key: cpu|capacity_usagepct_average

* CPU|CPU Contention (%)

This metric is an indicator of the overall contention for CPU
resources that occurs across the workloads in the cluster. When
contention occurs, it means that some of the virtual machines are
not immediately getting the CPU resources they are requesting.
Use this metric to identify when a lack of CPU resources might be
causing performance issues in the cluster.
This metric is the sum of the CPU contention across all hosts in the
cluster averaged over two times the number of physical CPUs in the
cluster to account for hyper-threading. CPU contention takes into
account:
n CPU Ready
n CPU Co-stop
n Power management
n Hyper threading
This metric is more accurate than CPU Ready since it takes into
account CPU Co-stop and Hyper threading.
When using this metric, the number should be lower than the
performance you expect. If you expect performance at 10%, then the
number should be lower than 10%.
Since this value is averaged across all hosts in the cluster, you may
find that some hosts have a higher CPU contention while others are
lower. In order to ensure that vSphere spreads out the running
workloads across hosts, consider enabling a fully-automated DRS in
the cluster.
Key: cpu|capacity_contentionPct

* CPU|Demand (%)

This metric is an indicator of the overall demand for CPU resources
by the workloads in the cluster.
It shows the percentage of CPU resources that all the virtual
machines would use if there were no CPU contention or CPU limits
set. It represents the average active CPU load in the past five
minutes.
Key: cpu|demandPct

CPU|Demand (MHz)

Demand in megahertz.
Key: cpu|demandmhz

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Metric

Description

CPU|IO Wait

IO wait time in milliseconds.
Key: cpu|iowait

CPU|Number of CPU Sockets

Number of CPU sockets.
Key: cpu|numpackages

CPU|Overall CPU Contention

Overall CPU contention in milliseconds.
Key: cpu|capacity_contention

CPU|Host Provisioned Capacity

Provisioned CPU capacity in megahertz.
Key: cpu|capacity_provisioned

CPU|Provisioned vCPUs

Number of provisioned CPU cores.
Key: cpu|corecount_provisioned

CPU|Reserved Capacity

The sum of the reservation properties of the (immediate) children of
the host's root resource pool in megahertz.
Key: cpu|reservedCapacity_average

CPU|Wait

CPU time spent on idle state in milliseconds.
Key: cpu|wait

CPU|Usage (MHz)

Average CPU use in megahertz.
Key: cpu|usagemhz_average

CPU|Total Capacity

Total CPU capacity in megahertz.
Key: cpu|totalCapacity _average

CPU|Demand

CPU Demand.
Key: cpu|demand_average

CPU|Overhead

Amount of CPU overhead.
Key: cpu|overhead_average

CPU|Demand without overhead

Value of demand excluding any overhead.
Key: cpu|demand_without_overhead

CPU|Provisioned Capacity

Provisioned Capacity (MHz).
Key: cpu|vm_capacity_provisioned

CPU|Number of hosts stressed

Number of hosts stressed.
Key: cpu|num_hosts_stressed

CPU|Stress Balance Factor

Stress Balance Factor.
Key: cpu|stress_balance_factor

CPU|Lowest Provider Capacity Remaining

Lowest Provider Capacity Remaining.
Key: cpu|min_host_capacity_remaining

CPU|Workload Balance Factor

Workload Balance Factor.
Key: cpu|workload_balance_factor

CPU|Highest Provider Workload

Highest Provider Workload.
Key: cpu|max_host_workload

CPU|Host workload Max-Min Disparity

Difference of Max and Min host workload in the container.
Key: cpu|host_workload_disparity

CPU|Host stress Max-Min Disparity

Difference of Max and Min host stress in the container.
Key: cpu|host_stress_disparity

Disk Metrics for Cluster Compute Resources
Disk metrics provide information about disk use.

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Metric

Description

Disk|Commands per second

Average number of commands issued per second during the
collection interval.
Key: disk|commandsAveraged_average

Disk|Disk Command Latency (ms)

Average amount of time taken for a command from the
perspective of the guest operating system. This metric is the sum
of the Kernel Command Latency and Physical Device Command
Latency metrics.
Key: disk|totalLatency_average

Disk|Disk Read Latency

Average amount of time for a read operation from the virtual
disk. The total latency is the sum of Kernel latency and device
latency.
Key: disk|totalReadLatency_average

Disk|Disk Write Latency

The average amount of time taken for a read from the perspective
of a Guest OS. This is the sum of Kernel Read Latency and
Physical Device Read Latency.
Key: disk|totalWriteLatency_averag

Disk|Read Rate (KBps)

Number of times data was read from the disk in the defined
interval.
Key: disk|numberRead_summation

Disk|Reads per second

Average number of read commands issued per second during the
collection interval.
Key: disk|numberReadAveraged_averag

Disk|Usage Rate (KBps)

Average of the sum of the data read and written for all of the disk
instances of the host or virtual machine.
Key: disk|usage_average

Disk|Write Rate (KBps)

Number of times data was written to disk during the collection
interval.
Key: disk|numberWrite_summation

Disk|Writes per second

Average number of write commands issued per second during
the collection interval.
Key: disk|numberWriteAveraged_average

Disk|Read Requests

Amount of data read from the disk during the collection interval.
Key: disk|read_average

Disk|Write Requests

Amount of data written to the disk during the collection interval.
Key: disk|write_average

Disk|Commands Issued

Number of disk commands issued during the collection interval.
Key: disk|commands_summation

Disk|Total Queued Outstanding operations

Sum of queued operation and outstanding operations.
Key: disk|sum_queued_oio

Disk|Max Observed OIO

Max observed outstanding IO for a disk.
Key: disk|max_observed

Memory Metrics for Cluster Compute Resources
Memory metrics provide information about memory use and allocation.

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Metric

Description

Mem|Active Write (KB)

Active writes in kilobytes.
Key: mem|activewrite_average

Mem|Compressed (KB)

Average compression in kilobytes.
Key: mem|compressed_average

Mem|Compression Rate (KBps)

Average compression rate in kilobytes.
Key: mem|compressionRate_average

Mem|Consumed (KB)

Amount of host memory consumed by the virtual machine for
guest memory.
Key: mem|consumed_average

* Mem|Contention (%)

This metric is an indicator of the overall contention for memory
resources that occurs across the workloads in the cluster. When
contention occurs, it means that some portion of the VMs are not
immediately getting the memory resources that they are
requesting.
Use this metric to identify when lack of memory resources might
be causing performance issues in the cluster.
Key: mem|host_contentionPct

Mem|Contention (KB)

Contention in kilobytes.
Key: mem|host_contention

Mem|Decompression Rate (KBps

Decompression rate in kilobytes.
Key: mem|decompressionRate_average

Mem|Granted (KB)

Amount of memory available for use.
Key: mem|granted_average

Mem|Guest Active (KB)

Amount of memory that is actively used.
Key: mem|active_average

Mem|Heap (KB)

Amount of memory allocated for heap.
Key: mem|heap_average

Mem|Heap Free (KB)

Free space in the heap.
Key: mem|heapfree_average

* Mem|Balloon

This metric shows the amount of memory currently used by the
virtual machine memory control. It is only defined at the VM
level.
Key: mem|vmmemctl_average

Mem|VM Overhead (KB)

Memory overhead reported by host.
Key: mem|overhead_average

Mem|Provisioned Memory (KB)

Provisioned memory in kilobytes.
Key: mem|host_provisioned

Mem|Reserved Capacity (KB)

Reserved capacity in kilobytes.
Key: mem|reservedCapacity_average

Mem|Shared (KB)

Amount of shared memory.
Key: mem|shared_average

Mem|Shared Common (KB)

Amount of shared common memory.
Key: mem|sharedcommon_average

Mem|Swap In (KB)

Amount of memory that is swapped in for the service console.
Key: mem|swapin_average

Mem|Swap In Rate (KBps)

Rate at which memory is swapped from disk into active memory
during the interval.
Key: mem|swapinRate_average

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Metric

Description

Mem|Swap Out (KB)

Amount of memory that is swapped out for the service console.
Key: mem|swapout_average

Mem|Swap Out Rate (KBps)

Rate at which memory is being swapped from active memory
into disk during the current interval.
Key: mem|swapoutRate_average

Mem|Swap Used (KB)

Amount of memory used for swap space.
Key: mem|swapused_average

Mem|Total Capacity (KB)

Total capacity in kilobytes.
Key: mem|totalCapacity_average

Mem|Reserved (KB)

Amount of unreserved memory.
Key: mem|unreserved_average

Mem|Usable Memory (KB)

Usable memory in kilobytes.
Key: mem|host_usable

Mem|Usage/Usable

Percent memory used.
Key: mem|host_usagePct

Mem|Host Usage (KB)

Memory use in kilobytes.
Key: mem|host_usage

Mem|Machine Demand

Memory Machine Demand in KB.
Key: mem|host_demand

Mem|ESX System Usage

Memory usage by the VMkernel and ESX user-level services.
Key: mem|host_systemUsage

* Mem|Usage (%)

This metric shows the portion of the total memory in all hosts in
the cluster that is being used.
This metric is the sum of memory consumed across all hosts in
the cluster divided by the sum of physical memory across all
hosts in the cluster.
∑ memory consumed on all hosts
--------------------------------------------- X 100%
∑ physical memory on all hosts

Mem|Usage (KB)

Memory currently in use as a percentage of total available
memory.
Key: mem|usage_average

Mem|VM kernel Usage (KB)

Amount of memory that the VM kernel uses.
Key: mem|sysUsage_average

Mem|Zero (KB)

Amount of memory that is all 0.
Key: mem|zero_average

Mem|Number of Hosts Stressed

Number of hosts stressed.
Key: mem|num_hosts_stressed

Mem|Stress Balance Factor

Stress balance factor.
Key: mem|stress_balance_factor

Mem|Lowest Provider Capacity Remaining

Lowest provider capacity remaining.
Key: mem|min_host_capacity_remaining

Mem|Workload Balance Factor

Workload balance factor.
Key: mem|workload_balance_factor

Mem|Highest Provider Workload

Highest provider workload.
Key: mem|max_host_workload

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Metric

Description

Mem|Host workload Max-Min Disparity

Difference of Max and Min host workload in the container.
Key: mem|host_workload_disparity

Mem|Host stress Max-Min Disparity

Difference of Max and Min host stress in the container.
Key: mem|host_stress_disparity

Network Metrics for Cluster Compute Resources
Network metrics provide information about network performance.
Metric

Description

Net|Data Receive Rate (KBps)

Average amount of data received per second.
Key: net|received_average

Net|Data Transmit Rate (KBps)

Average amount of data transmitted per second.
Key: net|transmitted_average

Net|Packets Dropped

Number of packets dropped in the performance interval.
Key: net|dropped

Net|Packets Dropped (%)

Percentage of packets dropped.
Key: net|droppedPct

Net|Packets Received

Number of packets received in the performance interval.
Key: net|packetsRx_summation

Net|Packets Transmitted

Number of packets transmitted in the performance interval.
Key: net|packetsTx_summation

Net|Received Packets Dropped

Number of received packets dropped in the performance interval.
Key: net|droppedRx_summation

Net|Transmitted Packets Dropped

Number of transmitted packets dropped in the performance interval.
Key: net|droppedTx_summation

Net|Usage Rate (KBps)

The sum of the data transmitted and received for all the NIC instances
of the host or virtual machine.
Key: net|usage_average

Net|Max Observed Throughput

Max observed rate of network throughput.
Key: net|maxObservedKBps

Net|Max Observed Transmitted Throughput

Max observed transmitted rate of network throughput.
Key: net|maxObserved_Tx_KBps

Net|Max Observed Received Throughput

Max observed received rate of network throughput.
Key: net|maxObserved_Rx_KBps

Datastore Metrics for Cluster Compute Resources
Datastore metrics provide information about Datastore use.

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Metric

Description

Datastore|Max Observed Reads per second

Max observed average number of read commands issued
per second during the collection interval.
Key: datastore|maxObserved_NumberRead

Datastore|Max Observed Read Rate

Max observed rate of reading data from the datastore.
Key: datastore|maxObserved_Read

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Metric

Description

Datastore|Max Observed Writes per second

Max observed average number of write commands issued
per second during the collection interval.
Key: datastore|maxObserved_NumberWrite

Datastore|Max Observed Write Rate

Max observed rate of writing data from the datastore.
Key: datastore|maxObserved_Write

Datastore|Max Observed Number of Outstanding IO
Operations

Max Observed Number of Outstanding IO Operations.
Key: datastore|maxObserved_OIO

Datastore|Outstanding IO requests

OIO for datastore.
Key: datastore|demand_oio

Datastore|Reads per second

Average number of read commands issued per second
during the collection interval.
Key: datastore|numberReadAveraged_average

Datastore|Writes per second

Average number of write commands issued per second
during the collection interval.
Key: datastore|numberWriteAveraged_average

Datastore|Read Rate

Amount of data read in the performance interval.
Key: datastore|read_average

Datastore|Write Rate

Amount of data written to disk in the performance
interval.
Key: datastore|write_average

Cluster Services Metrics for Cluster Compute Resources
Cluster Services metrics provide information about cluster services.
Metric

Description

ClusterServices|Effective CPU Resources (MHz)

VMware DRS effective CPU resources available.
Key: clusterServices|effectivecpu_average

ClusterServices|Effective Memory Resources (KB)

VMware DRS effective memory resources available.
Key: clusterServices|effectivemem_average

Power Metrics for Cluster Compute Resources
Power metrics provide information about power use.
Metric

Description

Power|Energy (Joule)

Energy use in joules.
Key: power|energy_summation

Power|Power (Watt)

Average power use in watts.
Key: power|power_average

Power|Power Cap (Watt)

Average power capacity in watts.
Key: power|powerCap_average

Summary Metrics for Cluster Compute Resources
Summary metrics provide information about overall performance.

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Metric

Description

Summary|Number of Running Hosts

Number of running hosts.
Key: summary|number_running_hosts

* Summary|Number of Running VMs

This metric shows the total number of VMs running
on all hosts in the cluster.
Key: summary|number_running_vms

* Summary|Number of vMotions

This metric shows the number of vMotions that
occurred during the last collection cycle.
When using this metric, look for a low number which
indicates that the cluster is able to serve its VMs. A
vMotion can impact VM performance during the stun
time.
Key: summary|number_vmotion

Summary|Total Number of Hosts

Total number of hosts.
Key: summary|total_number_hosts

Summary|Total Number of VMs

Total number of virtual machines.
Key: summary|total_number_vms

Summary|Maximum Number of VMs

Maximum Number of virtual machines.
Key: summary|max_number_vms

Summary|Workload Indicator

Percent workload indicator.
Key: summary|workload_indicator

Summary|Total Number of Datastores

Total number of datastores.
Key: summary|total_number_datastores

Summary|Number of VCPUs on Powered On VMs

Number of virtual CPUs on powered-on virtual
machines.
Key: summary|number_running_vcpus

Summary|Average Running VM Count per Running Host

Average number of running virtual machines per
running host.
Key: summary|avg_vm_density

Summary|Average Provisioned Capacity (MHz) per Running
VM

Average provisioned capacity, in megahertz, per
running virtual machine.
Key: summary|avg_vm_cpu

Summary|Average Provisioned Memory (KB) per Running VM

Average provisioned memory, in kilobytes. per
running virtual machine.
Key: summary|avg_vm_mem

Resource Pool Metrics
vRealize Operations Manager collects configuration, CPU usage, memory, and summary metrics for
resource pool objects.
Resource Pool metrics include capacity and badge metrics. See definitions in:
n

“Capacity and Project-Based Metrics,” on page 77

n

“Badge Metrics,” on page 80

Configuration Metrics for Resource Pools
Configuration metrics provide information about memory and CPU allocation configuration.

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Table 1‑14. Configuration Metrics for Resource Pools
Metric Key

Metric Name

Description

config|mem_alloc_reservation

Memory Allocation Reservation

Memory Allocation Reservation.

CPU Usage Metrics for Resource Pools
CPU usage metrics provide information about CPU use.
Table 1‑15. CPU Usage Metrics for Resource Pools
Metric Key

Metric Name

Description

cpu|capacity_demandEntitlementPct

Capacity Demand Entitlement (%)

CPU Capacity Demand Entitlement
Percentage.

cpu|capacity_entitlement

Capacity entitlement (MHz)

CPU Capacity Entitlement.

cpu|capacity_contentionPct

CPU Contention (%)

CPU capacity contention.

cpu|demandmhz

Demand (MHz)

CPU demand in megahertz.

cpu|capacity_contention

Overall CPU Contention (ms)

Overall CPU contention in
milliseconds.

cpu|usagemhz_average

Usage

Average CPU use in megahertz.

cpu|effective_limit

Effective limit

CPU effective limit.

cpu|reservation_used

Reservation Used

CPU reservation used.

cpu|estimated_entitlement

Estimated entitlement

CPU estimated entitlement.

cpu|dynamic_entitlement

Dynamic entitlement

CPU dynamic entitlement.

cpu|demand_without_overhead

Demand without overhead

Value of demand excluding any
overhead

Memory Metrics for Resource Pools
Memory metrics provide information about memory use and allocation.
Table 1‑16. Memory Metrics for Resource Pools
Metric Key

Metric Name

Description

mem|vmmemctl_average

Balloon (KB)

Amount of memory currently used by
the virtual machine memory control.

mem|compressionRate_average

Compression Rate (KBps)

Compression rate in kilobytes per
second.

mem|consumed_average

Consumed (KB)

Amount of host memory consumed by
the virtual machine for guest memory.

mem|host_contentionPct

Contention (%)

Macine contention percentage.

mem|guest_usage

Guest usage

Guest memory entitlement.

mem|guest_demand

Guest demand

Guest memory entitlement.

mem|host_contention

Contention (KB)

Machine contention in kilobytes.

mem|decompressionRate_average

Decompression Rate (KBps)

Decompression rate in kilobytes per
second.

mem|granted_average

Granted (KB)

Average of memory available for use.

mem|active_average

Guest Active (KB)

Amount of memory that is actively
used.

mem|overhead_average

VM Overhead (KB)

Memory overhead reported by host.

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Table 1‑16. Memory Metrics for Resource Pools (Continued)
Metric Key

Metric Name

Description

mem|shared_average

Shared (KB)

Amount of shared memory.

mem|reservation_used

Reservation Used

Memory Reservation Used.

mem|dynamic_entitlement

Dynamic Entitlement

Memory Dynamic Entitlement.

mem|effective_limit

Effective Limit

Memory Effective Limit.

mem|swapinRate_average

swapinRate_average

Rate at which memory is swapped
from disk into active memory during
the interval.

mem|swapoutRate_average

swapoutRate_average

Rate at which memory is being
swapped from active memory to disk
during the current interval.

mem|swapped_average

Swapped (KB)

Amount of unreserved memory.

mem|usage_average

Usage (%)

Memory currently in use as a
percentage of total available memory.

mem|zero_average

Zero (KB)

Amount of memory that is all zero.

mem|zipped_latest

Zipped (KB)

Latest zipped memory in kilobytes.

mem|swapin_average

Swap In (KB)

Amount of memory swapped in
kilobytes.

mem|swapout_average

Swap Out (KB)

Amount of memory swapped out in
kilobytes.

mem|swapused_average

Swap Used (KB)

Amount of memory used for swap
space in kilobytes.

mem|guest_provisioned

Guest Configured Memory (KB)

Guest configured memory in
kilobytes.

Summary Metrics for Resource Pools
Summary metrics provide information about overall performance.
Table 1‑17. Summary Metrics for Resource Pools
Metric Key

Metric Name

Description

summary|number_running_vms

Number of Running VMs

Number of running virtual machines.

summary|total_number_vms

Total Number of VMs

Total number of virtual machines.

summary|iowait

IO Wait (ms)

IO wait time in milliseconds.

Datacenter Metrics
vRealize Operations Manager collects CPU usage, disk, memory, network, storage, disk space, and
summary metrics for datacenter objects.
Datacenter metrics include capacity and badge metrics. See definitions in:
n

“Capacity and Project-Based Metrics,” on page 77

n

“Badge Metrics,” on page 80

CPU Usage Metrics for Datacenters
CPU usage metrics provide information about CPU use.

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Table 1‑18. CPU Usage Metrics for Datacenters
Metric Key

Metric Name

Description

cpu|capacity_usagepct_average

Capacity Usage (%)

Percent capacity used.

cpu|capacity_contentionPct

CPU Contention (%)

CPU capacity contention.

cpu|demandPct

Demand (%)

CPU demand percentage.

cpu|demandmhz

Demand

Demand in megahertz.

cpu|demand_average

Demand (MHz)

CPU Demand.

cpu|overhead_average

Overhead (KB)

Amount of CPU overhead.

cpu|demand_without_overhead

Demand without overhead

Value of demand excluding any
overhead.

cpu|wait

Total Wait

CPU time spent on idle state.

cpu|numpackages

Number of CPU Sockets

Number of CPU sockets.

cpu|capacity_contention

Overall CPU Contention (ms)

Overall CPU contention in milliseconds.

cpu|capacity_provisioned

Host Provisioned Capacity (MHz)

Host provisioned capacity in megahertz.

cpu|corecount_provisioned

Provisioned vCPU(s)

Provisioned vCPU(s).

cpu|reservedCapacity_average

Reserved Capacity (MHz)

The sum of the reservation properties of
the (immediate) children of the host's
root resource pool.

cpu|usagemhz_average

Usage

Average CPU usage in megahertz.

cpu|iowait

IO Wait

IO wait time in milliseconds.

cpu|vm_capacity_provisioned

Provisioned Capacity

Provisioned Capacity.

cpu|stress_balance_factor

Stress Balance Factor

Stress Balance Factor.

cpu|min_host_capacity_remaining

Lowest Provider Capacity
Remaining

Lowest Provider Capacity Remaining.

cpu|workload_balance_factor

Workload Balance Factor

Workload Balance Factor.

cpu|max_host_workload

Highest Provider Workload

Highest Provider Workload.

cpu|host_workload_disparity

Host workload Max-Min Disparity

Difference of Max and Min host
workload in the container.

cpu|host_stress_disparity

Host stress Max-Min Disparity

Difference of Max and Min host stress in
the container.

Disk Metrics for Datacenters
Disk metrics provide information about disk use.
Table 1‑19. Disk Metrics for Datacenters
Metric Key

Metric Name

Description

disk|commandsAveraged_average

Commands per second

Average number of commands issued
per second during the collection
interval.

disk|totalLatency_average

Disk Command Latency (ms)

Average amount of time taken for a
command from the perspective of the
guest operating system. This metric is
the sum of the Kernel Disk Command
Latency and Physical Device Command
Latency metrics.

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Table 1‑19. Disk Metrics for Datacenters (Continued)
Metric Key

Metric Name

Description

disk|usage_average

Usage Rate (KBps)

Average of the sum of the data read and
written for all of the disk instances of
the host or virtual machine.

disk|sum_queued_oio

Total queued outstanding operations

Sum of queued operations and
outstanding operations.

disk|max_observed

Max observed OIO

Max observed IO for a disk.

Memory Metrics for Datacenters
Memory metrics provide information about memory use and allocation.
Table 1‑20. Memory Metrics for Datacenters
Metric Key

Metric Name

Description

mem|host_contentionPct

Contention (%)

Machine Contention Percentage.

mem|host_demand

Machine Demand (KB)

Memory machine demand in kilobytes.

mem|host_systemUsage

ESX System Usage

Memory usage by the VM kernel and
ESX user-level services.

mem|host_provisioned

Provisioned Memory (KB)

Provisioned host memory in kilobytes.

mem|reservedCapacity_average

Reserved Capacity (KB)

Reserved memory capacity in kilobytes.

mem|host_usable

Usable Memory (KB)

Usable host memory in kilobytes.

mem|host_usage

Host Usage

Host memory use in kilobytes.

mem|host_usagePct

Usage/Usable (%)

Percent host memory used.

mem|overhead_average

VM Overhead

Memory overhead reported by host.

mem|stress_balance_factor

Stress Balance Factor

Stress Balance Factor.

mem|min_host_capacity_remaining

Lowest Provider Capacity
Remaining

Lowest Provider Capacity Remaining.

mem|workload_balance_factor

Workload Balance Factor

Workload Balance Factor.

mem|max_host_workload

Highest Provider Workload

Highest Provider Workload.

mem|host_workload_disparity

Host workload Max-Min Disparity

Difference of Max and Min host
workload in the container.

mem|host_stress_disparity

Host stress Max-Min Disparity

Difference of Max and Min host stress
in the container.

Network Metrics for Datacenters
Network metrics provide information about network performance.
Table 1‑21. Network Metrics for Datacenters

62

Metric Key

Metric Name

Description

net|droppedPct

Packets Dropped

Percentage of packets dropped.

net|maxObservedKBps

Max Observed Throughput

Max observed rate of network
throughput.

net|maxObserved_Tx_KBps

Max Observed Transmitted
Throughput

Max observed transmitted rate of
network throughput.

net|maxObserved_Rx_KBps

Max Observed Received Throughput

Max observed received rate of network
throughput.

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Table 1‑21. Network Metrics for Datacenters (Continued)
Metric Key

Metric Name

Description

net|transmitted_average

Data Transmit Rate

Average amount of data transmitted
per second.

net|received_average

Data Receive Rate

Average amount of data received per
second.

net|usage_average

Usage Rate (KBps)

The sum of the data transmitted and
received for all the NIC instances of the
host or virtual machine.

Storage Metrics for Datacenters
Storage metrics provide information about storage use.
Table 1‑22. Storage Metrics for Datacenters
Metric Key

Metric Name

Description

storage|usage_average

Total Usage

Total throughput rate.

Datastore Metrics for Datacenters
Datastore metrics provide information about Datastore use.
Table 1‑23. Datastore Metrics for Datacenters
Metric Key

Metric Name

Description

datastore|maxObserved_NumberRead

Max Observed Reads per second

Max observed average number of
read commands issued per second
during the collection interval.

datastore|maxObserved_Read

Max Observed Read Rate

Max observed rate of reading data
from the datastore.

datastore|maxObserved_NumberWrite

Max Observed Writes per second

Max observed average number of
write commands issued per second
during the collection interval.

datastore|maxObserved_Write

Max Observed Write Rate

Max observed rate of writing data
from the datastore.

datastore|maxObserved_OIO

Max Observed Number of
Outstanding IO Operations

Max Observed Number of
Outstanding IO Operations.

datastore|demand_oio

Outstanding IO requests

OIO for datastore.

datastore|
numberReadAveraged_average

Reads per second

Average number of read commands
issued per second during the
collection interval.

datastore|
numberWriteAveraged_average

Writes per second

Average number of write commands
issued per second during the
collection interval.

datastore|read_average

Read Rate

Amount of data read in the
performance interval.

datastore|write_average

Write Rate

Amount of data written to disk in the
performance interval.

Disk Space Metrics for Datacenters
Disk space metrics provide information about disk use.

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Table 1‑24. Disk Space Metrics for Datacenters
Metric Key

Metric Name

Description

diskspace|used

Virtual machine used

Used virtual machine disk space in
gigabytes.

diskspace|total_usage

Total disk space used

Total disk space used on all datastores
visible to this object.

diskspace|total_capacity

Total disk space

Total disk space on all datastores
visible to this object.

diskspace|total_provisioned

Total provisioned disk space

Total provisioned disk space on all
datastores visible to this object.

diskspace|notshared

Not Shared (GB)

Unshared disk space in gigabytes.

diskspace|shared

Shared Used (GB)

Shared disk space in gigabytes.

diskspace|snapshot

Snapshot Space (GB)

Snapshot disk space in gigabytes.

diskspace|diskused

Virtual Disk Used (GB)

Used virtual disk space in gigabytes.

diskspace|numvmdisk

Number of Virtual Disks

Number of Virtual Disks.

Summary Metrics for Datacenters
Summary metrics provide information about overall performance.
Table 1‑25. Summary Metrics for Datacenters
Metric Key

Metric Name

Description

summary|number_running_hosts

Number of Running Hosts

Number of hosts that are ON.

summary|number_running_vms

Number of Running VMs

Number of running virtual machines.

summary|max_number_vms

Maximum Number of VMs

Maximum number of virtual
machines.

summary|total_number_clusters

Total Number of Clusters

Total number of clusters.

summary|total_number_hosts

Total Number of Hosts

Total number of hosts.

summary|total_number_vms

Total Number of VMs

Total number of virtual machines.

summary|total_number_datastores

Total Number of Datastores

Total number of datastores.

summary|number_running_vcpus

Number of VCPUs on Powered On
VMs

Total number of VCPUs of virtual
machines that are powered on.

summary|workload_indicator

Workload Indicator

Workload indicator.

summary|avg_vm_density

Average Running VM Count per
Running Host

Average number of running virtual
machines per running host.

Custom Datacenter Metrics
vRealize Operations Manager collects CPU usage, memory, summary, network, and datastore metrics for
custom datacenter objects.
Custom datacenter metrics include capacity and badge metrics. See definitions in:
n

“Capacity and Project-Based Metrics,” on page 77

n

“Badge Metrics,” on page 80

CPU Usage Metrics for Custom Datacenters
CPU usage metrics provide information about CPU use.

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Table 1‑26. CPU Usage Metrics for Custom Datacenters
Metric Key

Metric Name

Description

cpu|capacity_provisioned

Host Provisioned Capacity

Host provisioned capacity (MHz).

cpu|corecount_provisioned

Provisioned vCPU(s)

Provisioned vCPU(s).

cpu|demand_without_overhead

Demand without overhead

Value of demand excluding any
overhead.

cpu|num_hosts_stressed

Number of hosts stressed

Number of hosts stressed.

cpu|stress_balance_factor

Stress Balance Factor

Stress balance factor.

cpu|min_host_capacity_remaining

Lowest Provider Capacity
Remaining

Lowest provider capacity remaining.

cpu|workload_balance_factor

Workload Balance Factor

Workload balance factor.

cpu|max_host_workload

Highest Provider Workload

Highest provider workload.

cpu|host_workload_disparity

Host workload Max-Min Disparity

Host workload max-min disparity.

cpu|host_stress_disparity

Host stress Max-Min Disparity

Difference of max and min host stress in
the container.

Memory Metrics for Custom Datacenters
Memory metrics provide information about memory use.
Table 1‑27. Memory Metrics for Custom Datacenters
Metric Key

Metric Name

Description

mem|host_usable

Usable Memory

Usable memory.

mem|host_demand

Machine Demand

Memory machine demand in KB.

mem|num_hosts_stressed

Number of hosts stressed

Number of hosts stressed.

mem|stress_balance_factor

Stress Balance Factor

Stress balance factor.

mem|min_host_capacity_remaining

Lowest Provider Capacity
Remaining

Lowest provider capacity remaining.

mem|workload_balance_factor

Workload Balance Factor

Workload balance factor.

mem|max_host_workload

Highest Provider Workload

Highest provider workload.

mem|host_workload_disparity

Host workload Max-Min Disparity

Host workload max-min disparity.

mem|host_stress_disparity

Host stress max-min disparity.

Summary Metrics for Custom Datacenters
Summary metrics provide information about overall performance.
Table 1‑28. Summary Metrics for Custom Datacenters
Metric Key

Metric Name

Description

summary|number_running_vms

Number of Running VMs

Number of virtual machines that are
ON.

summary|max_number_vms

Maximum Number of VMs

Maximum number of virtual machines.

summary|status

Status

Status of datacenter.

Network Metrics for Custom Datacenters
Network metrics provide information about network performance.

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Table 1‑29. Network Metrics for Custom Datacenters
Metric Key

Metric Name

Description

net|usage_average

Usage Rate

The sum of the data transmitted and
received for all the NIC instances of the
host or virtual machine.

net|maxObserved_KBps

Max Observed Throughput

Max observed rate of network
throughput.

net|maxObserved_Tx_KBps

Max Observed Transmitted
Throughput

Max observed transmitted rate of
network throughput.

net|maxObserved_Rx_KBps

Max Observed Received
Throughput

Max observed received rate of network
throughput.

net|transmitted_average

Data Transmit Rate

Average amount of data transmitted per
second.

net|received_average

Data REceive Rate

Average amount of data received per
second.

Datastore Metrics for Custom Datacenters
Datastore metrics provide information about datastore use.
Table 1‑30. Datastore Metrics for Custom Datacenters
Metric Key

Metric Name

Description

datastore|maxObserved_NumberRead

Max Observed Reads per second

Max observed average number of read
commands issued per second during the
collection interval.

datastore|maxObserved_Read

Max Observed Read Rate

Max observed rate of reading data from
the datastore.

datastore|maxObserved_NumberWrite

Max Observed Writes per second

Max observed average number of write
commands issued per second during the
collection interval.

datastore|maxObserved_Write

Max Observed Write Rate

Max observed rate of writing data from
the datastore.

datastore|maxObserved_OIO

Max Observed Number of
Outstanding IO Operations

Max observer number of outstanding IO
operations.

datastore|demand_oio

Outstanding IO requests

OIO for datastore.

datastore|
numberReadAveraged_average

Reads per second

Average number of read commands
issued per second during the collection
interval.

datastore|
numberWriteAveraged_average

Writes per second

Average number of write commands
issued per second during the collection
interval.

datastore|read_average

Read rate

Amount of data read in the performance
interval.

datastore|write_average

Write rate

Amount of data written to disk in the
performance interval.

Storage Pod Metrics
vRealize Operations Manager collects datastore and disk space metrics for storage pod objects.
Storage Pod metrics include capacity and badge metrics. See definitions in:
n

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n

“Badge Metrics,” on page 80

Table 1‑31. Datastore Metrics for Storage Pods
Metric Key

Metric Name

Description

datastore|
numberReadAveraged_average

Reads per second

Average number of read commands issued
per second during the collection interval.

datastore|
numberWriteAveraged_average

Writes per second

Average number of write commands issued
per second during the collection interval.

datastore|read_average

Read Rate

Amount of data read in the performance
interval.

datastore|write_average

Write Rate

Amount of data written to disk in the
performance interval.

datastore|usage_average

Usage Average

Usage Average.

datastore|
totalReadLatency_average

Read Latency

Average amount of time for a read operation
from the datastore. Total latency = kernel
latency + device latency.

datastore|
totalWriteLatency_average

Write Latency

Average amount of time for a write operation
to the datastore. Total latency = kernel latency
+ device latency.

datastore|totalLatency_average

Disk Command Latency

The average amount of time taken for a
command from the perspective of a Guest OS.
This is the sum of Kernel Command Latency
and Physical Device Command Latency.

datastore|
commandsAveraged_average

Commands per second

Average number of commands issued per
second during the collection interval.

Table 1‑32. Diskspace Metrics for Storage Pods
Metric Key

Metric Name

Description

diskspace|disktotal

Total used

Total space used.

diskspace|freespace

Freespace

Unused space available on datastore.

diskspace|capacity

Capacity

Total capacity of datastore.

diskspace|used

Virtual Machine used

Space used by virtual machine files.

diskspace|snapshot

Snapshot Space

Space used by snapshots.

VMware Distributed Virtual Switch Metrics
vRealize Operations Manager collects network and summary metrics for VMware distributed virtual switch
objects.
VMware Distributed Virtual Switch metrics include capacity and badge metrics. See definitions in:
n

“Capacity and Project-Based Metrics,” on page 77

n

“Badge Metrics,” on page 80

Table 1‑33. Network Metrics for VMware Distributed Virtual Switches
Metric Key

Metric Name

Description

network|port_statistics|
rx_bytes

Total Ingress Traffic

Total ingress traffic (KBps).

network|port_statistics|
tx_bytes

Total Egress Traffic

Total egress traffic (KBps).

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Table 1‑33. Network Metrics for VMware Distributed Virtual Switches (Continued)
Metric Key

Metric Name

Description

network|port_statistics|
ucast_tx_pkts

Egress Unicast Packets per second

Egress unicast packets per second.

network|port_statistics|
mcast_tx_pkts

Egress Multicast Packets per second

Egress multicast packets per second.

network|port_statistics|
bcast_tx_pkts

Egress Broadcast Packets per second

Egress broadcast packets per second.

network|port_statistics|
ucast_rx_pkts

Ingress Unicast Packets per second

Ingress unicast packets per second.

network|port_statistics|
mcast_rx_pkts

Ingress Multicast Packets per second

Ingress multicast packets per second.

network|port_statistics|
bcast_rx_pkts

Ingress Broadcast Packets per second

Ingress broadcast packets per second.

network|port_statistics|
dropped_tx_pkts

Egress Dropped Packets per second

Egress dropped packets per second.

network|port_statistics|
dropped_rx_pkts

Ingress Dropped Packets per second

Ingress dropped packets per second.

network|port_statistics|rx_pkts

Total Ingress Packets per second

Total ingress packets per second.

network|port_statistics|tx_pkts

Total Egress Packets per second

Total egress packets per second.

network|port_statistics|
utilization

Utilization

Use (KBps).

network|port_statistics|
dropped_pkts

Total Dropped Packets per second

Total dropped packets per second.

network|port_statistics|
dropped_pkts_pct

Percentage of Dropped Packets

Percentage of dropped packets.

network|port_statistics|
maxObserved_rx_bytes

Max Observed Ingress Traffic (KBps)

Max observed ingress traffic (KBps).

network|port_statistics|
maxObserved_tx_bytes

Max Observed Egress Traffic (KBps)

Max observed egress traffic (KBps).

network|port_statistics|
maxObserved_utilization

Max Observed Utilization (KBps)

Max observed utilization (KBps).

Table 1‑34. Summary Metrics for VMware Distributed Virtual Switches
Metric Key

Metric Name

Description

summary|max_num_ports

Maximum Number of Ports

Maximum number of ports.

summary|used_num_ports

Used Number of Ports

Used number of ports.

summary|num_blocked_ports

Number of Blocked Ports

Number of blocked ports.

Table 1‑35. Host Metrics for VMware Distributed Virtual Switches

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Metric Key

Metric Name

Description

host|mtu_mismatch

MTU Mismatch

Maximum Transmission Unit (MTU) mismatch.

host|teaming_mismatch

Teaming Mismatch

Teaming mismatch.

host|mtu_unsupported

Unsupported MTU

Unsupported MTU.

host|vlans_unsupported

Unsupported VLANs

Unsupported VLANs.

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Table 1‑35. Host Metrics for VMware Distributed Virtual Switches (Continued)
Metric Key

Metric Name

Description

host|config_outofsync

Config Out Of Sync

Config Out Of Sync.

host|attached_pnics

Number of Attached pNICs

Number of attached physical NICs.

Distributed Virtual Port Group Metrics
The vCenter Adapter instance collects network and summary metrics for distributed virtual port groups.
Distributed Virtual Port Group metrics include capacity and badge metrics. See definitions in:
n

“Capacity and Project-Based Metrics,” on page 77

n

“Badge Metrics,” on page 80

Table 1‑36. Network Metrics for Distributed Virtual Port Groups
Metric Key

Metric Name

Description

network|port_statistics|
rx_bytes

Ingress Traffic

Ingress traffic (KBps).

network|port_statistics|
tx_bytes

Egress Traffic

Egress traffic (KBps).

network|port_statistics|
ucast_tx_pkts

Egress Unicast Packets per second

Egress unicast packets per second.

network|port_statistics|
mcast_tx_pkts

Egress Multicast Packets per second

Egress multicast packets per second.

network|port_statistics|
bcast_tx_pkts

Egress Broadcast Packets per second

Egress broadcast packets per second.

network|port_statistics|
ucast_rx_pkts

Ingress Unicast Packets per second

Ingress unicast packets per second.

network|port_statistics|
mcast_rx_pkts

Ingress Multicast Packets per second

Ingress multicast packets per second.

network|port_statistics|
bcast_rx_pkts

Ingress Broadcast Packets per second

Ingress broadcast packets per second.

network|port_statistics|
dropped_tx_pkts

Egress Dropped Packets per second

Egress dropped packets per second.

network|port_statistics|
dropped_rx_pkts

Ingress Dropped Packets per second

Ingress dropped packets per second.

network|port_statistics|rx_pkts

Total Ingress Packets per second

Total Ingress packets per second.

network|port_statistics|tx_pkts

Total Egress Packets per second

Total Egress packets per second.

network|port_statistics|
utilization

Utilization

Utilization (KBps).

network|port_statistics|
dropped_pkts

Total Dropped Packets per second

Total dropped packets per second.

network|port_statistics|
dropped_pkts_pct

Percentage of Dropped Packets

Percentage of dropped packets.

network|port_statistics|
maxObserved_rx_bytes

Max Observed Ingress Traffic (KBps)

Max observed ingress traffic (KBps).

network|port_statistics|
maxObserved_tx_bytes

Max Observed Egress Traffic (KBps)

Max observed egress traffic (KBps).

network|port_statistics|
maxObserved_utilization

Max Observed Utilization (KBps)

Max observed utilization (KBps).

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Table 1‑37. Summary Metrics for Distributed Virtual Port Groups
Metric Key

Metric Name

Description

summary|max_num_ports

Maximum Number of Ports

Maximum number of ports.

summary|used_num_ports

Used Number of Ports

Used number of ports.

summary|num_blocked_ports

Number of Blocked Ports

Number of blocked ports.

Datastore Metrics
vRealize Operations Manager collects capacity, device, and summary metrics for datastore objects.
Capacity metrics can be calculated for datastore objects. See “Capacity and Project-Based Metrics,” on
page 77.
Metrics marked with an asterisk (*) provide the most relevant data to use when you troubleshoot the
datastores in your environment.

Capacity Metrics for Datastores
Capacity metrics provide information about datastore capacity.

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Metric

Description

* Capacity|Available Space (GB)

This metric shows the amount of free space that a datastore has
available.
Use this metric to know how much storage space is unused on
the datastore. Try to avoid having too little free disk space in
order to accommodate unexpected storage growth on the
datastore. The exact size of the datastore is based on company
policy.
Key: capacity|available_space

Capacity|Data Store Capacity Contention

Datastore capacity contention.
Key: capacity|contention

* Capacity|Provisioned (GB)

This metric shows the amount of storage that was allocated to
the virtual machines.
Use this metric to know how much storage space is currently
being used on the datastore.
Check the metric trend to identify spikes or abnormal growth.
Key: capacity|provisioned

* Capacity|Total Capacity (GB)

This metric shows the overall size of the datastore.
Use this metric to know the total capacity of the datastore.
Typically the size of the datastore should not be too small. VMFS
datastore size has grown over the years as virtualization matures
and larger vitual machines are now onboard. Ensure the size can
handle enough virtual machines to avoid datastore sprawl. A
best practise is to use 5 TB for VMFS and more for vSAN.
Key: capacity|total_capacity

Capacity|Used Space (GB)

This metric shows the amount of storage that is being used on
the datastore.
Key: capacity|used_space

Capacity|Workload (%)

Capacity workload.
Key: capacity|workload

Capacity|Uncommitted Space (GB)

Uncommitted space in gigabytes.
Key: capacity|uncommitted

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Metric

Description

Capacity|Total Provisioned Consumer Space

Total Provisioned Consumer Space.
Key: capacity|consumer_provisioned

* Capacity|Used Space (%)

This metric shows the amount of storage that is being used on
the datastore.
Use this metric to know the percentage of storage space being
used on the datastore.
When using this metric, verify that you have at least 20% of free
storage. Less than this, and you may experience problems when
a snapshot is not deleted. If you have more than 50% free storage
space, you are not utilizing your storage in the best possible way.
Key: capacity|usedSpacePct

Device Metrics for Datastores
Device metrics provide information about device performance.
Metric

Description

Devices|Bus Resets

This metric shows the number of bus resets in the
performance interval.
Key: devices|busResets_summation

Devices|Commands Aborted

This metric shows the number of disk commands aborted
in the performance interval.
Key: devices|commandsAborted_summation

Devices|Commands Issued

This metric shows the number of disk commands issued
in the performance interval.
Key: devices|commands_summation

Devices|Disk Command Latency (ms)

This metric shows the average time taken for a command
from the perspective of a guest operating system. This
metric is the sum of Kernel Disk Command Latency and
Physical Device Command Latency metrics.
Key: devices|totalLatency_average

Devices|Disk Read Latency (ms)

This metric shows the average time taken for a read from
the perspective of a guest operating system. This metric is
the sum of the Kernel Disk Read Latency and Physical
Device Read Latency metrics.
Key: devices|totalReadLatency_averag

Devices|Disk Write Latency (ms)

This metric shows the average amount of time for a write
operation to the datastore. Total latency is the sum of
kernel latency and device latency.
Key: devices|totalWriteLatency_average

Devices|Kernel Disk Command Latency (ms)

Average time spent in ESX Server V. Kernel per command.
Key: devices|kernelLatency_average

Devices|Kernel Disk Read Latency (ms)

Average time spent in ESX host VM Kernel per read.
Key: devices|kernelReadLatency_average

Devices|Kernel Disk Write Latency (ms)

Average time spent in ESX Server VM Kernel per write.
Key: devices|kernelWriteLatency_average

Devices|Number of Running Hosts

Number of running hosts that are powered on.
Key: devices|number_running_hosts

Devices|Number of Running VMs

Number of running virtual machines that are powered on.
Key: devices|number_running_vms

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Metric

Description

Devices|Physical Device Command Latency (ms)

Average time taken to complete a command from the
physical device.
Key: devices|deviceLatency_average

Devices|Physical Device Read Latency (ms)

Average time taken to complete a read from the physical
device.
Key: devices|deviceReadLatency_average

Devices|Queue Command Latency (ms)

Average time spent in the ESX Server VM Kernel queue
per command.
Key: devices|queueLatency_average

Devices|Queue Read Latency (ms)

Average time spent in the ESX Server VM Kernel queue
per read.
Key: devices|queueReadLatency_average

Devices|Queue Write Latency (ms)

Average time spent in the ESX Server VM Kernel queue
per write.
Key: devices|queueWriteLatency_average

Devices|Read Rate (KBps)

Amount of data read in the performance interval.
Key: devices|read_average

Devices|Read Requests

Number of times data was read from the disk in the
defined interval.
Key: devices|numberRead_summation

Devices|Reads per second

Average number of read commands issued per second to
the datastore during the collection interval.
Key: devices|numberReadAveraged_average

Devices|Usage Average (KBps)

Average use in kilobytes per second.
Key: devices|usage_average

Devices|Write Rate (KBps)

Amount of data written to disk in the performance
interval.
Key: devices|write_average

Devices|Write Requests

Number of times data was written to the disk in the
defined interval.
Key: devices|numberWrite_summation

Devices|Writes per second

Average number of write commands issued per second to
the datastore during the collection interval.
Key: devices|numberWriteAveraged_average

Devices|Commands per second

Average number of commands issued per second during
the collection interval.
Key: devices|commandsAveraged_average

Devices|Physical Device Write Latency (ms)

Average time taken to complete a write from the physical
disk.
Key: devices|deviceWriteLatency_average

Datastore Metrics for Datastores
Datastore metrics provide information about datastore use.

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Metric

Description

* Datastore|Disk Command Latency (ms)

This metric shows the adjusted read and write latency
at the datastore level. Adjusted means that the latency
is taking into account the number of IOs. If your IO is
read-dominated, the combined value is influenced by
the reads.
This is the average of all the VMs running in the
datastore. Because it is an average, some VMs logically
experience higher latency that the value shown by this
metric. To see the worst latency experienced by any
VM, use the Maximum VM Disk Latency metric.
Use this metric to see the performance of the datastore.
It is one of two key performance indicators for a
datastore, the other being the Max Read Latency. The
combination of Maximum and Average gives better
insight into how well the datastore is coping with the
demand.
The number should be lower than the performance you
expect.
Key: datastore|totalLatency_average

Datastore|Usage Average (KBps)

Average use in kilobytes per second.
Key: datastore|usage_average

Datastore|Read Latency (ms

Average amount of time for a read operation from the
datastore. Total latency = kernel latency + device
latency.
Key: datastore|totalReadLatency_average

* Datastore|Write Latency (ms)

Average amount of time for a write operation to the
datastore. Total latency = kernel latency + device
latency.
Key: datastore|totalWriteLatency_average

Datastore|Demand

Demand.
Key: datastore|demand

Datastore|Demand Indicator

Demand Indicator.
Key: datastore|demand_indicator

Datastore|Max Observed Reads per Second

Maximum observed average number of read
commands issued per second during the collection
interval.
Key: datastore|maxObserved_NumberRead

Datastore|Max Observed Read Rate (KBps)

Max observed rate of reading data from the datastore.
Key: datastore|maxObserved_Read

* Datastore|Max Observed Read Latency (ms)

This metric displays the maximum observed average
amount of time for a read operation from the datastore.
Use this metric to troubleshoot when the overall
datastore latency is higher than expected. Look for a
number that matches the overall latency.
Total latency = kernel latency + device latency.
Key: datastore|maxObserved_ReadLatency

Datastore|Max Observed Writes per second

Max observed average number of write commands
issued per second during the collection interval.
Key: datastore|maxObserved_NumberWrite

Datastore|Max Observed Write Rate (KBps)

Max observed rate of writing data from the datastore.
Key: datastore|maxObserved_Write

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Metric

Description

Datastore|Max Observed Write Latency (ms)

This metric displays the maximum observed average
amount of time for a write operation from the
datastore.
Use this metric to troubleshoot when the overall
datastore latency is higher than expected. Look for a
number that matches the overall latency.
Total latency = kernel latency + device latency.
Key: datastore|maxObserved_WriteLatency

Datastore|Max Observed Number of Outstanding IO
Operations

Maximum observed number of outstanding IO
operations.
Key: datastore|maxObserved_OIO

Datastore|Outstanding IO requests

OIO for datastore.
Key: datastore|demand_oio

* Datastore|Reads per second (IOPS)

This metric displays the average number of read
commands issued per second during the collection
interval.
Use this metric when the total IOPS is higher than
expected. Drill down to see if the metric is read or write
dominated. This helps determine the cause of the high
IOPS. Certain workloads such as backups, anti-virus
scans, and Windows updates carry a Read/Write
pattern. For example, an anti-virus scan is heavy on
read since it is mostly reading the file system.
Key: datastore|numberReadAveraged_average

* Datastore|Writes per second (IOPS)

This metric displays the average number of write
commands issued per second during the collection
interval.
Use this metric when the total IOPS is higher than
expected. Drill down to see if the metric is read or write
dominated. This helps determine the cause of the high
IOPS. Certain workloads such as backups, anti-virus
scans, and Windows updates carry a Read/Write
pattern. For example, an anti-virus scan is heavy on
read since it is mostly reading the file system.
Key: datastore|numberWriteAveraged_average

Datastore|Read rate

This metric displays the amount of data read in the
performance interval.
Key: datastore|read_average

Datastore|Write rate

This metric displays the amount of data written to disk
in the performance interval.
Key: datastore|write_average

About Datastore Metrics for Virtual SAN
The metric named datastore|oio|workload is not supported on Virtual SAN datastores. This metric
depends on datastore|demand_oio, which is supported for Virtual SAN datastores.
The metric named datastore|demand_oio also depends on several other metrics for Virtual SAN datastores,
one of which is not supported.
n

The metrics named devices|numberReadAveraged_average and devices|numberWriteAveraged_average
are supported.

n

The metric named devices|totalLatency_average is not supported.

As a result, vRealize Operations Manager does not collect the metric named datastore|oio|workload for
Virtual SAN datastores.

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Disk Space Metrics for Datastores
Disk space metrics provide information about disk space use.
Metric

Description

Diskspace|Not Shared (GB)

Unshared space in gigabytes.
Key: diskspace|notshared

Diskspace|Number of Virtual Disk

Number of virtual disks.
Key: diskspace|numvmdisk

Diskspace|Provisioned Space (GB)

Provisioned space in gigabytes.
Key: diskspace|provisioned

Diskspace|Shared Used (GB)

Shared used space in gigabytes.
Key: diskspace|shared

* Diskspace|Snapshot Space (GB)

This metric shows the amount of space taken by snapshots
on a given database.
Use this metric to know how much storage space is being
used by virtual machine snapshots on the datastore.
Check that the snapshot is using 0 GB or minimal space.
Anything over 1 GB should trigger a warning. The actual
value depends on how IO intensive the virtual machines in
the datastore are. Run a DT on them to detect anomaly.
Clear the snapshot within 24 hours, preferably as soon as
you have finished backing up, or patching.
Key: diskspace|snapshot

Diskspace|Virtual Disk Used (GB)

Virtual disk used space in gigabytes.
Key: diskspace|diskused

Diskspace|Virtual machine used (GB)

Virtual machine used space in gigabytes.
Key: diskspace|used

Diskspace|Total disk space used

Total disk space used on all datastores visible to this object.
Key: diskspace|total_usage

Diskspace|Total disk space

Total disk space on all datastores visible to this object.
Key: diskspace|total_capacity

Diskspace|Total provisioned disk space

Total provisioned disk space on all datastores visible to
this object.
Key: diskspace|total_provisioned

Diskspace|Total used (GB)

Total used space in gigabytes.
Key: diskspace|disktotal

Diskspace|Swap File Space (GB)

Swap file space in gigabytes.
Key: diskspace|swap

Diskspace|Other VM Space (GB)

Other virtual machine space in gigabytes.
Key: diskspace|otherused

Diskspace|Freespace (GB)

Unused space available on datastore.
Key: diskspace|freespace

Diskspace|Capacity (GB)

Total capacity of datastore in gigabytes.
Key: diskspace|capacity

Diskspace|Overhead

Amount of disk space that is overhead.
Key: diskspace|overhead

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Summary Metrics for Datastores
Summary metrics provide information about overall performance.
Metric

Description

* Summary|Total Number of Hosts

This metric shows the number of hosts that the datastore is
connected to.
Use this metric to know how many clusters the datastore is
attached to.
The number should not be too high, as a datastore should
not be mounted by every host. The datastore and cluster
should be paired to keep operations simple.
Key: summary|total_number_hosts

* Summary|Total Number of VMs

This metric shows the number of virtual machines which
save their VMDK files on the datastore. If a VM has four
VMDKs stored in four datastores, the VM will be counted
on each datastore.
Use this metric to know how many VMs have at least one
VMDK on a specific datastore.
The number of VMs should be within your Concentration
Risk policy.
You should also expect the datastore to be well used. If only
a few VMs are using the datastore, this is not considered a
good use.
Key: summary|total_number_vms

Summary|Maximum Number of VMs

Maximum number of virtual machines.
Key: summary|max_number_vms

Summary|Workload Indicator

Workload indicator.
Key: summary|workload_indicator

* Summary|Total Number of Clusters

This metric shows the number of clusters that the datastore
is connected to.
Key: summary|total_number_clusters

Template Metrics for Datastores
Metric

Description

Template|Virtual Machine used

Space used by virtual machine files.
Key: template|used

Template|Access Time

Last access time.
Key: template|accessTime

Calculated Metrics
vRealize Operations Manager calculates metrics for capacity, badges, and the health of the system.
Calculated metrics apply to a subset of objects found in the describe.xml file that describes each adapter.
From data that the vCenter adapter collects, vRealize Operations Manager calculates metrics for objects of
type:

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n

vSphere World

n

Virtual Machine

n

Host System

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n

Datastore

From data that the vRealize Operations Manager adapter collects, vRealize Operations Manager calculates
metrics for objects of type:
n

Node

n

Cluster

Capacity and Project-Based Metrics
The capacity engine computes and publishes metrics that help you to plan your resource use based on
consumer demand. Project-based metrics are a subset of capacity metrics that help to plan future resource
use based on predicted consumer demand.

Capacity Metrics Group
For the capacity metrics group, full metric names include the name of the resource container. For example, if
density metrics are computed for CPU or memory, the actual metric names appear as cpu|density or mem|
density.
Only resource containers enabled for the capacity computations have relevant metrics. Not all metric types
are generated for all resource containers. For example, if CPU or memory resource containers are enabled in
a policy for density, but the network resource container is not, then cpu|density and mem|density metrics
are calculated but network|density metrics are not.
A capacity metric definition includes resource containers that act as a consumer or a provider. For example
in vSphere, the virtual machines are consumers of CPU and memory that the ESX host provides.
Table 1‑38. Capacity Metrics Group
Metric Key

Metric Name

Generated for

Description

capacityRemainingUsingConsumers_averag
e

Capacity
Remaining for
Average
Consumer
Profile

Provider

Number of average-size consumers
that can fit into the capacity
remaining. An average-size consumer
demands 50% of total capacity.

capacityRemainingUsingConsumers_small

Capacity
Remaining for
Small
Consumer
Profile

Provider

Number of small-size consumers that
can fit into the capacity remaining. A
small-size consumer demands 0 - 33%
of the total capacity.

capacityRemainingUsingConsumers_mediu
m

Capacity
Remaining for
Medium
Consumer
Profile

Provider

Number of medium-size consumers
that can fit into the capacity
remaining. A medium-size consumer
demands 33-66% of the total capacity.

capacityRemainingUsingConsumers_large

Capacity
Remaining for
Large
Consumer
Profile

Provider

Number of large-size consumers that
can fit into the capacity remaining. A
large-size consumer demands
66-100% of the total capacity.

capacityRemaining

Capacity
Remaining (%)

Both

Percent capacity remaining in the
resource container. For example, if the
resource container is memory and 2
GB out of 10 GB of memory is free,
the capacityRemaining = 20%.

underusedpercent

Under used
(%)

Both

Percent capacity not being used.

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Table 1‑38. Capacity Metrics Group (Continued)

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Metric Key

Metric Name

Generated for

Description

idletimepercent

Idle time (%)

Both

Percent time a resource is idle based
on use over time. Time is a policy
setting. If not set, the default period is
30 days. For example, if a resource is
idle for a total of 6 days out of 30
days, idletimepercent = 20%.

wasteValue

Reclaimable
Capacity

Both

Amount of reclaimable capacity
based on consumer demand over
time. Time is a policy setting. If not
set, the default period is 30 days. For
example, if a vSphere host is
configured with 10 GB of memory but
only 2 GB of memory is used on
average over 30 days, then
wasteValue = 8 GB.

size.recommendation

Recommended
Size

Both

Capacity recommendation based on
demand over time. Time is a policy
setting. If not set, the default period is
30 days. For example, if consumer
demand is 2 GB of memory on
average over 30 days, then the
capacity recommendation is 2 GB.

optimal.vConsumption.per.pConsumption

Optimal
consumption
ratio

Provider

Ratio of ideal resource consumption
to provision based on consumer
demand over time. Ideal resource
consumption is when the current
capacity satisfies demand. Time is a
policy setting. If not set, the default
period is 30 days.

vConsumption.per.pConsumption

Consumption
ratio

Provider

Ratio of current resource
consumption to provision based on
consumer demand.

object.demand

Stress Free
Demand

Both

Demand based on peak analysis of
raw demand values.

object.capacity

Usable
Capacity

Both

Total capacity minus buffers.
Capacity buffer is a policy setting.

object.demand.percent

Effective
Demand (%)

Both

Percent capacity required by effective
demand.

powered.on.consumer.count

Number of
powered on
consumers

Both

Number of consumers that are using
a resource.

base.demand

Computed
Demand

Both

Demand for an object based on self or
consumer demand without the peak
consideration policy setting.

actual.capacity

Current size

Both

Actual capacity without buffers

wastePercent

Reclaimable
Capacity (%)

Both

Percent of reclaimable capacity based
on consumer demand over time. Time
is a policy setting. If not set, the
default period is 30 days. For
example, if a vSphere host is
configured with 10 GB of memory but
only 2 GB of memory is used on
average over 30 days, then
wastePercent = 80%.

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Object-level Metrics Group
Object-level metrics are calculated to track capacity use for all objects of a particular object type.
Table 1‑39. Object-level Metrics Group
Metric Key

Metric Name

Description

summary|timeRemaining

Time Remaining

Time remaining before usable capacity
runs out. Usable capacity excludes
capacity reserved for HA and buffers.

summary|isStress

Is Stressed

Value equals 1 or a yellow badge
indicates that an object is stressed.
Value equals 0 or a green badge
indicates that the object is not stressed.
For a stress badge defined in a policy,
when the stress exceeds the lowest
threshold, the badge color changes
from green to yellow.

summary|capacityRemainingValue

Capacity Remaining
Value

Capacity remaining.

summary|oversized

Is Oversized

Indicates if an object has too much
capacity configured, value of 1, or not,
value of 0.

summary|idle

Is Idle

Indicates if an object is idle (value of 1)
or not (value of 0).

summary|poweredOff

Powered Off

Indicates power state of an object.
Value of 1 means ON and value of 0
means OFF.

summary|
capacityRemainingUsingConsumers_average

Capacity Remaining
(Average consumer
profile)

Capacity remaining based on average
consumer demand.

summary|capacityRemainingUsingConsumers_small

Capacity Remaining
(Small consumer
profile)

Capacity remaining based on small
consumer demand.

summary|
capacityRemainingUsingConsumers_medium

Capacity Remaining
(Medium consumer
profile)

Capacity remaining based on medium
consumer demand.

summary|capacityRemainingUsingConsumers_large

Capacity Remaining
(Large consumer
profile)

Capacity remaining based on large
consumer demand.

summary|capacityRemaining_min

Capacity Remaining
(Based on
instantaneous peak)

Capacity remaining based on peak
demand or stress.

summary|capacity.provider.count

Number of Capacity
providers

Number of capacity providers.

summary|consumer.count

Number of Capacity
consumers

Number of capacity consumers.

summary|consumer.count.per.provider.count

Consumer Provider
ratio

Ratio of number of consumers to
number of providers.

summary|optimal.consumer.per.provider

Optimal Consumer
Provider ratio

Ratio of consumer to provider that
would be optimal based on consumer
demand.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Project-Based Metrics
Project-based metrics are calculated for a change in resources or demand that could affect capacity at some
time in the future. See vRealize Operations Manager User Guide. Most metrics appear with_whatif appended
to the capacity metric name. For example, the what-if applicable metric for capacity remaining is published
as capacityRemaining_whatif.

Badge Metrics
Badge metrics provide information for badges in the user interface. They report the health, risk, and
efficiency of objects in your environment.
vRealize Operations Manager 6.x analyzes badge metric data at five-minute averages, instead of hourly. As a
result, you might find that efficiency and risk badge calculations are more sensitive than in previous
versions. Badge metrics continue to be published nightly.
Table 1‑40. Badge Metrics

80

Metric Key

Metric Name

Description

badge|alert_count_critical

Alert Count Critical

Count of critical alerts on the object.

badge|alert_count_immediate

Alert Count Immediate

Count of immediate alerts on the object.

badge|alert_count_info

Alert Count Info

Count of info alerts on the object.

badge| alert_count_warning

Alert Count Warning

Count of warning alerts on the object.

badge|anomaly

Anomaly

Overall score for anomalies, on a scale of 100.

badge|capacityRemaining

Capacity Remaining

Overall score for capacity remaining, on a scale
of 100.

badge|compliance

Compliance

Overall score for compliance, on a scale of 100.

badge|density

Density

Overall score for density, on a scale of 100.

badge|efficiency

Efficiency

Overall score for efficiency. The score will be
one of these discrete values representing each
state of the badge: Green - 100, Yellow - 75,
Orange - 50, Red - 25, Unknown: -1.

badge|efficiency_classic

Legacy Efficiency

The legacy efficiency score computed on a scale
of 100 as per vCenter Operations Manager
version 5.x. For backward compatibility
purposes.

badge|efficiency_state

Efficiency State

Represents the state of the efficiency badge with
discrete values - Green: 1, Yellow: 2, Orange: 3,
Red: 4, Unknown: -1.

badge|fault

Fault

Overall score for fault, on a scale of 100.

badge|health

Health

Overall score for health. The score will be one of
these discrete values representing each state of
the badge: Green - 100, Yellow - 75, Orange - 50,
Red - 25, Unknown: -1.

badge|health_classic

Legacy Health

The legacy health score computed on a scale of
100 as per vCenter Operations Manager 5.x. For
backward compatibility purposes.

badge|health_state

Health State

Represents the state of health badge with
discrete values - Green: 1, Yellow: 2, Orange: 3,
Red: 4, Unknown: -1

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑40. Badge Metrics (Continued)
Metric Key

Metric Name

Description

badge|risk

Risk

Overall score for risk. The score will be one of
these discrete values representing each state of
the badge: Green - 0, Yellow - 25, Orange - 50,
Red - 75, Unknown: -1.

badge|risk_classic

Legacy Risk

The legacy risk score computed on a scale of 100
as per vCenter Operations Manager 5.x. For
backward compatibility purposes.

badge|risk_state

Risk State

Represents the state of risk badge with discrete
values - Green: 1, Yellow: 2, Orange: 3, Red: 4,
Unknown: -1.

badge|stress

Stress

Overall score of stress, on a scale of 100.

badge|timeRemaining

Time Remaining - Real Time

Overall score of real time remaining, on a scale
of 100.

badge|waste

Waste

Overall score of waste, on a scale of 100.

badge|workload

Workload (%)

Overall score of workload, on a scale of 100.

System Metrics
System metrics provide information used to monitor the health of the system. They help you to identify
problems in your environment.
Table 1‑41. System Metrics
Metric Key

Metric Name

Description

System Attributes|health

Self - Health Score

System health score of self resource

System Attributes|all_metrics

Self - Metric Count

Number of metrics of self resource

System Attributes|ki_metrics

Self - KPI Count

Number of KPI metrics of self resource

System Attributes|active_alarms

Self - Active Anomaly Count

Number of active alarms of self
resource

System Attributes|new_alarms

Self - New Anomaly Count

Number of new alarms of self resource

System Attributes|active_ki_alarms

Self - Active KPI Breach Count

Number of active KPI alarms of self
resource

System Attributes|new_ki_alarms

Self - New KPI Breach Count

Number of new KPI alarms of self
resource

System Attributes|total_alarms

Self - Total Anomalies

Number of total alarms of self resource

System Attributes|change_index

Self - Change Index

Change index of self resource(100 health score)

System Attributes|child_all_metrics

Full Set - Metric Count

Number of metrics of child resources

System Attributes|child_ki_metrics

Full Set - KPI Count

Number of KPI metrics of child
resources

System Attributes|child_active_alarms

Full Set - Active Anomaly Count

Number of active alarms of child
resources

System Attributes|child_new_alarms

Full Set - New Anomaly Count

Number of new alarms of child
resources

System Attributes|
child_active_ki_alarms

Full Set - Active KPI Breach Count

Number of active KPI alarms of child
resources

System Attributes|
child_new_ki_alarms

Full Set - New KPI Breach Count

Number of new KPI alarms of child
resources

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 1‑41. System Metrics (Continued)
Metric Key

Metric Name

Description

System Attributes|availability

Availability

Resource availability (0-down, 1-Up,
-1-Unknown)

System Attributes|alert_count_critical

Alert Count Critical

Number of Critical alerts

System Attributes|
alert_count_immediate

Alert Count Immediate

Number of Immediate alerts

System Attributes|
alert_count_warning

Alert Count Warning

Number of Warning alerts

System Attributes|alert_count_info

Alert Count Info

Number of Info alerts

Self-Monitoring Metrics for vRealize Operations Manager
vRealize Operations Manager uses the vRealize Operations Manager adapter to collect metrics that monitor
its own performance. These self-monitoring metrics drive capacity models for vRealize Operations Manager
objects and are useful for diagnosing problems with vRealize Operations Manager.

Analytics Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager analytics service,
including threshold checking metrics.
Table 1‑42. Analytics Metrics

82

Metric Key

Metric Name

Description

ActiveAlarms

Active DT Symptoms

Active DT Symptoms.

ActiveAlerts

Active Alerts

Active alerts.

PrimaryResourcesCount

Number of primary objects

Number of primary objects

LocalResourcesCount

Number of local objects

Number of local objects

PrimaryMetricsCount

Number of primary metrics

Number of primary metrics

LocalMetricsCount

Number of local metrics

Number of local metrics

ReceivedResourceCount

Number of received objects

Number of received objects

ReceivedMetricCount

Number of received metrics

Number of received metrics

LocalFDSize

Number of forward data entries

Number of locally stored primary
and redundant entries in forward
data region.

LocalPrimaryFDSize

Number of primary forward data
entries

Number of locally stored primary
entries in forward data region.

LocalFDAltSize

Number of alternative forward data
entries

Number of locally stored primary
and redundant entries in
alternative forward data region.

LocalPrimaryFDAltSize

Number of alternative primary
forward data entries

Number of locally stored primary
entries in alternative forward data
region.

CurrentHeapSize

Current heap size

Current heap size.

MaxHeapSize

Max heap size

Max heap size

CommittedMemory

Committed memory

Committed memory

CPUUsage

CPU usage

CPU usage

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑42. Analytics Metrics (Continued)
Metric Key

Metric Name

Description

Threads

Threads

Threads

UpStatus

Threads

Threads

Overall Threshold Checking Metrics for the Analytics Service
Overall threshold checking captures various metrics for work items used to process incoming observation
data. All metrics keys for the overall threshold checking metrics begin with OverallThresholdChecking, as in
OverallThresholdChecking|Count or OverallThresholdChecking|CheckThresholdAndHealth|
OutcomeObservationsSize|TotalCount.
Table 1‑43. Overall Threshold Checking Metrics for the Analytics Service
Metric Key

Metric Name

Description

Count

Count

Count

Duration|TotalDuration

Total

Total length of duration (ms)

Duration|AvgDuration

Average

Average duration (ms)

Duration|MinDuration

Minimum

Minimum duration (ms)

Duration|MaxDuration

Maximum

Maximum duration (ms)

IncomingObservationsSize|TotalCount

Total

Total

IncomingObservationsSize|AvgCount

Average

Average

IncomingObservationsSize|MinCount

Minimal

Minimal

IncomingObservationsSize|MaxCount

Maximal

Maximal

CheckThresholdAndHealth|Count

Count

Count

CheckThresholdAndHealth|Duration|
TotalDuration

Total

Total length of duration (ms)

CheckThresholdAndHealth|Duration|
AvgDuration

Average

Average duration (ms)

CheckThresholdAndHealth|Duration|
MinDuration

Minimum

Minimum duration (ms)

CheckThresholdAndHealth|Duration|
MaxDuration

Maximum

Maximum duration (ms)

CheckThresholdAndHealth|
OutcomeObservationsSize|TotalCount

Total

Total

CheckThresholdAndHealth|
OutcomeObservationsSize|AvgCount

Average

Average

CheckThresholdAndHealth|
OutcomeObservationsSize|MinCount

Minimal

Minimal

CheckThresholdAndHealth|
OutcomeObservationsSize|MaxCount

Maximal

Maximal

SuperMetricComputation|Count

Count

Count

SuperMetricComputation|Duration|
TotalDuration

Total

Total length of duration (ms)

SuperMetricComputation|Duration|
AvgDuration

Average

Average duration (ms)

SuperMetricComputation|Duration|
MinDuration

Minimum

Minimum duration (ms)

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 1‑43. Overall Threshold Checking Metrics for the Analytics Service (Continued)

84

Metric Key

Metric Name

Description

SuperMetricComputation|Duration|
MaxDuration

Maximum

Maximum duration (ms)

SuperMetricComputation|
SuperMetricsCount|TotalCount

Total

Total

SuperMetricComputation|
SuperMetricsCount |AvgCount

Average

Average

SuperMetricComputation|
SuperMetricsCount |MinCount

Minimal

Minimal

SuperMetricComputation|
SuperMetricsCount |MaxCount

Maximal

Maximal

StoreObservationToFSDB|Count

Count

Count

StoreObservationToFSDB|Duration|
TotalDuration

Total

Total length of duration (ms)

StoreObservationToFSDB|Duration|
AvgDuration

Average

Average duration (ms)

StoreObservationToFSDB|Duration|
MinDuration

Minimum

Minimum duration (ms)

StoreObservationToFSDB|Duration|
MaxDuration

Maximum

Maximum duration (ms)

StoreObservationToFSDB|
StoredObservationsSize|TotalCount

Total

Total

StoreObservationToFSDB|
StoredObservationsSize|AvgCount

Average

Average

StoreObservationToFSDB|
StoredObservationsSize|MinCount

Minimal

Minimal

StoreObservationToFSDB|
StoredObservationsSize|MaxCount

Maximal

Maximal

UpdateResourceCache|Count

Count

Count

UpdateResourceCache|Duration|
TotalDuration

Total

Total

UpdateResourceCache|Duration|
AvgDuration

Average

Average

UpdateResourceCache|Duration|
MinDuration

Minimum

Minimum

UpdateResourceCache|Duration|
MaxDuration

Maximum

Maximum

UpdateResourceCache|
ModifcationEstimateCount|TotalCount

Total

The number of estimated
modifications done during each
resource cache object update.

UpdateResourceCache|
ModifcationEstimateCount|AvgCount

Average

Average

UpdateResourceCache|
ModifcationEstimateCount|MinCount

Minimal

Minimal

UpdateResourceCache|
ModifcationEstimateCount|MaxCount

Maximal

Maximal

ManageAlerts|Count

Count

The total number of times the
threshold checking work items
perform alert updates.

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑43. Overall Threshold Checking Metrics for the Analytics Service (Continued)
Metric Key

Metric Name

Description

ManageAlerts|Duration|TotalDuration

Total

The duration for the alert updates
operations.

ManageAlerts|Duration|AvgDuration

Average

Average

ManageAlerts|Duration|MinDuration

Minimum

Minimum

ManageAlerts|Duration|MaxDuration

Maximum

Maximum

UpdateSymptoms|Count

Count

The total number of times the
threshold checking work items
check and build symptoms.

UpdateSymptoms|Duration|TotalDuration

Total

The duration for the check and
build symptoms operation.

UpdateSymptoms|Duration|AvgDuration

Average

Average

UpdateSymptoms|Duration|MinDuration

Minimum

Minimum

UpdateSymptoms|Duration|MaxDuration

Maximum

Maximum

Dynamic Threshold Calculation Metrics for the Analytics Service
All metrics keys for the dynamic threshold calculation metrics begin with DtCalculation, as in

DtCalculation|DtDataWrite|WriteOperationCount or DtCalculation|DtAnalyze|AnalyzeOperationCount.

Table 1‑44. Dynamic Threshold Calculation Metrics for the Analytics Service
Metric Key

Metric Name

Description

DtDataWrite|WriteOperationCount

Write operation count

Write operation count

DtDataWrite|Duration|TotalDuration

Total

Total length of duration (ms)

DtDataWrite|Duration|AvgDuration

Average

Average duration (ms)

DtDataWrite|Duration|MinDuration

Minimum

Minimum duration (ms)

DtDataWrite|Duration|MaxDuration

Maximum

Maximum duration (ms)

DtDataWrite|SavedDtObjectCount|
TotalCount

Total

Total

DtDataWrite|SavedDtObjectCount|
AvgCount

Average

Average

DtDataWrite|SavedDtObjectCount|
MinCount

Minimal

Minimal

DtDataWrite|SavedDtObjectCount|
MaxCount

Maximal

Maximal

DtAnalyze|AnalyzeOperationCount

Analyze Operation Count

Analyze Operation Count

DtAnalyze|Duration|TotalDuration

Total

Total length of duration (ms)

DtAnalyze|Duration|AvgDuration

Average

Average duration (ms)

DtAnalyze|Duration|MinDuration

Minimum

Minimum duration (ms)

DtAnalyze|Duration|MaxDuration

Maximum

Maximum duration (ms)

DtAnalyze|AnalyzedMetricsCount|
TotalCount

Total

Total

DtAnalyze|AnalyzedMetricsCount|
AvgCount

Average

Average

DtAnalyze|AnalyzedMetricsCount|
MinCount

Minimal

Minimal

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 1‑44. Dynamic Threshold Calculation Metrics for the Analytics Service (Continued)
Metric Key

Metric Name

Description

DtAnalyze|AnalyzedMetricsCount|
MaxCount

Maximal

Maximal

DtDataRead|ReadOperationsCount

Read Operation Count

Read Operation Count

DtDataRead|Duration|TotalDuration

Total

Total length of duration (ms)

DtDataRead|Duration|AvgDuration

Average

Average duration (ms)

DtDataRead|Duration|MinDuration

Minimum

Minimum duration (ms)

DtDataRead|Duration|MaxDuration

Maximum

Maximum duration (ms)

DtDataRead|ReadDataPointsCount|
TotalCount

Total

Total

DtDataRead|ReadDataPointsCount|
AvgCount

Average

Average

DtDataRead|ReadDataPointsCount|
MinCount

Minimal

Minimal

DtDataRead|ReadDataPointsCount|
MaxCount

Maximal

Maximal

Table 1‑45. Function Call Metrics for the Analytics Service
Metric Key

Metric Name

Description

FunctionCalls|Count

Number of function calls

Number of function calls

FunctionCalls|AvgDuration

Average execution time

Average execution time

FunctionCalls|MaxDuration

Max execution time

Max execution time

Collector Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager Collector service objects.
Table 1‑46. Collector Metrics

86

Metric Key

Metric Name

Description

ThreadpoolThreadsCount

Number of pool threads

Number of pool threads.

RejectedFDCount

Number of rejected forward data

Number of rejected forward data

RejectedFDAltCount

Number of rejected alternative
forward data

Number of rejected alternative
forward data

SentFDCount

Number of sent objects

Number of sent objects

SentFDAltCount

Number of alternative sent objects

Number of alternative sent objects

CurrentHeapSize

Current heap size (MB)

Current heap size.

MaxHeapsize

Max heap size (MB)

Maximum heap size.

CommittedMemory

Committed memory (MB)

Amount of committed memory.

CPUUsage

CPU usage

CPU usage.

Threads

Threads

Number of threads.

UpStatus

Up Status

Up Status

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Chapter 1 Metric Definitions in vRealize Operations Manager

Controller Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager Controller objects.
Table 1‑47. Controller Metrics
Metric Key

Metric Name

Description

RequestedMetricCount

Number of requested metrics

Number of requested metrics

ApiCallsCount

Number of API calls

Number of API calls

NewDiscoveredResourcesCount

Number of discovered objects

Number of discovered objects

FSDB Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager file system database
(FSDB) objects.
Table 1‑48. FSDB Metrics
Metric Key

Metric Name

Description

StoragePoolElementsCount

Number of storage work items

Number of storage work items

FsdbState

Fsdb state

Fsdb state

StoredResourcesCount

Number of stored objects

Number of stored objects

StoredMetricsCount

Number of stored metrics

Number of stored metrics

Table 1‑49. Storage Thread Pool Metrics for FSDB
Metric Key

Metric Name

Description

StoreOperationsCount

Store operations count

Store operations count

StorageThreadPool|Duration|
TotalDuration

Total

Total number of duration (ms)

StorageThreadPool|Duration|
AvgDuration

Average

Average duration (ms)

StorageThreadPool|Duration|
MinDuration

Minimum

Minimum duration (ms)

StorageThreadPool|Duration|
MaxDuration

Maximum

Maximum duration (ms)

StorageThreadPool|SavedMetricsCount|
TotalCount

Total

Total

StorageThreadPool|SavedMetricsCount|
AvgCount

Average

Average

StorageThreadPool|SavedMetricsCount|
MinCount

Minimal

Minimal

StorageThreadPool|SavedMetricsCount|
MaxCount

Maximal

Maximal

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Product UI Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager product user interface
objects.
Table 1‑50. Product UI Metrics
Metric Key

Metric Name

Description

ActiveSessionsCount

Active sessions

Active sessions

CurrentHeapSize

Current heap size

Current heap size.

MaxHeapsize

Max heap size

Maximum heap size.

CommittedMemory

Committed memory

Amount of committed memory.

CPUUsage

CPU usage

Percent CPU use.

Threads

Threads

Number of threads.

SessionCount

Number of active sessions

Number of active sessions

SelfMonitoringQueueSize

Self Monitoring queue size

Self Monitoring queue size

Table 1‑51. API Call Metrics for the Product UI

88

Metric Key

Metric Name

Description

APICalls|HTTPRequesterRequestCount

HTTPRequester request count

HTTPRequester request count

APICalls|
AvgHTTPRequesterRequestTime

HTTPRequester average request
time

HTTPRequester average request time
(ms)

APICalls|FailedAuthenticationCount

Failed Authentication Count

Failed Authentication Count

APICalls|AvgAlertRequestTime

Average alert request time

Average alert request time (ms)

APICalls|AlertRequestCount

Alert request count

Alert request count

APICalls|AvgMetricPickerRequestTime

Average metric-picker request time

Average metric-picker request time
(ms)

APICalls|MetricPickerRequestCount

Metric picker request count

Metric picker request count

APICalls|HeatmapRequestCount

Heatmap request count

Heatmap request count

APICalls|AvgHeatmapRequestTime

Average HeatMap request time

Average HeatMap request time (ms)

APICalls|MashupChartRequestCount

Mashup Chart request count

Mashup Chart request count

APICalls|AvgMashupChartRequestTime

Average Mashup Chart request
time

Average Mashup Chart request time
(ms)

APICalls|TopNRequestCount

Top N request count

Top N request count

APICalls|AvgTopNRequestTime

Average Top N request time

Average Top N request time (ms)

APICalls|MetricChartRequestCount

Metric Chart request count

Metric Chart request count

APICalls|AvgMetricChartRequestTime

Average MetricChart request time

Average MetricChart request time
(ms)

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Chapter 1 Metric Definitions in vRealize Operations Manager

Admin UI Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager administration user
interface objects.
Table 1‑52. Admin UI Metrics
Metric Key

Metric Name

Description

CurrentHeapSize

Current heap size

Current heap size (MB).

MaxHeapsize

Max heap size

Maximum heap size (MB).

CommittedMemory

Committed memory

Amount of committed memory (MB) .

CPUUsage

CPU usage

CPU usage (%).

Threads

Threads

Number of threads.

SessionCount

Number of active sessions

Number of active sessions

SelfMonitoringQueueSize

Self Monitoring queue size

Self Monitoring queue size

Table 1‑53. API Call Metrics for the Admin UI
Metric Key

Metric Name

Description

APICalls|HTTPRequesterRequestCount

HTTPRequester request count

HTTPRequester request count

APICalls|
AvgHTTPRequesterRequestTime

HTTPRequester average request
time

HTTPRequester average request time
(ms)

Suite API Metrics
vRealize Operations Manager collects metrics for the VMware vRealize Operations Management Suite API
objects.
Table 1‑54. Suite API Metrics
Metric Key

Metric Name

Description

UsersCount

Number of users

Number of users

ActiveSessionsCount

Active sessions

Active sessions

GemfireClientReconnects

Gemfire Client Reconnects

Gemfire Client Reconnects

GemfireClientCurrentCalls

Gemfire Client Total Outstanding

Gemfire Client Total Outstanding

CurrentHeapSize

Current heap size

Current heap size (MB) .

MaxHeapsize

Max heap size

Maximum heap size (MB) .

CommittedMemory

Committed memory

Amount of committed memory (MB).

CPUUsage

CPU usage

CPU usage (%) .

CPUProcessTime

CPU process time

CPU process time (ms)

CPUProcessTimeCapacity

CPU process time capacity

CPU process time capacity (ms)

Threads

Threads

Number of threads.

Table 1‑55. Gemfire Client Call Metrics for the Suite API
Metric Key

Metric Name

Description

GemfireClientCalls|TotalRequests

Total Requests

Total Requests

GemfireClientCalls|AvgResponseTime

Average Response Time

Average Response Time (ms)

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 1‑55. Gemfire Client Call Metrics for the Suite API (Continued)
Metric Key

Metric Name

Description

GemfireClientCalls|MinResponseTime

Minimum Response Time

Minimum Response Time (ms)

GemfireClientCalls|MaxResponseTime

Maximum Response Time

Maximum Response Time

GemfireClientCalls|RequestsPerSecond

Requests per Second

Requests per Second

GemfireClientCalls|CurrentRequests

Current Requests

Current Requests

GemfireClientCalls|RequestsCount

Requests Count

Requests Count

GemfireClientCalls|ResponsesCount

Responses Count

Responses Count

Table 1‑56. API Call Metrics for the Suite API
Metric Key

Metric Name

Description

APICalls|TotalRequests

Total Requests

Total Requests

APICalls|AvgResponseTime

Average Response Time (ms)

Average Response Time (ms)

APICalls|MinResponseTime

Minimum Response Time (ms)

Minimum Response Time (ms)

APICalls|MaxResponseTime

Maximum Response Time

Maximum Response Time

APICalls|ServerErrorResponseCount

Server Error Response Count

Server Error Response Count

APICalls|FailedAuthenticationCount

Failed Authentication Count

Failed Authentication Count

APICalls|FailedAuthorizationCount

Failed Authorization Count

Failed Authorization Count

APICalls|RequestsPerSecond

Requests per Second

Requests per Second

APICalls|CurrentRequests

Current Requests

Current Requests

APICalls|ResponsesPerSecond

Responses per Second

Responses per Second

APICalls|RequestsCount

Requests Count

Requests Count

APICalls|ResponsesCount

Responses Count

Responses Count

Cluster and Slice Administration Metrics
vRealize Operations Manager collects metrics for vRealize Operations Manager Cluster and Slice
Administration (CaSA) objects.
Table 1‑57. Cluster and Slice Administration Metrics
Metric Key

Metric Name

Description

CurrentHeapSize

Current heap size

Current heap size (MB).

MaxHeapsize

Max heap size

Maximum heap size (MB).

CommittedMemory

Committed memory

Amount of committed memory (MB).

CPUUsage

CPU usage

CPU usage (%)

Threads

Threads

Number of threads.

Table 1‑58. API Call Metrics for Cluster and Slice Administration

90

Metric Key

Metric Name

Description

API Calls|TotalRequests

Total Requests

Total Requests

API Calls|AvgResponseTime

Average Response Time

Average Response Time (ms)

API Calls|MinResponseTime

Minimum Response Time

Minimum Response Time (ms)

API Calls|MaxResponseTime

Maximum Response Time

Maximum Response Time (ms)

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑58. API Call Metrics for Cluster and Slice Administration (Continued)
Metric Key

Metric Name

Description

API Calls|ServerErrorResponseCount

Server Error Response Count

Server Error Response Count

API Calls|FailedAuthenticationCount

Failed Authentication Count

Failed Authentication Count

API Calls|FailedAuthorizationCount

Minimum Response Time

Minimum Response Time (ms)

Watchdog Metrics
vRealize Operations Manager collects watchdog metrics to ensure that the vRealize Operations Manager
services are running and responsive.

Watchdog Metrics
The watchdog metric provides the total service count.
Table 1‑59. Watchdog Metrics
Metric Key

Metric Name

Description

ServiceCount

Service Count

Service Count

Service Metrics
Service metrics provide information about watchdog activity.
Table 1‑60. Metrics for the vRealize Operations Manager Watchdog Service
Metric Key

Metric Name

Description

Service|Enabled

Enabled

Enabled

Service|Restarts

Restarts

Number of times the process has been
unresponsive and been restarted by
Watchdog.

Service|Starts

Starts

Number of times the process has been
revived by Watchdog.

Service|Stops

Stops

Number of times the process has been
stopped by Watchdog.

Node Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager node objects.
Metrics can be calculated for node objects. See “Calculated Metrics,” on page 76.
Table 1‑61. Node Metrics
Metric Key

Metric Name

Description

Component Count

Component count

The number of vRealize Operations
Manager objects reporting for this
node

PrimaryResourcesCount

Number of primary objects

Number of primary objects

LocalResourcesCount

Number of local objects

Number of local objects

PrimaryMetricsCount

Number of primary metrics

Number of primary metrics

LocalMetricsCount

Number of local metrics

Number of local metrics

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Table 1‑61. Node Metrics (Continued)
Metric Key

Metric Name

Description

PercentDBStorageAvailable

Percent disk available /storage/db

Percent disk available /storage/db

PercentLogStorageAvailable

Percent disk available /storage/log

Percent disk available /storage/log

Table 1‑62. Memory Metrics for the Node
Metric Key

Metric Name

Description

mem|actualFree

Actual Free

Actual Free

mem|actualUsed

Actual Used

Actual Used

mem|free

Free

Free )

mem|used

Used

Used

mem|total

Total

Total

mem|demand_gb

Estimated memory demand

Estimated memory demand

Metric Key

Metric Name

Description

swap|total

Total

Total

swap|free

Free

Free

swap|used

Used

Used

swap|pageIn

Page in

Page in

swap|pageOut

Page out

Page out

Table 1‑63. Swap Metrics for the Node

Table 1‑64. Resource Limit Metrics for the Node
Metric Key

Metric Name

Description

resourceLimit|numProcesses

Number of processes

Number of processes

resourceLimit|openFiles

Number of open files

Number of open files

resourceLimit|openFilesMax

Number of open files maximum
limit

Number of open files maximum
limit

resourceLimit|numProcessesMax

Number of processes maximum limit

Number of processes maximum
limit

Metric Key

Metric Name

Description

net|allInboundTotal

All inbound connections

All inbound total

net|allOutboundTotal

All outbound connections

All outbound total

net|tcpBound

TCP bound

TCP bound

net|tcpClose

TCP state CLOSE

Number of connections in TCP
CLOSE

net|tcpCloseWait

TCP state CLOSE WAIT

Number of connections in TCP
state CLOSE WAIT

net|tcpClosing

TCP state CLOSING

Number of connections in TCP
state CLOSING

net|tcpEstablished

TCP state ESTABLISHED

Number of connections in TCP
state ESTABLISHED

Table 1‑65. Network Metrics for the Node

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Table 1‑65. Network Metrics for the Node (Continued)
Metric Key

Metric Name

Description

net|tcpIdle

TCP state IDLE

Number of connections in TCP
state IDLE

net|tcpInboundTotal

TCP inbound connections

TCP inbound connections

net|tcpOutboundTotal

TCP outbound connections

TCP outbound connections

net|tcpLastAck

TCP state LAST ACK

Number of connections in TCP
state LAST ACK

net|tcpListen

TCP state LISTEN

Number of connections in TCP
state LISTEN

net|tcpSynRecv

TCP state SYN RCVD

Number of connections in TCP
state SYN RCVD

net|tcpSynSent

TCP state SYN_SENT

Number of connections in TCP
state SYN_SENT

net|tcpTimeWait

TCP state TIME WAIT

Number of connections in TCP
state TIME WAIT

Table 1‑66. Network Interface Metrics for the Node
Metric Key

Metric Name

Description

net|iface|speed

Speed

Speed (bits/sec)

net|iface|rxPackets

Receive packets

Number of received packets

net|iface|rxBytes

Receive bytes

Number of received bytes

net|iface|rxDropped

Receive packet drops

Number of received packets
dropped

net|iface|rxFrame

Receive packets frame

Number of receive packets frame

net|iface|rxOverruns

Receive packets overruns

Number of receive packets
overrun

net|iface|txPackets

Transmit packets

Number of transmit packets

net|iface|txBytes

Transmit bytes

Number of transmit bytes

net|iface|txDropped

Transmit packet drops

Number of transmit packets
dropped

net|iface|txCarrier

Transmit carrier

Transmit carrier

net|iface|txCollisions

Transmit packet collisions

Number of transmit collisions

net|iface|txErrors

Transmit packet errors

Number of transmit errors

net|iface|txOverruns

Transmit packet overruns

Number of transmit overruns

Table 1‑67. Disk Filesystem Metrics for the Node
Metric Key

Metric Name

Description

disk|fileSystem|total

Total

Total

disk|fileSystem|available

Available

Available

disk|fileSystem|used

Used

Used

disk|fileSystem|files

Total file nodes

Total file nodes

disk|fileSystem|filesFree

Total free file nodes

Total free file nodes

disk|fileSystem|queue

Disk queue

Disk queue

disk|fileSystem|readBytes

Read bytes

Number of bytes read

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Table 1‑67. Disk Filesystem Metrics for the Node (Continued)
Metric Key

Metric Name

Description

disk|fileSystem|writeBytes

Write bytes

Number of bytes written

disk|fileSystem|reads

Reads

Number of reads

disk|fileSystem|writes

Writes

Number of writes

Table 1‑68. Disk Installation Metrics for the Node
Metric Key

Metric Name

Description

disk|installation|used

Used

Used

disk|installation|total

Total

Total

disk|installation|available

Available

Available

Table 1‑69. Disk Database Metrics for the Node
Metric Key

Metric Name

Description

disk|db|used

Used

Used

disk|db|total

Total

Total

disk|db|available

Available

Available

Metric Key

Metric Name

Description

disk|log|used

Used

Used

disk|log|total

Total

Total

disk|log|available

Available

Available

Metric Key

Metric Name

Description

cpu|combined

Combined load

Combined load (User + Sys + Nice
+ Wait)

cpu|idle

Idle

Idle time fraction of total
available cpu (cpu load)

cpu|irq

Irq

Interrupt time fraction of total
available cpu (cpu load)

cpu|nice

Nice

Nice time fraction of total
available cpu (cpu load)

cpu|softIrq

Soft Irq

Soft interrupt time fraction of
total available cpu (cpu load)

cpu|stolen

Stolen

Stolen time fraction of total
available cpu (cpu load)

cpu|sys

Sys

Sys time fraction of total available
cpu (cpu load)

cpu|user

User (cpu load)

User time fraction of total
available cpu (cpu load)

cpu|wait

Wait (cpu load)

Wait time fraction of total
available cpu (cpu load)

cpu|total

Total available for a cpu

Total available for a cpu

Table 1‑70. Disk Log Metrics for the Node

Table 1‑71. CPU Metrics for the Node

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Table 1‑71. CPU Metrics for the Node (Continued)
Metric Key

Metric Name

Description

cpu|allCpuCombined

Total combined load for all cpus

Total combined load for all cpus
(cpu load)

cpu|allCpuTotal_ghz

Available

Available

cpu|allCpuCombined_ghz

Used

Used

cpu|allCpuCombined_percent

CPU usage

CPU usage (%)

Metric Key

Metric Name

Description

device|iops

Reads/Writes per second

Average number of read/write
commands issued per second
during the collection interval.

device|await

Average transaction time

Average transaction time
(milliseconds).

device|iops_readMaxObserved

Maximum observed reads per
second

Maximum observed reads per
second.

device|iops_writeMaxObserved

Maximum observed writes per
second

Maximum observed writes per
second.

Metric Key

Metric Name

Description

service|proc|fdUsage

Total number of open file descriptors

Total number of open file
descriptors.

Metric Key

Metric Name

Description

ntp|serverCount

Configured server count

Configured server count

ntp|unreachableCount

Unreachable server count

Unreachable server count

ntp|unreachable

Unreachable

Is the NTP server unreachable.
Value of 0 is reachable, 1 means
the server was not reached or
didn't respond.

Metric Key

Metric Name

Description

heap|CurrentHeapSize

Current heap size

Current heap size

heap|MaxHeapSize

Max heap size

Max heap size

heap|CommittedMemory

Committed Memory

Committed Memory

Table 1‑72. Device Metrics for the Node

Table 1‑73. Service Metrics for the Node

Table 1‑74. NTP Metrics for the Node

Table 1‑75. Heap Metrics for the Node

Cluster Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager cluster objects including
dynamic threshold calculation metrics and capacity computation metrics.
Metrics can be calculated for cluster objects. See “Calculated Metrics,” on page 76.

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Cluster Metrics
Cluster metrics provide host, resource, and metric counts on the cluster.
Table 1‑76. Cluster Metrics
Metric Key

Metric Name

Description

HostCount

Number of Nodes in Cluster

Number of Nodes in Cluster

PrimaryResourcesCount

Number of primary resources

Number of primary resources

LocalResourcesCount

Number of local resources

Number of local resources

PrimaryMetricsCount

Number of primary metrics

Number of primary metrics

ReceivedResourceCount

Number of received resources

Number of received resources

ReceivedMetricCount

Number of received metrics

Number of received metrics

DT Metrics
DT metrics are dynamic threshold metrics for the cluster. Non-zero values appear only if metric collection
occurs while the dynamic threshold calculations are running.
Table 1‑77. DT Metrics for the Cluster
Metric Key

Metric Name

Description

dt|isRunning

Running

Running

dt|dtRunTime

Running duration

Running duration (ms)

dt|StartTime

Running start time

Running start time

dt|percentage

Percent

Percent (%)

dt|executorCount

Executor Node Count

Executor Node Count

dt|resourceCount

Resource Count

Resource Count

dt|fsdbReadTime

FSDB Read Time

FSDB Read Time (ms)

dt|dtObjectSaveTime

DT Object Save Time

DT Object Save Time (ms)

dt|dtHistorySaveTime

DT History Save Time

DT History Save Time (ms)

dt|executor|resourceCount

Resource Count

Resource Count

Capacity Computation (CC) Metrics
CC metrics are capacity computation metrics for the cluster. Non-zero values appear only if metric collection
occurs while the capacity computation calculations are running.
Table 1‑78. CC Metrics for the Cluster

96

Metric Key

Metric Name

Description

cc|isRunning

Running

Running

cc|runTime

Total Run Time

Total Run Time

cc|startTime

Start time

Start time

cc|finishTime

Finish Time

Finish Time

cc|totalResourcesToProcess

Total Objects Count

Total Objects Count

cc|progress

Progress

Progress

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Table 1‑78. CC Metrics for the Cluster (Continued)
Metric Key

Metric Name

Description

cc|phase1TimeTaken

Phase 1 Computation Time

Phase 1 Computation Time

cc|phase2TimeTaken

Phase 2 Computation Time

Phase 2 Computation Time

Gemfire Cluster Metrics
Gemfire metrics provide information about the Gemfire cluster.
Table 1‑79. Gemfire cluster Metrics for the Cluster
Metric Key

Metric Name

Description

GemfireCluster|System|AvgReads

Average reads per second

The average number of reads per
second for all members

GemfireCluster|System|AvgWrites

Average writes per second

The average number of writes per
second for all members

GemfireCluster|System|DiskReadsRate

Disk reads rate

The average number of disk reads per
second across all distributed members

GemfireCluster|System|DiskWritesRate

Disk writes rate

The average number of disk writes
per second across all distributed
members

GemfireCluster|System|
GarbageCollectionCount

Total garbage collection count

The total garbage collection count for
all members

GemfireCluster|System|
GarbageCollectionCountDelta

New garbage collection count

The new garbage collection count for
all members

GemfireCluster|System|JVMPauses

JVM pause count

The number of detected JVM pauses

GemfireCluster|System|JVMPausesDelta

New JVM pause count

The number of new detected JVM
pauses

GemfireCluster|System|
DiskFlushAvgLatency

Disk flush average latency

Disk flush average latency (msec)

GemfireCluster|System|
NumRunningFunctions

Number of running functions

The number of map-reduce jobs
currently running on all members in
the distributed system

GemfireCluster|System|NumClients

Number of clients

The number of connected clients

GemfireCluster|System|TotalHitCount

Total hit count

Total number of cache hits for all
regions

GemfireCluster|System|
TotalHitCountDelta

New hit count

Number of new cache hits for all
regions

GemfireCluster|System|TotalMissCount

Total miss count

The total number of cache misses for
all regions

GemfireCluster|System|
TotalMissCountDelta

New miss count

Number of new cache misses for all
regions

GemfireCluster|System|Member|
FreeSwapSpace

Swap space free

Swap space free (MB)

GemfireCluster|System|Member|
TotalSwapSpace

Swap space total

Swap space total (MB)

GemfireCluster|System|Member|
CommittedVirtualMemorySize

Committed virtual memory size

Committed virtual memory size (MB)

GemfireCluster|System|Member|
SystemLoadAverage

System load average

System load average

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Table 1‑79. Gemfire cluster Metrics for the Cluster (Continued)

98

Metric Key

Metric Name

Description

GemfireCluster|System|Member|
FreePhysicalMemory

Free physical memory

Free physical memory (MB)

GemfireCluster|System|Member|
TotalPhysicalMemory

Total physical memory

Total physical memory (MB)

GemfireCluster|System|Member|
CacheListenerCallsAvgLatency

Average cache listener calls latency

Average cache listener calls latency
(msec)

GemfireCluster|System|Member|
CacheWriterCallsAvgLatency

Average cache writer calls latency

Average cache writer calls latency
(msec)

GemfireCluster|System|Member|
DeserializationAvgLatency

Average deserialization latency

Average deserialization latency
(msec)

GemfireCluster|System|Member|
FunctionExecutionRate

Function executions per second

Function executions per second

GemfireCluster|System|Member|
JVMPauses

Number of JVM pauses

Number of JVM pauses

GemfireCluster|System|Member|
NumRunningFunctions

Number of running functions

Number of running functions

GemfireCluster|System|Member|
PutsRate

Puts per second

Puts per second

GemfireCluster|System|Member|
GetsRate

Gets per second

Gets per second

GemfireCluster|System|Member|
GetsAvgLatency

Average gets latency

Average gets latency (msec)

GemfireCluster|System|Member|
PutsAvgLatency

Average puts latency

Average puts latency (msec)

GemfireCluster|System|Member|
SerializationAvgLatency

Average serialization latency

Average serialization latency (msec)

GemfireCluster|System|Member|Disk|
DiskFlushAvgLatency

Flush average latency

Flush average latency (msec)

GemfireCluster|System|Member|Disk|
DiskReadsRate

Average reads per second

Average reads per second

GemfireCluster|System|Member|Disk|
DiskWritesRate

Average writes per second

Average writes per second

GemfireCluster|System|Member|
Network|BytesReceivedRate

Average received bytes per second

Average received bytes per second

GemfireCluster|System|Member|
Network|BytesSentRate

Average sent bytes per second

Average sent bytes per second

GemfireCluster|System|Member|JVM|
GCTimeMillis

Garbage Collection time

Total amount of time spent on
garbage collection

GemfireCluster|System|Member|JVM|
GCTimeMillisDelta

New Garbage Collection time

New amount of time spent on
garbage collection

GemfireCluster|System|Member|JVM|
TotalThreads

Total threads

Total threads

GemfireCluster|System|Member|JVM|
CommitedMemory

Committed Memory

Committed Memory (MB)

GemfireCluster|System|Member|JVM|
MaxMemory

Max Memory

Max Memory (MB)

GemfireCluster|System|Member|JVM|
UsedMemory

Used Memory

Used Memory (MB)

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Table 1‑79. Gemfire cluster Metrics for the Cluster (Continued)
Metric Key

Metric Name

Description

GemfireCluster|Region|
SystemRegionEntryCount

Entry Count

Entry Count

GemfireCluster|Region|DestroyRate

Destroys per second

Destroys per second

GemfireCluster|Region|CreatesRate

Creates per second

Creates per second

GemfireCluster|Region|GetsRate

Gets per second

Gets per second

GemfireCluster|Region|BucketCount

Bucket count

Bucket count

GemfireCluster|Region|AvgBucketSize

Average number of entries per
bucket

Average number of entries per bucket

GemfireCluster|Region|Member|
ActualRedundancy

Actual redundancy

Actual redundancy

GemfireCluster|Region|Member|
BucketCount

Bucket count

Bucket count

GemfireCluster|Region|Member|
AvgBucketSize

Average number of entries per
bucket

Average number of entries per bucket

GemfireCluster|Region|Member|
CreatesRate

Creates per second

Creates per second

GemfireCluster|Region|Member|
GetsRate

Gets per second

Gets per second

GemfireCluster|Region|Member|
DestroyRate

Destroys per second

Destroys per second

GemfireCluster|Region|Member|
MissCount

Number of misses count

Number of cache misses

GemfireCluster|Region|Member|
MissCountDelta

Number of new cache misses

Number of new cache misses

GemfireCluster|Region|Member|
HitCount

Number of hits count

Number of cache hits

GemfireCluster|Region|Member|
HitCountDelta

Number of new cache hits

Number of new cache hits

Threshold Checking Metrics
Threshold checking metrics check the processed and computed metrics for the cluster.
Table 1‑80. Threshold Checking Metrics for the Cluster
Metric Key

Metric Name

Description

ThresholdChecking|ProcessedMetricCount

Number of processed metrics

Number of processed metrics

ThresholdChecking|ProcessedMetricRate

Received metric processing rate (per
second)

Received metric processing rate
(per second)

ThresholdChecking|ComputedMetricCount

Number of computed metrics

Number of computed metrics

ThresholdChecking|ComputedMetricRate

Computed metric processing rate
(per second)

Computed metric processing rate
(per second)

Memory Metrics
Memory metrics provide memory CPU use information for the cluster.

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Table 1‑81. Memory Metrics for the Cluster
Metric Key

Metric Name

Description

Memory|AvgFreePhysicalMemory

Average free physical memory

Average free physical memory
(GB)

Memory|TotalFreePhysicalMemory

Free physical memory

Free physical memory (GB)

Memory|TotalMemory

Total Available Memory

Total Available Memory (GB)

Memory|TotalUsedMemory

Actual Used Memory

Actual Used Memory (GB)

Memory|TotalDemandMemory

Memory Demand

Memory Demand (GB)

Elastic Memory Metrics
Elastic memory metrics provide reclaimable memory CPU use information for the cluster.
Table 1‑82. Memory Metrics for the Cluster
Metric Key

Metric Name

Description

ElasticMemory|TotalMemory

Total Available Memory

Total Available Memory (GB)

ElasticMemory|TotalUsedMemory

Actual Used Memory

Actual Used Memory (GB)

ElasticMemory|TotalDemandMemory

Memory Demand

Memory Demand (GB)

CPU Metrics
CPU metrics provide CPU information for the cluster.
Table 1‑83. CPU Metrics for the Cluster
Metric Key

Metric Name

Description

cpu|TotalCombinedUsage

CPU Load

CPU Load

cpu|TotalAvailable

CPU Available

CPU Available

cpu|TotalAvailable_ghz

Available

Available (GHz)

cpu|TotalUsage_ghz

Used

Used (GHz)

cpu|TotalUsage

CPU usage

CPU usage (%)

Disk Metrics
Disk metrics provide available disk information for the cluster.
Table 1‑84. Disk Metrics for the Cluster

100

Metric Key

Metric Name

Description

Disk|DatabaseStorage|AvgAvailable

Average node disk available

Average node disk available

Disk|DatabaseStorage|MinAvailable

Minimum node disk available

Minimum node disk available

Disk|DatabaseStorage|MaxAvailable

Maximum node disk available

Maximum node disk available

Disk|DatabaseStorage|TotalAvailable

Available

Available

Disk|DatabaseStorage|Total

Total

Total

Disk|DatabaseStorage|TotalUsed

Used

Used

Disk|LogStorage|AvgAvailable

Average node disk available

Average node disk available

Disk|LogStorage|MinAvailable

Minimum node disk available

Minimum node disk available

Disk|LogStorage|MaxAvailable

Maximum node disk available

Maximum node disk available

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Table 1‑84. Disk Metrics for the Cluster (Continued)
Metric Key

Metric Name

Description

Disk|LogStorage|TotalAvailable

Available

Available

Disk|LogStorage|Total

Total

Total

Disk|LogStorage|TotalUsed

Used

Used

Persistence Metrics
vRealize Operations Manager collects metrics for various persistence resources or service groups.

Activity Metrics
Activity metrics relate to the activity framework.
Table 1‑85. Activity Metrics for Persistence
Metric Key

Metric Name

Description

Activity|RunningCount

Number Running

Number Running

Activity|ExecutedCount

Number Executed

Number Executed

Activity|SucceededCount

Number Succeeded

Number Succeeded

Activity|FailedCount

Number Failed

Number Failed

Controller XDB Metrics
Controller metrics relate to the master database.
Table 1‑86. Controller XDB Metrics for Persistence
Metric Key

Metric Name

Description

ControllerXDB|Size

Size

Size (Bytes)

ControllerXDB|TempDBSize

Temporary DB Size

Temporary DB Size (Bytes)

ControllerXDB|TotalObjectCount

Total Object Count

Total Object Count

ControllerXDB|AvgQueryDuration

Average Query Duration

Average Query Duration (ms)

ControllerXDB|MinQueryDuration

Minimum Query Duration

Minimum Query Duration (ms)

ControllerXDB|MaxQueryDuration

Maximum Query Duration

Maximum Query Duration (ms)

ControllerXDB|TotalTransactionCount

Total Transaction Count

Total Transaction Count

ControllerXDB|LockOperationErrorCount

Lock Operation Error Count

Lock Operation Error Count

ControllerXDB|DBCorruptionErrorCount

DB Corruption Error Count

DB Corruption Error Count

ControllerXDB|
DBMaxSessionExceededCount

DB Maximum Sessions Exceeded
Count

DB Maximum Sessions Exceeded
Count

ControllerXDB|NumberWaitingForSession

Number of operations waiting for a
session

Number of operations waiting for
a session from the session pool

ControllerXDB|AvgWaitForSessionDuration

Average acquisition time from
session pool

Average acquisition time from
session pool

ControllerXDB|MinWaitForSessionDuration

Minimum acquisition time from
session pool

Minimum acquisition time from
session pool

ControllerXDB|MaxWaitForSessionDuration

Maximum acquisition time from
session pool

Maximum acquisition time from
session pool

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Table 1‑86. Controller XDB Metrics for Persistence (Continued)
Metric Key

Metric Name

Description

ControllerXDB|TotalGetSessionCount

Total requests for a session from the
session pool

Total requests for a session from
the session pool

ControllerXDB|MaxActiveSessionCount

Maximum Concurrent Session Count

Maximum concurrent session
count during the past collection
interval.

Alarm SQL Metrics
Alarm metrics relate to the persistence of alerts and symptoms.
Table 1‑87. Alarm XDB Metrics for Persistence
Metric Key

Metric Name

Description

AlarmSQL|Size

Size (Bytes)

Size (Bytes)

AlarmSQL|AvgQueryDuration

Average Query Duration (ms)

Average Query Duration (ms)

AlarmSQL|MinQueryDuration

Minimum Query Duration (ms)

Minimum Query Duration (ms)

AlarmSQL|MaxQueryDuration

Maximum Query Duration (ms)

Maximum Query Duration (ms)

AlarmSQL|TotalTransactionCount

Total Transaction Count

Total Transaction Count

AlarmSQL|TotalAlarms

Alarm Total Object Count

Alarm Total Object Count

AlarmSQL|TotalAlerts

Alert Total Object Count

Alert Total Object Count

AlarmSQL|AlertTableSize

Alert Table Size

Alert Table Size

AlarmSQL|AlarmTableSize

Alarm Table Size

Alarm Table Size

Key Value Store Database (KVDB)
KVDB metrics relate to the persistence of storing key-value data.
Metric Key

Metric Name

Description

KVDB|AvgQueryDuration

Average Query Duration

Average Query Duration

KVDB|MinQueryDuration

Minimum Query Duration

Minimum Query Duration

KVDB|MaxQueryDuration

Maximum Query Duration

Maximum Query Duration

KVDB|TotalTransactionCount

Total Transaction Count

Total Transaction Count

Historical Inventory Service XDB Metrics
Historical inventory service metrics relate to the persistence of configuration properties and their changes.
Table 1‑88. Historical XDB Metrics for Persistence

102

Metric Key

Metric Name

Description

HisXDB|FunctionCalls|Count HisXDB|
FunctionCalls

Number of Function calls

Number of Function calls

HisXDB|FunctionCalls|AvgDuration

Average execution time

Average execution time

HisXDB|FunctionCalls|MaxDuration

Max execution time

Max execution time

HisXDB|Size

Size

Size (Bytes)

HisXDB|TempDBSize

Temporary DB Size

Temporary DB Size (Bytes)

HisXDB|TotalObjectCount

Total Object Count

Total Object Count

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Table 1‑88. Historical XDB Metrics for Persistence (Continued)
Metric Key

Metric Name

Description

HisXDB|AvgQueryDuration

Average Query Duration

Average Query Duration (ms)

HisXDB|MinQueryDuration

Minimum Query Duration

Minimum Query Duration (ms)

HisXDB|MaxQueryDuration

Maximum Query Duration

Maximum Query Duration (ms)

HisXDB|TotalTransactionCount

Total Transaction Count

Total Transaction Count

HisXDB|LockOperationErrorCount

Lock Operation Error Count

Lock Operation Error Count

HisXDB|DBCorruptionErrorCount

DB Corruption Error Count

DB Corruption Error Count

HisXDB|DBMaxSessionExceededCount

DB Maximum Sessions Exceeded
Count

DB Maximum Sessions Exceeded
Count

HisXDB|NumberWaitingForSession

Number of operations waiting for a
session

Number of operations waiting for
a session from the session pool

HisXDB|AvgWaitForSessionDuration

Average acquisition time from
session pool

Average acquisition time from
session pool

HisXDB|MinWaitForSessionDuration

Minimum acquisition time from
session pool

Minimum acquisition time from
session pool

HisXDB|MaxWaitForSessionDuration

Maximum acquisition time from
session pool

Maximum acquisition time from
session pool

HisXDB|TotalGetSessionCount

Total requests for a session from the
session pool

Total requests for a session from
the session pool

HisXDB|HisActivitySubmissionCount

HIS activity submission count

Number of Historical Inventory
Service activities submitted

HisXDB|HisActivityCompletionCount

HIS activity completion count

Number of Historical Inventory
Service activities completed

HisXDB|HisActivityCompletionDelayAvg

HIS activity average completion
delay

The average amount of time from
activity submission to completion

HisXDB|HisActivityCompletionDelayMax

HIS activity maximum completion
delay

The maximum amount of time
from activity submission to
completion

HisXDB|HisActivityAbortedCount

HIS activity abort count

Number of Historical Inventory
Service activities aborted

Remote Collector Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager remote collector node
objects.
Table 1‑89. Remote Collector Metrics
Metric Key

Metric Name

Description

ComponentCount

Component Count

The number of vRealize Operations
Manager Objects reporting for this
node.

Table 1‑90. Memory Metrics for the Remote Collector
Metric Key

Metric Name

Description

mem|actualFree

Actual Free

Actual Free

mem|actualUsed

Actual Used

Actual Used

mem|free

Free

Free )

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Table 1‑90. Memory Metrics for the Remote Collector (Continued)
Metric Key

Metric Name

Description

mem|used

Used

Used

mem|total

Total

Total

mem|demand_gb

Estimated memory demand

Estimated memory demand

Table 1‑91. Swap Metrics for the Remote Collector
Metric Key

Metric Name

Description

swap|total

Total

Total

swap|free

Free

Free

swap|used

Used

Used

swap|pageIn

Page in

Page in

swap|pageOut

Page out

Page out

Table 1‑92. Resource limit Metrics for the Remote Collector
Metric Key

Metric Name

Description

resourceLimit|numProcesses

Number of processes

Number of processes

resourceLimit|openFiles

Number of open files

Number of open files

resourceLimit|openFilesMax

Number of open files maximum
limit

Number of open files maximum
limit

resourceLimit|numProcessesMax

Number of processes maximum limit

Number of processes maximum
limit

Table 1‑93. Network Metrics for the Remote Collector

104

Metric Key

Metric Name

Description

net|allInboundTotal

All inbound connections

All inbound total

net|allOutboundTotal

All outbound connections

All outbound total

net|tcpBound

TCP bound

TCP bound

net|tcpClose

TCP state CLOSE

Number of connections in TCP
CLOSE

net|tcpCloseWait

TCP state CLOSE WAIT

Number of connections in TCP
state CLOSE WAIT

net|tcpClosing

TCP state CLOSING

Number of connections in TCP
state CLOSING

net|tcpEstablished

TCP state ESTABLISHED

Number of connections in TCP
state ESTABLISHED

net|tcpIdle

TCP state IDLE

Number of connections in TCP
state IDLE

net|tcpInboundTotal

TCP inbound connections

TCP inbound connections

net|tcpOutboundTotal

TCP outbound connections

TCP outbound connections

net|tcpLastAck

TCP state LAST ACK

Number of connections in TCP
state LAST ACK

net|tcpListen

TCP state LISTEN

Number of connections in TCP
state LISTEN

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑93. Network Metrics for the Remote Collector (Continued)
Metric Key

Metric Name

Description

net|tcpSynRecv

TCP state SYN RCVD

Number of connections in TCP
state SYN RCVD

net|tcpSynSent

TCP state SYN_SENT

Number of connections in TCP
state SYN_SENT

net|tcpTimeWait

TCP state TIME WAIT

Number of connections in TCP
state TIME WAIT

Table 1‑94. Network Interface Metrics for the Remote Collector
Metric Key

Metric Name

Description

net|iface|speed

Speed

Speed (bits/sec)

net|iface|rxPackets

Receive packets

Number of received packets

net|iface|rxBytes

Receive bytes

Number of received bytes

net|iface|rxDropped

Receive packet drops

Number of received packets
dropped

net|iface|rxFrame

Receive packets frame

Number of receive packets frame

net|iface|rxOverruns

Receive packets overruns

Number of receive packets
overrun

net|iface|txPackets

Transmit packets

Number of transmit packets

net|iface|txBytes

Transmit bytes

Number of transmit bytes

net|iface|txDropped

Transmit packet drops

Number of transmit packets
dropped

net|iface|txCarrier

Transmit carrier

Transmit carrier

net|iface|txCollisions

Transmit packet collisions

Number of transmit collisions

net|iface|txErrors

Transmit packet errors

Number of transmit errors

net|iface|txOverruns

Transmit packet overruns

Number of transmit overruns

Table 1‑95. Disk Filesystem Metrics for the Remote Collector
Metric Key

Metric Name

Description

disk|fileSystem|total

Total

Total

disk|fileSystem|available

Available

Available

disk|fileSystem|used

Used

Used

disk|fileSystem|files

Total file nodes

Total number of file nodes

disk|fileSystem|filesFree

Total free file nodes

Total free file nodes

disk|fileSystem|queue

Disk queue

Disk queue

disk|fileSystem|readBytes

Read bytes

Number of bytes read

disk|fileSystem|writeBytes

Write bytes

Number of bytes written

disk|fileSystem|reads

Reads

Number of reads

disk|fileSystem|writes

Writes

Number of writes

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Table 1‑96. Disk Installation Metrics for the Remote Collector
Metric Key

Metric Name

Description

disk|installation|used

Used

Used

disk|installation|total

Total

Total

disk|installation|available

Available

Available

Table 1‑97. Disk Database Metrics for the Remote Collector
Metric Key

Metric Name

Description

disk|db|used

Used

Used

disk|db|total

Total

Total

disk|db|available

Available

Available

Table 1‑98. Disk Log Metrics for the Remote Collector
Metric Key

Metric Name

Description

disk|log|used

Used

Used

disk|log|total

Total

Total

disk|log|available

Available

Available

Table 1‑99. CPU Metrics for the Remote Collector

106

Metric Key

Metric Name

Description

cpu|combined

Combined load

Combined load (User + Sys + Nice
+ Wait)

cpu|idle

Idle

Idle time fraction of total
available cpu (cpu load)

cpu|irq

Irq

Interrupt time fraction of total
available cpu (cpu load)

cpu|nice

Nice

Nice time fraction of total
available cpu (cpu load)

cpu|softIrq

Soft Irq

Soft interrupt time fraction of
total available cpu (cpu load)

cpu|stolen

Stolen

Stolen time fraction of total
available cpu (cpu load)

cpu|sys

Sys

Sys time fraction of total available
cpu (cpu load)

cpu|user

User

User time fraction of total
available cpu (cpu load)

cpu|wait

Wait

Wait time fraction of total
available cpu (cpu load)

cpu|total

Total available for a cpu

Total available for a cpu

cpu|allCpuCombined

Total combined load for all cpus

Total combined load for all cpus
(cpu load)

cpu|allCpuTotal_ghz

Available

Available

cpu|allCpuCombined_ghz

Used

Used

cpu|allCpuCombined_percent

CPU usage

CPU usage (%)

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑100. Device Metrics for the Remote Collector
Metric Key

Metric Name

Description

device|iops

Reads/writes per second

Average number of read/write
commands issued per second
during the collection interval

device|await

Average transaction time

Average transaction time
(milliseconds)

Table 1‑101. Service Metrics for the Remote Collector
Metric Key

Metric Name

Description

service|proc|fdUsage

Total number of open file descriptors

Total number of open file
descriptors (Linux). Total number
of open handles (Windows)

Table 1‑102. NTP Metrics for the Remote Collector
Metric Key

Metric Name

Description

ntp|serverCount

Configured server count

Configured server count

ntp|unreachableCount

Unreachable server count

Unreachable server count

ntp|unreachable

Unreachable

Is the NTP server unreachable.
Value of 0 is reachable, 1 means
the server was not reached or
didn't respond.

Metrics for vRealize Automation
The vRealize Automation solution collects metrics about the total number of virtual machines deployed.
Table 1‑103. Metrics
Metric Name

Description

Total Deployed

The total number of virtual machines deployed from the blueprint.
Key: DeploymentCount | TotalDeployed

Managed Resources Object as a Filter in vRealize Automation
The vRealize Automation solution uses filters to display the VMware vCenter adapter objects that are
managed by or have some association with vRealize Automation. Some of the dashboards have widgets that
are configured to display only VMware vCenter adapter objects that vRealize Automation manages or is
associated with. vRealize Automation uses an object called Managed Resources as a filter to display only
those objects. All of these resources are placed under the Managed Resources object of type
vRealize Automation Entity Status. The absence of this filter causes all VMware vCenter adapter objects to
be displayed in the widgets. If you delete the Managed Resources object, the adapter re-creates the object,
but the dashboards display incorrect information in the widgets that use this filter. If you delete the
Managed Resources object, you must manually configure the widgets in the dashboard and select the
Managed Resources object as a filter in each section that displays the VMware vCenter adapter objects.

Metrics for vSAN
vRealize Operations Manager collects metrics for vSAN objects.
In the menu, click Environment > All Objects > vSAN Adapter. Select one of the vSAN adapter objects
listed and click the All Metrics tab.

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Disk I/O and Disk Space Metrics for vSAN Disk Groups
The vRealize Operations Manager collects the metrics you use to monitor the performance of your vSAN
disk groups.
Disk I/O metrics for the vSAN disk groups include:
n

Disk I/O|Reads Per Second (IOPS)

n

Disk I/O|Writes Per Second (IOPS

n

Disk I/O|Max Observed Reads Per Second (IOPS)

n

Disk I/O|Max Observed Writes Per Second (IOPS)

n

Disk I/O|Throughput Read (bps)

n

Disk I/O|Throughput Write (bps)

n

Disk I/O|Average Read Latency (ms)

n

Disk I/O|Average Write Latency (ms)

n

Disk I/O|Read Count

n

Disk I/O|Write Count

n

Disk I/O|Average Device Latency

n

Disk I/O|Average Device Read Latency

n

Disk I/O|Average Device Write Latency

n

Disk I/O|Total Bus Resets

n

Disk I/O|Total Commands Aborted per second

n

Disk I/O|Total Number of Errors

Disk space metrics for vSAN disk groups include:
n

Disk Space|Capacity (bytes)

n

Disk Space|Used (bytes)

n

Disk Space|Usage (%)

Read Cache Metrics for vSAN Disk Groups
The vRealize Operations Manager collects metrics and performs capacity trend analysis on a hybrid vSAN
read cache. Read Cache metrics are not collected for a vSAN all-flash configuration.
Read cache metrics for the vSAN disk group include:

108

n

Read Cache|Hit Rate (%)

n

Read Cache|Miss Rate Ratio

n

Read Cache|Read Cache Reads Per Second (IOPS)

n

Read Cache|Read Cache Read Latency (ms)

n

Read Cache|Read Cache Read I/O Count

n

Read Cache|Read Cache Writes Per Second (IOPS)

n

Read Cache|Read Cache Write Latency (ms)

n

Read Cache|Read Cache Write I/O Count

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Chapter 1 Metric Definitions in vRealize Operations Manager

Write Buffer Metrics for vSAN Disk Groups
The vRealize Operations Manager collects the metrics you use to monitor the write buffer capacity of your
vSAN disk groups.
A reasonably balanced system consumes a significant amount of write buffer. Before placing additional
workload on the vSAN, check the write buffer metrics for the vSAN disk group.
n

Write Buffer|Capacity (bytes)

n

Write Buffer|Free (%)

n

Write Buffer|Usage (%)

n

Write Buffer|Used (byte)

n

Write Buffer|Write Buffer Reads Per Second (IOPS)

n

Write Buffer|Write Buffer Read Latency (ms)

n

Write Buffer|Write Buffer Read I/O Count

n

Write Buffer|Write Buffer Writes Per Second (IOPS)

n

Write Buffer|Write Buffer Write Latency (ms)

n

Write Buffer|Write Buffer Write I/O Count

Congestion Metrics for vSAN Disk Groups
The vRealize Operations Manager collects congestion metrics for the vSAN disk group.
n

Congestion| Memory Congestion - Favorite

n

Congestion| SSD Congestion - Favorite

n

Congestion| IOPS Congestion - Favorite

n

Congestion| Slab Congestion

n

Congestion| Log Congestion

n

Congestion| Comp Congestion

Metrics for vSAN Cluster
The vRealize Operations Manager collects the metrics you use to monitor the performance of your vSAN
cluster.
Metrics for vSAN cluster include:
Component

Metrics

Component Limit

n
n
n

Disk Space

n
n
n

Read Cache

n
n
n

VMware, Inc.

vSAN|Component Limit|Component Limit Used (%)
vSAN|Component Limit|Total Component Limit
vSAN|Component Limit|Used Component Limit
vSAN|Disk Space|Disk Space Used (%)
vSAN|Disk Space|Total Disk Space (GB)
vSAN|Disk Space|Used Disk Space (GB)
vSAN|Read Cache|Read Cache Reserved (%)
vSAN|Read Cache|Reserved Read Cache Size (GB)
vSAN|Read Cache|Total Read Cache Size (GB)

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Component

Metrics

Performance

n
n
n
n
n
n
n
n
n
n
n

Deduplication And Compression
Overview

n
n
n
n

Summary

n
n
n
n
n
n
n
n
n
n
n

vSAN|Read Cache|Reads Per Second (IOPS)
vSAN|Read Cache|Read Throughput (KBps)
vSAN|Read Cache|Average Read Latency (ms)
vSAN|Read Cache|Writes Per Second (IOPS)
vSAN|Read Cache|Write Throughput (KBps)
vSAN|Read Cache|Average Write Latency (ms)
vSAN|Read Cache|Congestion
vSAN|Read Cache|Outstanding I/O
vSAN|Read Cache|Total IOPS
vSAN|Read Cache|Total Latency (ms)
vSAN|Read Cache|Total Throughput (KBps)
vSAN|Deduplication And Compression Overview|Used Before
vSAN|Deduplication And Compression Overview|Used After
vSAN|Deduplication And Compression Overview|Savings
vSAN|Deduplication And Compression Overview|Ratio
Summary|Number of Cache Disks
Summary|Total Number of Capacity Disks
Summary|CPU Workload
Summary|Memory Workload
Summary|Total Number of Disk Groups
Summary|Total Active Alerts Count
Summary|Total Number of VMs
Summary|Total Number of Hosts
Summary|vSAN Cluster Capacity Remaining (%)
Summary|VSAN Cluster Storage Time Remaining
Summary|vSAN Capacity Disk Used

Metrics for vSAN Enabled Host
The vRealize Operations Manager collects the metrics you use to monitor the performance of your vSAN
enabled host.
Metrics for vSAN enabled host include:
Component

Metrics

Component Limit

n
n
n

Disk Space

n
n
n

Read Cache

n
n
n

110

vSAN|Component Limit|Component Limit Used (%)
vSAN|Component Limit|Total Component Limit
vSAN|Component Limit|Used Component Limit
vSAN|Disk Space|Disk Space Used (%)
vSAN|Disk Space|Total Disk Space (GB)
vSAN|Disk Space|Used Disk Space (GB)
vSAN|Read Cache|Read Cache Reserved (%)
vSAN|Read Cache|Reserved Read Cache Size (GB)
vSAN|Read Cache|Total Read Cache Size (GB)

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Chapter 1 Metric Definitions in vRealize Operations Manager

Metrics for vSAN Datastore
The vRealize Operations Manager collects the metrics you use to monitor the performance of your vSAN
datastore.
Datastore I/O metrics for vSAN datastore include:
n

Datastore I/O|Reads Per Second (IOPS)

n

Datastore I/O|Read Rate (KBps)

n

Datastore I/O|Read Latency (ms)

n

Datastore I/O|Writes Per Second (IOPS)

n

Datastore I/O|Write Rate (KBps)

n

Datastore I/O|Write Latency (ms)

n

Datastore I/O|Outstanding I/O requests

n

Datastore I/O|Congestion

Metrics for vSAN Cache Disk
The vRealize Operations Manager collects the metrics you use to monitor the performance of your vSAN
cache disk.
Metrics for vSAN cache disk include:
Component

Metrics

Performance

n
n
n
n
n
n
n
n
n
n
n
n
n

SCSI SMART Statistics

n
n
n
n
n
n
n
n
n
n
n
n
n

VMware, Inc.

Performance|Bus Resets
Performance|Commands Aborted Per Second
Performance|Device Latency (ms)
Performance|Device Read Latency (ms)
Performance|Device Write Latency (ms)
Performance|Read Requests Per Second
Performance|Average Reads Per Second
Performance|Write Requests Per Second
Performance|Average Writes Per Second
Performance|Read Rate
Performance|Write Rate
Performance|Usage
Performance|HDD Errors
SCSI SMART Statistics|Health Status
SCSI SMART Statistics|Media Wearout Indicator
SCSI SMART Statistics|Write Error Count
SCSI SMART Statistics|Read Error Count
SCSI SMART Statistics|Power on Hours
SCSI SMART Statistics|Reallocated Sector Count
SCSI SMART Statistics|Raw Read Error Rate
SCSI SMART Statistics|Drive Temperature
SCSI SMART Statistics|Maximum Observed Drive Temperature
SCSI SMART Statistics|Drive Rated Max Temperature
SCSI SMART Statistics|Write Sectors TOT Count
SCSI SMART Statistics|Read Sectors TOT Count
SCSI SMART Statistics|Initial Bad Block Count

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Component

Metrics

Capacity

n
n

vSAN|Health|Capacity|Total Disk Capacity (GB)
vSAN|Health|Capacity|Used Disk Capacity (GB)

Congestion Health

n

vSAN|Health|Congestion Health|Congestion Value

Performance

n

vSAN|Performance|Physical Layer Reads Per Second
vSAN|Performance|Physical Layer Writes Per Second
vSAN|Performance|Physical Layer Read Throughput (KBps)
vSAN|Performance|Physical Layer Write Throughput (KBps)
vSAN|Performance|Physical Layer Read Latency (ms)
vSAN|Performance|Physical Layer Write Latency (ms)
vSAN|Performance|Physical Layer Read Count
vSAN|Performance|Physical Layer Write Count
vSAN|Performance|Device Average Latency (ms)
vSAN|Performance|Guest Average Latency (ms)

n
n
n
n
n
n
n
n
n

Metrics for vSAN Capacity Disk
The vRealize Operations Manager collects the metrics you use to monitor the performance of your vSAN
capacity disk.
Metrics for vSAN capacity disk include:
Component

Metrics

Performance

n
n
n
n
n
n
n
n
n
n
n
n
n

SCSI SMART Statistics

n
n
n
n
n
n
n
n
n
n
n
n
n

Capacity

n
n

112

Performance|Bus Resets
Performance|Commands Aborted Per Second
Performance|Device Latency (ms)
Performance|Device Read Latency (ms)
Performance|Device Write Latency (ms)
Performance|Read Requests Per Second
Performance|Average Reads Per Second
Performance|Write Requests Per Second
Performance|Average Writes Per Second
Performance|Read Rate
Performance|Write Rate
Performance|Usage
Performance|HDD Errors
SCSI SMART Statistics|Health Status
SCSI SMART Statistics|Media Wearout Indicator
SCSI SMART Statistics|Write Error Count
SCSI SMART Statistics|Read Error Count
SCSI SMART Statistics|Power on Hours
SCSI SMART Statistics|Reallocated Sector Count
SCSI SMART Statistics|Raw Read Error Rate
SCSI SMART Statistics|Drive Temperature
SCSI SMART Statistics|Maximum Observed Drive Temperature
SCSI SMART Statistics|Drive Rated Max Temperature
SCSI SMART Statistics|Write Sectors TOT Count
SCSI SMART Statistics|Read Sectors TOT Count
SCSI SMART Statistics|Initial Bad Block Count
vSAN|Health|Total Disk Capacity (GB)
vSAN|Health|Used Disk Capacity (GB)

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Chapter 1 Metric Definitions in vRealize Operations Manager

Component

Metrics

Congestion Health

vSAN|Health|Congestion Value

Performance

n
n
n
n
n
n
n
n
n
n
n
n
n
n
n
n

vSAN|Performance|Physical Layer Reads Per Second
vSAN|Performance|Physical Layer Writes Per Second
vSAN|Performance|Physical Layer Read Throughput (KBps)
vSAN|Performance|Physical Layer Write Throughput (KBps)
vSAN|Performance|Physical Layer Read Latency (ms)
vSAN|Performance|Physical Layer Write Latency (ms)
vSAN|Performance|Physical Layer Read Count
vSAN|Performance|Physical Layer Write Count
vSAN|Performance|Device Average Latency (ms)
vSAN|Performance|Guest Average Latency (ms)
vSAN|Performance|vSAN Layer Reads Per Second
vSAN|Performance|vSAN Layer Writes Per Second
vSAN|Performance|vSAN Layer Read Latency (ms)
vSAN|Performance|vSAN Layer Write Latency (ms)
vSAN|Performance|vSAN Layer Read Count
vSAN|Performance|vSAN Layer Write Count

Properties for vSAN capacity disk include:
n

Name

n

Size

n

Vendor

n

Type

n

Queue Depth

Metrics for vSAN World
The vRealize Operations Manager collects the metrics you use to monitor the performance of your vSAN
world.
Metrics for vSAN world include:
n

Summary|Total Number of VMs

n

Summary|Total Number of Hosts

n

Summary|Total IOPS

n

Summary|Total Latency

n

Summary|Total Number of Clusters

n

Summary|Total Number of DiskGroups

n

Summary|Total Number of Cache Disks

n

Summary|Total Number of Capacity Disks

n

Summary|Total Number of Datastores

n

Summary|Total vSAN Disk Capacity (TB)

n

Summary|Total vSAN Disk Capacity Used (TB)

n

Summary|Remaining Capacity (TB)

n

Summary|Remaining Capacity (%)

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n

Summary|Total Savings by Deduplication and Compression (GB)

Metrics for the Operating Systems and Remote Service Monitoring
Plug-ins in End Point Operations Management
vRealize Operations Manager collects metrics for the object types in the Operating Systems and Remote
Service Monitoring plug-ins.
Due to rounding in metric time calculation, there can be situations in which the Resource Availability metric
is rounded up. Rounding up the metric appears as gaps in the metrics reported by the
End Point Operations Management agent. However, the metrics are fully reported.

Operating Systems Plug-in Metrics
The Operating Systems plug-in collects metrics for object types such Linux, AIX, Solaris, and Windows. The
Operating Systems plug-in also collects metrics for Windows services, Script services, and Multiprocess
services.

AIX Metrics
The Operating Systems Plug-in discovers the metrics for the AIX object type. AIX 6.1 and 7.1 are supported.
Table 1‑104. AIX metrics

114

Name

Category

KPI

Resource Availability

AVAILABILITY

True

System Uptime

AVAILABILITY

True

File System Reads/Writes

THROUGHPUT

False

File System Reads/Writes per Minute

THROUGHPUT

False

Tcp Passive Opens

THROUGHPUT

False

Tcp Out Segs per Minute

THROUGHPUT

False

Tcp Attempt Fails

THROUGHPUT

False

Tcp Estab Resets per Minute

THROUGHPUT

False

Tcp Retrans Segs

THROUGHPUT

False

Tcp Out Segs

THROUGHPUT

False

Tcp Estab Resets

THROUGHPUT

False

Tcp Active Opens

THROUGHPUT

False

Tcp Curr Estab

THROUGHPUT

False

Tcp In Errs

THROUGHPUT

False

Tcp In Errs per Minute

THROUGHPUT

False

Tcp Active Opens per Minute

THROUGHPUT

False

Tcp Out Rsts per Minute

THROUGHPUT

False

Tcp Out Rsts

THROUGHPUT

False

Tcp Attempt Fails per Minute

THROUGHPUT

False

Tcp Passive Opens per Minute

THROUGHPUT

False

Tcp In Segs per Minute

THROUGHPUT

False

Tcp In Segs

THROUGHPUT

False

Tcp Retrans Segs per Minute

THROUGHPUT

False

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑104. AIX metrics (Continued)
Name

Category

KPI

Cpu Wait Time

UTILIZATION

False

Cpu Idle

UTILIZATION

False

Cpu Idle Time

UTILIZATION

False

Cpu Idle Time per Minute

UTILIZATION

False

Cpu Wait Time per Minute

UTILIZATION

False

Cpu Usage

UTILIZATION

True

Cpu Wait

UTILIZATION

False

Cpu Nice

UTILIZATION

False

Free Memory

UTILIZATION

False

Load Average 15 Minutes

UTILIZATION

False

Load Average 5 Minutes

UTILIZATION

False

Load Average 1 Minute

UTILIZATION

False

Nfs Server V3 Write per Minute

UTILIZATION

False

Nfs Server V3 Readlink per Minute

UTILIZATION

False

Nfs Server V3 Readdirplus per Minute

UTILIZATION

False

Nfs Server V3 Commit per Minute

UTILIZATION

False

Nfs Server V3 Access

UTILIZATION

False

Nfs Server V3 Access per Minute

UTILIZATION

False

Nfs Server V3 Rename per Minute

UTILIZATION

False

Nfs Server V3 Fsstat per Minute

UTILIZATION

False

Nfs Server V3 Create per Minute

UTILIZATION

False

Nfs Server V3 Mkdir per Minute

UTILIZATION

False

Nfs Server V3 Mknod

UTILIZATION

False

Nfs Server V3 Read per Minute

UTILIZATION

False

Nfs Server V3 Fsstat

UTILIZATION

False

Nfs Server V3 Link

UTILIZATION

False

Nfs Server V3 Write

UTILIZATION

False

Nfs Server V3 Lookup per Minute

UTILIZATION

False

Nfs Server V3 Link per Minute

UTILIZATION

False

Nfs Server V3 Rmdir per Minute

UTILIZATION

False

Nfs Server V3 Mkdir

UTILIZATION

False

Nfs Server V3 Remove per Minute

UTILIZATION

False

Nfs Server V3 Symlink

UTILIZATION

False

Nfs Server V3 Symlink per Minute

UTILIZATION

False

Nfs Server V3 Remove

UTILIZATION

False

Nfs Server V3 Null

UTILIZATION

False

Nfs Server V3 Readdirplus

UTILIZATION

False

Nfs Server V3 Readdir

UTILIZATION

False

Nfs Server V3 Getattr per Minute

UTILIZATION

False

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Table 1‑104. AIX metrics (Continued)

116

Name

Category

KPI

Nfs Server V3 Read

UTILIZATION

False

Nfs Server V3 Lookup

UTILIZATION

False

Nfs Server V3 Pathconf

UTILIZATION

False

Nfs Server V3 Readlink

UTILIZATION

False

Nfs Server V3 Pathconf per Minute

UTILIZATION

False

Nfs Server V3 Mknod per Minute

UTILIZATION

False

Nfs Server V3 Setattr per Minute

UTILIZATION

False

Nfs Server V3 Setattr

UTILIZATION

False

Nfs Server V3 Create

UTILIZATION

False

Nfs Server V3 Fsinfo per Minute

UTILIZATION

False

Nfs Server V3 Fsinfo

UTILIZATION

False

Nfs Server V3 Getattr

UTILIZATION

False

Nfs Server V3 Rmdir

UTILIZATION

False

Nfs Server V3 Readdir per Minute

UTILIZATION

False

Nfs Server V3 Rename

UTILIZATION

False

Nfs Server V3 Commit

UTILIZATION

False

Nfs Server V3 Null per Minute

UTILIZATION

False

Number of CPUs

UTILIZATION

False

Page Major faults

UTILIZATION

False

Percent Used Memory

UTILIZATION

True

Page Major faults per Second

UTILIZATION

False

Page Faults per Second

UTILIZATION

False

Page Faults

UTILIZATION

False

Percent Used Swap

UTILIZATION

True

Percent Free Swap

UTILIZATION

False

Percent Free Memory

UTILIZATION

False

Running Processes

UTILIZATION

False

Sleeping Processes

UTILIZATION

False

Stopped Processes

UTILIZATION

False

System Cpu Time per Minute

UTILIZATION

False

System Cpu

UTILIZATION

False

System Cpu Time

UTILIZATION

False

Swap Used

UTILIZATION

False

Swap Pages In

UTILIZATION

False

Swap Pages In per Minute

UTILIZATION

False

Swap Total

UTILIZATION

False

Swap Free

UTILIZATION

False

Swap Pages Out

UTILIZATION

False

Swap Pages Out per Minute

UTILIZATION

False

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑104. AIX metrics (Continued)
Name

Category

KPI

Total disk capacity

UTILIZATION

False

Total Processes

UTILIZATION

False

Total Memory

UTILIZATION

False

Total disk usage

UTILIZATION

False

User Cpu Time

UTILIZATION

False

User Cpu

UTILIZATION

False

User Cpu Time per Minute

UTILIZATION

False

Used Memory

UTILIZATION

False

Zombie Processes

UTILIZATION

False

Linux Metrics
The Operating Systems Plug-in discovers the metrics for the Linux object type.
Table 1‑105. Linux Metrics
Name

Category

KPI

Resource Availability

AVAILABILITY

True

System Uptime

AVAILABILITY

False

File System Reads/Writes

THROUGHPUT

False

File System Reads/Writes per
Minute

THROUGHPUT

False

Tcp Attempt Fails

THROUGHPUT

False

Tcp State Established

THROUGHPUT

False

Tcp Estab Resets per Minute

THROUGHPUT

False

Tcp Retrans Segs

THROUGHPUT

False

Tcp State LISTEN

THROUGHPUT

False

Tcp State CLOSING

THROUGHPUT

False

Tcp State SYN_SENT

THROUGHPUT

False

Tcp State TIME_WAIT

THROUGHPUT

False

Tcp State SYN_RECV

THROUGHPUT

False

Tcp In Errs per Minute

THROUGHPUT

False

Tcp Out Segs per Minute

THROUGHPUT

False

Tcp Passive Opens per Minute

THROUGHPUT

False

Tcp Out Segs

THROUGHPUT

False

Tcp Estab Resets

THROUGHPUT

False

Tcp Active Opens

THROUGHPUT

False

Tcp Outbound Connections

THROUGHPUT

False

Tcp Curr Estab

THROUGHPUT

False

Tcp In Errs

THROUGHPUT

False

Tcp Inbound Connections

THROUGHPUT

False

Tcp Active Opens per Minute

THROUGHPUT

False

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Table 1‑105. Linux Metrics (Continued)

118

Name

Category

KPI

Tcp Out Rsts per Minute

THROUGHPUT

False

Tcp In Segs

THROUGHPUT

False

Tcp Retrans Segs per Minute

THROUGHPUT

False

Tcp Passive Opens

THROUGHPUT

False

Tcp Out Rsts

THROUGHPUT

False

Tcp State FIN_WAIT1

THROUGHPUT

False

Tcp State FIN_WAIT2

THROUGHPUT

False

Tcp State CLOSE_WAIT

THROUGHPUT

False

Tcp In Segs per Minute

THROUGHPUT

False

Tcp State CLOSE

THROUGHPUT

False

Tcp State LAST_ACK

THROUGHPUT

False

Tcp Attempt Fails per Minute

THROUGHPUT

False

Cpu Stolen

UTILIZATION

False

Cpu Wait Time

UTILIZATION

False

Cpu Irq Time per Minute

UTILIZATION

False

Cpu SoftIrq Time

UTILIZATION

False

Cpu Stolen Time per Minute

UTILIZATION

False

Cpu Stolen Time

UTILIZATION

False

Cpu Idle Time

UTILIZATION

False

Cpu Irq

UTILIZATION

False

Cpu SoftIrq Time per Minute

UTILIZATION

False

Cpu Idle Time per Minute

UTILIZATION

False

Cpu Wait Time per Minute

UTILIZATION

False

Cpu Irq Time

UTILIZATION

False

Cpu SoftIrq

UTILIZATION

False

Cpu Idle

UTILIZATION

False

Cpu Usage

UTILIZATION

True

Cpu Wait

UTILIZATION

False

Cpu Nice

UTILIZATION

False

Free Memory

UTILIZATION

False

Free Memory (+ buffers/cache)

UTILIZATION

False

Load Average 15 Minutes

UTILIZATION

False

Load Average 5 Minutes

UTILIZATION

False

Load Average 1 Minute

UTILIZATION

False

Nfs Server V3 Readlink per
Minute

UTILIZATION

False

Nfs Server V3 Readdirplus per
Minute

UTILIZATION

False

Nfs Server V3 Commit per
Minute

UTILIZATION

False

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑105. Linux Metrics (Continued)
Name

Category

KPI

Nfs Server V3 Access

UTILIZATION

False

Nfs Server V3 Access per Minute

UTILIZATION

False

Nfs Server V3 Remove

UTILIZATION

False

Nfs Server V3 Rename per
Minute

UTILIZATION

False

Nfs Server V3 Fsstat per Minute

UTILIZATION

False

Nfs Server V3 Create per Minute

UTILIZATION

False

Nfs Server V3 Mkdir per Minute

UTILIZATION

False

Nfs Server V3 Mknod

UTILIZATION

False

Nfs Server V3 Read per Minute

UTILIZATION

False

Nfs Server V3 Fsstat

UTILIZATION

False

Nfs Server V3 Link

UTILIZATION

False

Nfs Server V3 Write

UTILIZATION

False

Nfs Server V3 Remove per
Minute

UTILIZATION

False

Nfs Server V3 Lookup per
Minute

UTILIZATION

False

Nfs Server V3 Link per Minute

UTILIZATION

False

Nfs Server V3 Rmdir per Minute

UTILIZATION

False

Nfs Server V3 Mkdir

UTILIZATION

False

Nfs Server V3 Mknod per
Minute

UTILIZATION

False

Nfs Server V3 Getattr per Minute

UTILIZATION

False

Nfs Server V3 Null

UTILIZATION

False

Nfs Server V3 Readdirplus

UTILIZATION

False

Nfs Server V3 Lookup

UTILIZATION

False

Nfs Server V3 Pathconf

UTILIZATION

False

Nfs Server V3 Readlink

UTILIZATION

False

Nfs Server V3 Write per Minute

UTILIZATION

False

Nfs Server V3 Readdir

UTILIZATION

False

Nfs Server V3 Setattr per Minute

UTILIZATION

False

Nfs Server V3 Setattr

UTILIZATION

False

Nfs Server V3 Read

UTILIZATION

False

Nfs Server V3 Pathconf per
Minute

UTILIZATION

False

Nfs Server V3 Symlink per
Minute

UTILIZATION

False

Nfs Server V3 Fsinfo per Minute

UTILIZATION

False

Nfs Server V3 Fsinfo

UTILIZATION

False

Nfs Server V3 Getattr

UTILIZATION

False

Nfs Server V3 Rmdir

UTILIZATION

False

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Table 1‑105. Linux Metrics (Continued)

120

Name

Category

KPI

Nfs Server V3 Readdir per
Minute

UTILIZATION

False

Nfs Server V3 Create

UTILIZATION

False

Nfs Server V3 Rename

UTILIZATION

False

Nfs Server V3 Commit

UTILIZATION

False

Nfs Server V3 Null per Minute

UTILIZATION

False

Number of CPUs

UTILIZATION

False

Page Major faults

UTILIZATION

False

Page Major faults per Second

UTILIZATION

False

Page Faults per Second

UTILIZATION

False

Percent Free Swap

UTILIZATION

False

Percent Free Memory

UTILIZATION

False

Percent Used Memory

UTILIZATION

True

Percent Used Swap

UTILIZATION

True

Page Faults

UTILIZATION

False

Running Processes

UTILIZATION

False

Sleeping Processes

UTILIZATION

False

Stopped Processes

UTILIZATION

False

Swap Pages Out per Minute

UTILIZATION

False

Swap Pages In per Minute

UTILIZATION

False

Swap Free

UTILIZATION

False

Swap Pages Out

UTILIZATION

False

Swap Used

UTILIZATION

False

Swap Total

UTILIZATION

False

Swap Pages In

UTILIZATION

False

System Cpu

UTILIZATION

False

System Cpu Time per Minute

UTILIZATION

False

System Cpu Time

UTILIZATION

False

Total disk capacity

UTILIZATION

False

Total Processes

UTILIZATION

False

Total Memory

UTILIZATION

False

Total disk usage

UTILIZATION

False

User Cpu Time

UTILIZATION

False

Used Memory (- buffers/cache)

UTILIZATION

False

User Cpu

UTILIZATION

False

User Cpu Time per Minute

UTILIZATION

False

Used Memory

UTILIZATION

False

Zombie Processes

UTILIZATION

False

VMware, Inc.

Chapter 1 Metric Definitions in vRealize Operations Manager

Solaris Metrics
The Operating Systems Plug-in discovers the metrics for the Solaris object type. Solaris x86 and SPARC are
supported.
Table 1‑106. Solaris Metrics
Name

Category

KPI

Resource Availability

AVAILABILITY

True

System Uptime

AVAILABILITY

False

File System Reads/Writes

THROUGHPUT

False

File System Reads/Writes per Minute

THROUGHPUT

False

Tcp Attempt Fails

THROUGHPUT

False

Tcp State Established

THROUGHPUT

False

Tcp Estab Resets per Minute

THROUGHPUT

False

Tcp Retrans Segs

THROUGHPUT

False

Tcp State LISTEN

THROUGHPUT

False

Tcp State CLOSING

THROUGHPUT

False

Tcp State SYN_SENT

THROUGHPUT

False

Tcp State TIME_WAIT

THROUGHPUT

False

Tcp State SYN_RECV

THROUGHPUT

False

Tcp In Errs per Minute

THROUGHPUT

False

Tcp Out Segs per Minute

THROUGHPUT

False

Tcp Passive Opens per Minute

THROUGHPUT

False

Tcp Out Segs

THROUGHPUT

False

Tcp Estab Resets

THROUGHPUT

False

Tcp Active Opens per Minute

THROUGHPUT

False

Tcp Outbound Connections

THROUGHPUT

False

Tcp Curr Estab

THROUGHPUT

False

Tcp In Errs

THROUGHPUT

False

Tcp Inbound Connections

THROUGHPUT

False

Tcp Active Opens

THROUGHPUT

False

Tcp Out Rsts per Minute

THROUGHPUT

False

Tcp In Segs

THROUGHPUT

False

Tcp Retrans Segs per Minute

THROUGHPUT

False

Tcp Passive Opens

THROUGHPUT

False

Tcp Out Rsts

THROUGHPUT

False

Tcp State FIN_WAIT1

THROUGHPUT

False

Tcp State FIN_WAIT2

THROUGHPUT

False

Tcp State CLOSE_WAIT

THROUGHPUT

False

Tcp In Segs per Minute

THROUGHPUT

False

Tcp State CLOSE

THROUGHPUT

False

Tcp State LAST_ACK

THROUGHPUT

False

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 1‑106. Solaris Metrics (Continued)

122

Name

Category

KPI

Tcp Attempt Fails per Minute

THROUGHPUT

False

Cpu Wait Time

UTILIZATION

False

Cpu Idle Time

UTILIZATION

False

Cpu Idle Time per Minute

UTILIZATION

False

Cpu Wait Time per Minute

UTILIZATION

False

Cpu Idle

UTILIZATION

False

Cpu Usage

UTILIZATION

True

Cpu Wait

UTILIZATION

False

Cpu Nice

UTILIZATION

False

Free Memory

UTILIZATION

False

Load Average 15 Minutes

UTILIZATION

False

Load Average 5 Minutes

UTILIZATION

False

Load Average 1 Minute

UTILIZATION

False

Nfs Server V3 Readlink per Minute

UTILIZATION

False

Nfs Server V3 Readdirplus per Minute

UTILIZATION

False

Nfs Server V3 Commit per Minute

UTILIZATION

False

Nfs Server V3 Access

UTILIZATION

False

Nfs Server V3 Access per Minute

UTILIZATION

False

Nfs Server V3 Remove

UTILIZATION

False

Nfs Server V3 Rename per Minute

UTILIZATION

False

Nfs Server V3 Fsstat per Minute

UTILIZATION

False

Nfs Server V3 Create per Minute

UTILIZATION

False

Nfs Server V3 Mkdir per Minute

UTILIZATION

False

Nfs Server V3 Mknod

UTILIZATION

False

Nfs Server V3 Read per Minute

UTILIZATION

False

Nfs Server V3 Fsstat

UTILIZATION

False

Nfs Server V3 Link

UTILIZATION

False

Nfs Server V3 Write

UTILIZATION

False

Nfs Server V3 Remove per Minute

UTILIZATION

False

Nfs Server V3 Lookup per Minute

UTILIZATION

False

Nfs Server V3 Link per Minute

UTILIZATION

False

Nfs Server V3 Rmdir per Minute

UTILIZATION

False

Nfs Server V3 Mkdir

UTILIZATION

False

Nfs Server V3 Mknod per Minute

UTILIZATION

False

Nfs Server V3 Getattr per Minute

UTILIZATION

False

Nfs Server V3 Null

UTILIZATION

False

Nfs Server V3 Readdirplus

UTILIZATION

False

Nfs Server V3 Lookup

UTILIZATION

False

Nfs Server V3 Pathconf

UTILIZATION

False

VMware, Inc.

Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑106. Solaris Metrics (Continued)
Name

Category

KPI

Nfs Server V3 Readlink

UTILIZATION

False

Nfs Server V3 Write per Minute

UTILIZATION

False

Nfs Server V3 Readdir

UTILIZATION

False

Nfs Server V3 Setattr per Minute

UTILIZATION

False

Nfs Server V3 Setattr

UTILIZATION

False

Nfs Server V3 Read

UTILIZATION

False

Nfs Server V3 Pathconf per Minute

UTILIZATION

False

Nfs Server V3 Symlink per Minute

UTILIZATION

False

Nfs Server V3 Symlink

UTILIZATION

False

Nfs Server V3 Fsinfo per Minute

UTILIZATION

False

Nfs Server V3 Fsinfo

UTILIZATION

False

Nfs Server V3 Getattr

UTILIZATION

False

Nfs Server V3 Rmdir

UTILIZATION

False

Nfs Server V3 Readdir per Minute

UTILIZATION

False

Nfs Server V3 Create

UTILIZATION

False

Nfs Server V3 Rename

UTILIZATION

False

Nfs Server V3 Commit

UTILIZATION

False

Nfs Server V3 Null per Minute

UTILIZATION

False

Number of CPUs

UTILIZATION

False

Page Major faults

UTILIZATION

False

Page Major faults per Second

UTILIZATION

False

Page Faults per Second

UTILIZATION

False

Percent Free Swap

UTILIZATION

False

Percent Free Memory

UTILIZATION

False

Percent Used Memory

UTILIZATION

True

Percent Used Swap

UTILIZATION

True

Page Faults

UTILIZATION

False

Running Processes

UTILIZATION

False

Sleeping Processes

UTILIZATION

False

Stopped Processes

UTILIZATION

False

Swap Pages Out per Minute

UTILIZATION

False

Swap Pages In per Minute

UTILIZATION

False

Swap Free

UTILIZATION

False

Swap Pages Out

UTILIZATION

False

Swap Used

UTILIZATION

False

Swap Total

UTILIZATION

False

Swap Pages In

UTILIZATION

False

System Cpu

UTILIZATION

False

System Cpu Time per Minute

UTILIZATION

False

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 1‑106. Solaris Metrics (Continued)
Name

Category

KPI

System Cpu Time

UTILIZATION

False

Total disk capacity

UTILIZATION

False

Total Processes

UTILIZATION

False

Total Memory

UTILIZATION

False

Total disk usage

UTILIZATION

False

User Cpu Time

UTILIZATION

False

User Cpu

UTILIZATION

False

User Cpu Time per Minute

UTILIZATION

False

Used Memory

UTILIZATION

False

Zombie Processes

UTILIZATION

False

Microsoft Windows Metrics
The Operating Systems Plug-in discovers the metrics for the Microsoft Windows object type. Microsoft
Windows Server 2012 R2 and 2008 R2 are supported.
Table 1‑107. Microsoft Windows Metrics

124

Name

Category

KPI

Resource Availability

AVAILABILITY

True

System Uptime

AVAILABILITY

False

Avg. Disk sec/Transfer

THROUGHPUT

False

File System Reads/Writes

THROUGHPUT

False

File System Reads/Writes per Minute

THROUGHPUT

False

Tcp Attempt Fails

THROUGHPUT

False

Tcp State Established

THROUGHPUT

False

Tcp Estab Resets per Minute

THROUGHPUT

False

Tcp Retrans Segs

THROUGHPUT

False

Tcp State LISTEN

THROUGHPUT

False

Tcp State CLOSING

THROUGHPUT

False

Tcp State SYN_SENT

THROUGHPUT

False

Tcp State TIME_WAIT

THROUGHPUT

False

Tcp State SYN_RECV

THROUGHPUT

False

Tcp In Errs per Minute

THROUGHPUT

False

Tcp Out Segs per Minute

THROUGHPUT

False

Tcp Passive Opens per Minute

THROUGHPUT

False

Tcp Out Segs

THROUGHPUT

False

Tcp Estab Resets

THROUGHPUT

False

Tcp Active Opens

THROUGHPUT

False

Tcp Outbound Connections

THROUGHPUT

False

Tcp Curr Estab

THROUGHPUT

False

Tcp In Errs

THROUGHPUT

False

VMware, Inc.

Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑107. Microsoft Windows Metrics (Continued)
Name

Category

KPI

Tcp Inbound Connections

THROUGHPUT

False

Tcp Active Opens per Minute

THROUGHPUT

False

Tcp Out Rsts per Minute

THROUGHPUT

False

Tcp In Segs

THROUGHPUT

False

Tcp Retrans Segs per Minute

THROUGHPUT

False

Tcp Passive Opens

THROUGHPUT

False

Tcp Out Rsts

THROUGHPUT

False

Tcp State FIN_WAIT1

THROUGHPUT

False

Tcp State FIN_WAIT2

THROUGHPUT

False

Tcp State CLOSE_WAIT

THROUGHPUT

False

Tcp In Segs per Minute

THROUGHPUT

False

Tcp State CLOSE

THROUGHPUT

False

Tcp State LAST_ACK

THROUGHPUT

False

Tcp Attempt Fails per Minute

THROUGHPUT

False

Cpu Idle Time

UTILIZATION

False

Cpu Idle Time per Minute

UTILIZATION

False

Cpu Usage

UTILIZATION

True

Free Memory

UTILIZATION

False

Memory Page Faults/sec

UTILIZATION

False

Memory System Driver Resident Bytes

UTILIZATION

False

Memory Available Bytes

UTILIZATION

False

Memory System Driver Total Bytes

UTILIZATION

False

Memory % Committed Bytes In Use

UTILIZATION

False

Memory Standby Cache Core Bytes

UTILIZATION

False

Memory Transition Pages RePurposed/sec

UTILIZATION

False

Memory Write Copies/sec

UTILIZATION

False

Memory Available KBytes

UTILIZATION

False

Memory Page Reads/sec

UTILIZATION

False

Memory Committed Bytes

UTILIZATION

False

Memory Pool Nonpaged Bytes

UTILIZATION

False

Memory System Code Resident Bytes

UTILIZATION

False

Memory Page Writes/sec

UTILIZATION

False

Memory Available MBytes

UTILIZATION

False

Memory Standby Cache Normal Priority Bytes

UTILIZATION

False

Memory Pages/sec

UTILIZATION

False

Memory Modified Page List Bytes

UTILIZATION

False

Memory Cache Faults/sec

UTILIZATION

False

Memory Pool Nonpaged Allocs

UTILIZATION

False

Memory System Code Total Bytes

UTILIZATION

False

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 1‑107. Microsoft Windows Metrics (Continued)

126

Name

Category

KPI

Memory Pool Paged Allocs

UTILIZATION

False

Memory Pages Input/sec

UTILIZATION

False

Memory Pool Paged Bytes

UTILIZATION

False

Memory Pool Paged Resident Bytes

UTILIZATION

False

Memory Cache Bytes

UTILIZATION

False

Memory Standby Cache Reserve Bytes

UTILIZATION

False

MemoryFreeSystemPageTableEntries

UTILIZATION

False

Memory Free %26 Zero Page List Bytes

UTILIZATION

False

Memory System Cache Resident Bytes

UTILIZATION

False

Memory Cache Bytes Peak

UTILIZATION

False

Memory Commit Limit

UTILIZATION

False

Memory Transition Faults/sec

UTILIZATION

False

Memory Pages Output/sec

UTILIZATION

False

Number of CPUs

UTILIZATION

False

Percent Free Swap

UTILIZATION

False

Percent Free Memory

UTILIZATION

False

Percent Used Memory

UTILIZATION

True

Percent Used Swap

UTILIZATION

True

Running Processes

UTILIZATION

False

Sleeping Processes

UTILIZATION

False

Stopped Processes

UTILIZATION

False

Swap Pages Out per Minute

UTILIZATION

False

Swap Pages In per Minute

UTILIZATION

False

Swap Free

UTILIZATION

False

Swap Pages Out

UTILIZATION

False

Swap Used

UTILIZATION

False

Swap Total

UTILIZATION

False

Swap Pages In

UTILIZATION

False

System Cpu

UTILIZATION

False

System Cpu Time per Minute

UTILIZATION

False

System Cpu Time

UTILIZATION

False

Total disk capacity

UTILIZATION

False

Total Processes

UTILIZATION

False

Total Memory

UTILIZATION

True

Total disk usage

UTILIZATION

False

User Cpu Time

UTILIZATION

False

User Cpu

UTILIZATION

False

User Cpu Time per Minute

UTILIZATION

False

VMware, Inc.

Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑107. Microsoft Windows Metrics (Continued)
Name

Category

KPI

Used Memory

UTILIZATION

False

Zombie Processes

UTILIZATION

False

Windows Service Metrics
The Operating Systems Plug-in discovers the metrics for Windows service.
Table 1‑108. Windows Services Metrics
Name

Category

KPI

Resource Availability

AVAILABILITY

True

Start Time

AVAILABILITY

False

Start Type

AVAILABILITY

False

Cpu User Time

UTILIZATION

False

Cpu Usage

UTILIZATION

True

Cpu Total Time per Minute

UTILIZATION

False

Cpu System Time per Minute

UTILIZATION

False

Cpu Total Time

UTILIZATION

False

Cpu User Time per Minute

UTILIZATION

False

Cpu System Time

UTILIZATION

False

Memory Size

UTILIZATION

True

Open Handles

UTILIZATION

False

Resident Memory Size

UTILIZATION

False

Threads

UTILIZATION

False

If you stop an End Point Operations Management agent by using Windows Services, and remove the data
directory from inside the agent installation directory, when you start the agent again, using Windows
Services, no metrics are collected. If you are deleting the data directory, do not use Windows Services to stop
and start an End Point Operations Management agent. Stop the agent using epops-agent.bat stop. Delete
the data directory, then start the agent using epops-agent.bat start.

Script Metrics
The Operating Systems Plug-in discovers the metrics for the Script service.
Table 1‑109. Script Metrics
Name

Category

KPI

Resource Availability

AVAILABILITY

True

Execution Time

THROUGHPUT

True

Result Value

UTILIZATION

True

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Multiprocess Service Metrics
The Operating Systems Plug-in discovers the metrics for the Multiprocess service.
Table 1‑110. Multiprocess Metrics
Name

Category

KPI

Resource Availability

AVAILABILITY

True

Cpu User Time

UTILIZATION

False

Cpu Usage

UTILIZATION

True

Cpu Total Time per Minute

UTILIZATION

False

Cpu System Time per Minute

UTILIZATION

False

Cpu Total Time

UTILIZATION

False

Cpu User Time per Minute

UTILIZATION

False

Cpu System Time

UTILIZATION

False

Memory Size

UTILIZATION

True

Number of Processes

UTILIZATION

False

Resident Memory Size

UTILIZATION

False

NFS Metrics
The End Point Operations Management agents collect metrics for the NFS-mounted file systems.
The following metrics are collected.
Name

Category

Resource Availability

Availability

Use Percent (%)

Utilization

Total Bytes Free (KB)

Utilization

Remote Service Monitoring Plug-in Metrics
The Remote Service Monitoring plug-in collects metrics for object types such HTTP Check, TCP Check, and
ICMP Check.

HTTP Check Metrics
The Remote Service Monitoring Plug-in discovers the metrics for the HTTP Check object type.
Table 1‑111. HTTP Check Metrics

128

Name

Category

KPI

Resource Availability

AVAILABILITY

True

Last Modified

AVAILABILITY

False

State CLOSE

THROUGHPUT

False

State CLOSE_WAIT

THROUGHPUT

False

State ESTABLISHED

THROUGHPUT

False

Inbound Connections

THROUGHPUT

False

State TIME_WAIT

THROUGHPUT

False

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Chapter 1 Metric Definitions in vRealize Operations Manager

Table 1‑111. HTTP Check Metrics (Continued)
Name

Category

KPI

All Inbound Connections

THROUGHPUT

False

State SYN_SENT

THROUGHPUT

False

State FIN_WAIT2

THROUGHPUT

False

Outbound Connections

THROUGHPUT

False

State LAST_ACK

THROUGHPUT

False

Response Time

THROUGHPUT

True

State CLOSING

THROUGHPUT

False

All Outbound Connections

THROUGHPUT

False

State SYN_RECV

THROUGHPUT

False

State FIN_WAIT1

THROUGHPUT

False

Response Code

UTILIZATION

True

ICMP Check Metrics
The Remote Service Monitoring Plug-in discovers the metrics for the ICMP Check object type.
Table 1‑112. ICMP Check Metrics
Name

Category

KPI

Resource Availability

AVAILABILITY

True

Response Time

THROUGHPUT

True

TCP Check Metrics
The Remote Service Monitoring Plug-in discovers the metrics for the TCP Check object type.
Table 1‑113. TCP Check Metrics
Name

Category

KPI

Resource Availability

AVAILABILITY

True

Response Time

THROUGHPUT

True

State CLOSE

THROUGHPUT

False

State CLOSE_WAIT

THROUGHPUT

False

State ESTABLISHED

THROUGHPUT

False

Inbound Connections

THROUGHPUT

False

State TIME_WAIT

THROUGHPUT

False

All Inbound Connections

THROUGHPUT

False

State SYN_SENT

THROUGHPUT

False

State FIN_WAIT2

THROUGHPUT

False

Outbound Connections

THROUGHPUT

False

State LAST_ACK

THROUGHPUT

False

State CLOSING

THROUGHPUT

False

All Outbound Connections

THROUGHPUT

False

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 1‑113. TCP Check Metrics (Continued)

130

Name

Category

KPI

State SYN_RECV

THROUGHPUT

False

State FIN_WAIT1

THROUGHPUT

False

VMware, Inc.

Property Definitions in vRealize
Operations Manager

2

Properties are attributes of objects in the vRealize Operations Manager environment. You use properties in
symptom definitions. You can also use properties in dashboards, views, and reports.
vRealize Operations Manager uses adapters to collect properties for target objects in your environment.
Property definitions for all objects connected through the vCenter adapter are provided. The properties
collected depend on the objects in your environment.
You can add symptoms based on properties to an alert definition so that you are notified if a change occurs
to properties on your monitored objects. For example, disk space is a hardware property of a virtual
machine. You can use disk space to define a symptom that warns you when the value falls below a certain
numeric value. See the vRealize Operations Manager User Guide.
vRealize Operations Manager generates Object Type Classification and Subclassification properties for every
object. You can use object type classification properties to identify whether an object is an adapter instance,
custom group, application, tier, or a general object with property values ADAPTER_INSTANCE, GROUP,
BUSINESS_SERVICE, TIER, or GENERAL, respectively.
This chapter includes the following topics:
n

“Properties for vCenter Server Components,” on page 131

n

“Self-Monitoring Properties for vRealize Operations Manager,” on page 144

n

“Properties for vSAN,” on page 146

Properties for vCenter Server Components
The VMware vSphere solution is installed with vRealize Operations Managerand includes the vCenter
adapter. vRealize Operations Manager uses the vCenter adapter to collect properties for objects in the
vCenter Server system.
vCenter Server components are listed in the describe.xml file for the vCenter adapter. The following
example shows the runtime property memoryCap or Memory Capacity for the virtual machine in the
describe.xml.




The ResourceAttribute element includes the name of the property that appears in the UI and is documented
as a Property Key. isProperty = "true" indicates that ResourceAttribute is a property.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

vCenter Server Properties
vRealize Operations Manager collects summary and event properties for vCenter Server system objects.
Table 2‑1. Summary Properties Collected for vCenter Server System Objects
Property Key

Property Name

Description

summary|version

Version

Version

summary|vcuuid

VirtualCenter ID

Virtual Center ID

summary|vcfullname

Product Name

Product Name

Table 2‑2. Event Properties Collected for vCenter Server System Objects
Property Key

Property Name

Description

event|time

Last VC Event Time

Last Virtual Center Event Time

event|key

Last VC Event ID

Last Virtual Center Event ID

Table 2‑3. Custom Field Manager Property Collected for vCenter Server System Objects
Property Key

Property Name

Description

CustomFieldManager|CustomFieldDef

Custom Field Def

Custom Field Def for VCenter Tagging
information at Adapter level.

Virtual Machine Properties
vRealize Operations Manager collects configuration, runtime, CPU, memory, network I/O, summary, guest
file system, and properties about datastore use for virtual machine objects.
Table 2‑4. vRealize Automation Properties Collected for Virtual Machine Objects
Property Key

Property Name

Description

vRealize Automation|Blueprint Name

Blueprint Name

Virtual machines deployed byvRealize Automation to be
excluded from workload placements.

Table 2‑5. Properties Collected for Virtual Machine Objects to Support VIN Adapter Localization
Property Key

Property Name

Description

RunsOnApplicationComponents

Application components
running on the Virtual
Machine

Application components running on the
Virtual Machine

DependsOnApplicationComponents

Application components the
Virtual Machine depends on

Application components running on other
machines that this Virtual Machine depends
on.

Table 2‑6. Configuration Properties Collected for Virtual Machine Objects

132

Property Key

Property Name

Description

config|name

Name

Name

config|guestFullName

Guest Fullname

Guest OS full name configured by the
user.

config|hardware|numCpu

Number of virtual CPUs

Number of virtual CPUs

config|hardware|memoryKB

Memory

Memory

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Chapter 2 Property Definitions in vRealize Operations Manager

Table 2‑6. Configuration Properties Collected for Virtual Machine Objects (Continued)
Property Key

Property Name

Description

config|hardware|thinEnabled

Thin Provisioned Disk

Indicates whether thin provisioning is
enabled

config|hardware|diskSpace

Disk Space

Disk Space

config|cpuAllocation|reservation

Reservation

CPU reservation

config|cpuAllocation|limit

Limit

CPU limit

config|cpuAllocation|shares|shares

Shares

CPU shares

config|memoryAllocation|reservation

Reservation

CPU reservation

config|memoryAllocation|limit

Limit

Limit

config|memoryAllocation|shares|shares

Shares

Memory shares

config|extraConfig|mem_hotadd

Memory Hot Add

Memory Hot Add Configuration

config|extraConfig|vcpu_hotadd

VCPU Hot Add

VCPU Hot Add Configuration

config|extraConfig|vcpu_hotremove

VCPU Hot Remove

VCPU Hot Remove Configuration

config|security|disable_autoinstall

Disable tools auto install
(isolation.tools.autoInstall.disable)

Disable tools auto install
(isolation.tools.autoInstall.disable)

config|security|disable_console_copy

Disable console copy operations
(isolation.tools.copy.disable)

Disable console copy operations
(isolation.tools.copy.disable)

config|security|disable_console_dnd

Disable console drag and drop
operations
(isolation.tools.dnd.disable)

Disable console drag and drop
operations
(isolation.tools.dnd.disable)

config|security|
enable_console_gui_options

Enable console GUI operations
(isolation.tools.setGUIOptions.ena
ble)

Enable console GUI operations
(isolation.tools.setGUIOptions.enable)

config|security|disable_console_paste

Disable console paste operations
(isolation.tools.paste.disable)

Disable console paste operations
(isolation.tools.paste.disable)

config|security|
disable_disk_shrinking_shrink

Disable virtual disk shrink
(isolation.tools.diskShrink.disable)

Disable virtual disk shrink
(isolation.tools.diskShrink.disable)

config|security|
disable_disk_shrinking_wiper

Disable virtual disk wiper
(isolation.tools.diskWiper.disable)

Disable virtual disk wiper
(isolation.tools.diskWiper.disable)

config|security|disable_hgfs

Disable HGFS file transfers
(isolation.tools.hgfsServerSet.disab
le)

Disable HGFS file transfers
(isolation.tools.hgfsServerSet.disable)

config|security|
disable_independent_nonpersistent

Avoid using independent
nonpersistent disks (scsiX:Y.mode)

Avoid using independent
nonpersistent disks (scsiX:Y.mode)

config|security|enable_intervm_vmci

Enable VM-to-VM communication
through VMCI
(vmci0.unrestricted)

Enable VM-to-VM communication
through VMCI (vmci0.unrestricted)

config|security|enable_logging

Enable VM logging (logging)

Enable VM logging (logging)

config|security|disable_monitor_control

Disable VM Monitor Control
(isolation.monitor.control.disable)

Disable VM Monitor Control
(isolation.monitor.control.disable)

config|security|
enable_non_essential_3D_features

Enable 3D features on Server and
desktop virtual machines
(mks.enable3d)

Enable 3D features on Server and
desktop virtual machines
(mks.enable3d)

config|security|
disable_unexposed_features_autologon

Disable unexposed features autologon
(isolation.tools.ghi.autologon.disa
ble)

Disable unexposed features autologon
(isolation.tools.ghi.autologon.disable)

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 2‑6. Configuration Properties Collected for Virtual Machine Objects (Continued)

134

Property Key

Property Name

Description

config|security|
disable_unexposed_features_biosbbs

Disable unexposed features biosbbs (isolation.bios.bbs.disable)

Disable unexposed features - biosbbs
(isolation.bios.bbs.disable)

config|security|
disable_unexposed_features_getcreds

Disable unexposed features getcreds
(isolation.tools.getCreds.disable)

Disable unexposed features - getcreds
(isolation.tools.getCreds.disable)

config|security|
disable_unexposed_features_launchmenu

Disable unexposed features launchmenu
(isolation.tools.ghi.launchmenu.ch
ange)

Disable unexposed features launchmenu
(isolation.tools.ghi.launchmenu.chang
e)

config|security|
disable_unexposed_features_memsfss

Disable unexposed features memsfss
(isolation.tools.memSchedFakeSa
mpleStats.disable)

Disable unexposed features - memsfss
(isolation.tools.memSchedFakeSampl
eStats.disable)

config|security|
disable_unexposed_features_protocolhand
ler

Disable unexposed features protocolhandler
(isolation.tools.ghi.protocolhandle
r.info.disable)

Disable unexposed features protocolhandler
(isolation.tools.ghi.protocolhandler.in
fo.disable)

config|security|
disable_unexposed_features_shellaction

Disable unexposed features shellaction
(isolation.ghi.host.shellAction.disa
ble)

Disable unexposed features shellaction
(isolation.ghi.host.shellAction.disable
)

config|security|
disable_unexposed_features_toporequest

Disable unexposed features toporequest
(isolation.tools.dispTopoRequest.d
isable)

Disable unexposed features toporequest
(isolation.tools.dispTopoRequest.disa
ble)

config|security|
disable_unexposed_features_trashfolderst
ate

Disable unexposed features trashfolderstate
(isolation.tools.trashFolderState.di
sable)

Disable unexposed features trashfolderstate
(isolation.tools.trashFolderState.disab
le)

config|security|
disable_unexposed_features_trayicon

Disable unexposed features trayicon
(isolation.tools.ghi.trayicon.disabl
e)

Disable unexposed features - trayicon
(isolation.tools.ghi.trayicon.disable)

config|security|
disable_unexposed_features_unity

Disable unexposed features - unity
(isolation.tools.unity.disable)

Disable unexposed features - unity
(isolation.tools.unity.disable)

config|security|
disable_unexposed_features_unity_interlo
ck

Disable unexposed features unity-interlock
(isolation.tools.unityInterlockOper
ation.disable)

Disable unexposed features - unityinterlock
(isolation.tools.unityInterlockOperati
on.disable)

config|security|
disable_unexposed_features_unity_taskba
r

Disable unexposed features unity-taskbar
(isolation.tools.unity.taskbar.disabl
e)

Disable unexposed features - unitytaskbar
(isolation.tools.unity.taskbar.disable)

config|security|
disable_unexposed_features_unity_unitya
ctive

Disable unexposed features unity-unityactive
(isolation.tools.unityActive.disable
)

Disable unexposed features - unityunityactive
(isolation.tools.unityActive.disable)

config|security|
disable_unexposed_features_unity_windo
wcontents

Disable unexposed features unity-windowcontents
(isolation.tools.unity.windowCont
ents.disable)

Disable unexposed features - unitywindowcontents
(isolation.tools.unity.windowContent
s.disable)

VMware, Inc.

Chapter 2 Property Definitions in vRealize Operations Manager

Table 2‑6. Configuration Properties Collected for Virtual Machine Objects (Continued)
Property Key

Property Name

Description

config|security|
disable_unexposed_features_unitypush

Disable unexposed features unitypush
(isolation.tools.unity.push.update.
disable)

Disable unexposed features unitypush
(isolation.tools.unity.push.update.disa
ble)

config|security|
disable_unexposed_features_versionget

Disable unexposed features versionget
(isolation.tools.vmxDnDVersionGe
t.disable)

Disable unexposed features versionget
(isolation.tools.vmxDnDVersionGet.d
isable)

config|security|
disable_unexposed_features_versionset

Disable unexposed features versionset
(solation.tools.guestDnDVersionSe
t.disable)

Disable unexposed features versionset
(solation.tools.guestDnDVersionSet.di
sable)

config|security|disable_vix_messages

Disable VIX messages from the
VM
(isolation.tools.vixMessage.disable
)

Disable VIX messages from the VM
(isolation.tools.vixMessage.disable)

config|security|enable_vga_only_mode

Disable all but VGA mode on
virtual machines (svga.vgaOnly)

Disable all but VGA mode on virtual
machines (svga.vgaOnly)

config|security|limit_console_connection

Limit number of console
connections
(RemoteDisplay.maxConnection)

Limit number of console connections
(RemoteDisplay.maxConnection)

config|security|limit_log_number

Limit number of log files
(log.keepOld)

Limit number of log files
(log.keepOld)

config|security|limit_log_size

Limit log file size (log.rotateSize)

Limit log file size (log.rotateSize)

config|security|limit_setinfo_size

Limit VMX file size
(tools.setInfo.sizeLimit)

Limit VMX file size
(tools.setInfo.sizeLimit)

config|security|enable_console_VNC

Enable access to VM console via
VNC protocol
(RemoteDisplay.vnc.enabled)

Enable access to VM console via VNC
protocol (RemoteDisplay.vnc.enabled)

config|security|
disable_device_interaction_connect

Disable unauthorized removal,
connection of devices
(isolation.device.connectable.disab
le)

Disable unauthorized removal,
connection of devices
(isolation.device.connectable.disable)

config|security|
disable_device_interaction_edit

Disable unauthorized modification
of devices
(isolation.device.edit.disable)

Disable unauthorized modification of
devices (isolation.device.edit.disable)

config|security|enable_host_info

Enable send host information to
guests
(tools.guestlib.enableHostInfo)

Enable send host information to
guests (tools.guestlib.enableHostInfo)

config|security|network_filter_enable

Enable dvfilter network APIs
(ethernetX.filterY.name)

Enable dvfilter network APIs
(ethernetX.filterY.name)

config|security|
vmsafe_cpumem_agentaddress

VMsafe CPU/memory APIs - IP
address (vmsafe.agentAddress)

VMsafe CPU/memory APIs - IP
address (vmsafe.agentAddress)

config|security|
vmsafe_cpumem_agentport

VMsafe CPU/memory APIs - port
number (vmsafe.agentPort)

VMsafe CPU/memory APIs - port
number (vmsafe.agentPort)

config|security|vmsafe_cpumem_enable

Enable VMsafe CPU/memory APIs
(vmsafe.enable)

Enable VMsafe CPU/memory APIs
(vmsafe.enable)

config|security|
disconnect_devices_floppy

Disconnect floppy drive

Disconnect floppy drive

config|security|disconnect_devices_cd

Disconnect CD-ROM

Disconnect CD-ROM

config|security|disconnect_devices_usb

Disconnect USB controller

Disconnect USB controller

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 2‑6. Configuration Properties Collected for Virtual Machine Objects (Continued)
Property Key

Property Name

Description

config|security|
disconnect_devices_parallel

Disconnect parallel port

Disconnect parallel port

config|security|disconnect_devices_serial

Disconnect serial port

Disconnect serial port

Note Security properties not collected by default. They are collected only if the vSphere Hardening Guide
policy is applied to the objects, or if the vSphere Hardening Guide alerts are manually enabled in the currently
applied policy.
For more information on the vSphere Hardening Guide alerts, see the vRealize Operations Manager User Guide.
Table 2‑7. Runtime Properties Collected for Virtual Machine Objects
Property Key

Property Name

Description

runtime|memoryCap

Memory Capacity

Memory Capacity

Table 2‑8. CPU Usage Properties Collected for Virtual Machine Objects
Property Key

Property Name

Description

cpu|limit

CPU limit

CPU limit

cpu|reservation

CPU reservation

CPU reservation

cpu|speed

CPU

CPU Speed

cpu|cpuModel

CPU Model

CPU Model

Table 2‑9. Memory Properties Collected for Virtual Machine Objects
Property Key

Property Name

Description

mem|host_reservation

VM Reservation

Mem Machine Reservation

mem|host_limit

VM Limit

Mem Machine Limit

Table 2‑10. Network Properties Collected for Virtual Machine Objects
Property Key

Property Name

Description

net|mac_address

Mac Address

Mac Address

net|ip_address

IP Address

IP Address

net|subnet_mask

Subnet Mask

Subnet Mask

net|default_gateway

Default Gateway

Default Gateway

net|nvp_vm_uuid

NVP VM UUID

NVP VM UUID

Table 2‑11. Summary Properties Collected for Virtual Machine Objects

136

Property Key

Property Name

Description

summary|customTag|customTagValue

Value

Custom Tag Value

summary|tag

vSphere Tag

vSphere Tag Name

summary|parentCluster

Parent Cluster

Parent Cluster

summary|parentHost

Parent Host

Parent Host

summary|parentDatacenter

Parent Datacenter

Parent Datacenter

summary|parentVcenter

Parent Vcenter

Parent Vcenter

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Chapter 2 Property Definitions in vRealize Operations Manager

Table 2‑11. Summary Properties Collected for Virtual Machine Objects (Continued)
Property Key

Property Name

Description

summary|guest|fullName

Guest OS Full Name

Guest OS Full Name as identified by VMware
tools

summary|guest|ipAddress

Guest OS IP Address

Guest OS IP Address

summary|guest|toolsRunningStatus

Tools Running Status

Guest Tools Running Status

summary|guest|toolsVersionStatus2

Tools Version Status

Guest Tools Version Status 2

summary|guest|
vrealize_operations_agent_id

vRealize Operations Agent
ID

An ID to identify a VM in Agent Adapter's
world

summary|guest|
vrealize_operations_euc_agent_id

vRealize Operations Euc
Agent ID

An ID to identify a VM in Agent Adapter's
world

summary|config|numEthernetCards

Number of NICs

Number of NICs

summary|config|isTemplate

VM Template

Indicates whether it is a VM Template

summary|runtime|powerState

Power State

Power State

summary|runtime|connectionState

Connection State

Connection State

Table 2‑12. Datastore Properties Collected for Virtual Machine Objects
Property Key

Property Name

Description

datastore|
maxObservedNumberRead

Highest Observed Number of Read
Requests

Highest Observed Number of Read
Requests

datastore|maxObservedRead

Highest Observed Read Rate

Highest Observed Read Rate (KBps)

datastore|
maxObservedNumberWrite

Highest Observed Number of Write
Requests

Highest Observed Number of Write
Requests

datastore|maxObservedWrite

Highest Observed Write Rate

Highest Observed Write Rate (KBps)

datastore|maxObservedOIO

Highest Observed Outstanding
Requests

Highest Observed Outstanding Requests

Table 2‑13. Guest File System Properties Collected for Virtual Machine Objects
Property Key

Property Name

Description

guestfilesystem|capacity_property

Guest File System Capacity Property

Total capacity of guest file system as a
property, reported for each file system.

guestfilesystem|
capacity_property_total

Total Guest File System Capacity
Property

Overall total capacity of guest file system
as a property, reported across all file
systems.

Host System Properties
vRealize Operations Manager collects configuration, hardware, runtime, CPU, network I/O, summary, and
properties about datastore use for host system objects.
Table 2‑14. Configuration Properties Collected for Host System Objects
Property Key

Property Name

Description

config|name

Name

Name

config|diskSpace

Disk Space

Disk Space

config|network|nnic

Number of NICs

Number of NICs

config|network|linkspeed

Average Physical NIC Speed

Average Physical NIC Speed

VMware, Inc.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 2‑14. Configuration Properties Collected for Host System Objects (Continued)

138

Property Key

Property Name

Description

config|network|dnsserver

DNS Server

List of DNS Servers

config|product|productLineId

Product Line ID

Product Line ID

config|product|apiVersion

API Version

API Version

config|storageDevice|plugStoreTopology|
numberofPath

Total number of Path

Total number of storage paths

config|storageDevice|multipathInfo|
numberofActivePath

Total number of Active Path

Total number of active storage paths

config|storageDevice|multipathInfo|
multipathPolicy

Multipath Policy

Multipath Policy

config|hyperThread|available

Available

Indicates whether hyperthreading is
supported by the server

config|hyperThread|active

Active

Indicates whether hyperthreading is
active

config|ntp|server

NTP Servers

NTP Servers

config|security|ntpServer

NTP server

NTP server

config|security|enable_ad_auth

Enable active directory
authentication

Enable active directory authentication

config|security|enable_chap_auth

Enable mutual chap
authentication

Enable mutual chap authentication

config|security|enable_auth_proxy

Enable authentication proxy
(UserVars.ActiveDirectoryVerifyC
AMCertificate)

Enable authentication proxy
(UserVars.ActiveDirectoryVerifyCAM
Certificate)

config|security|syslog_host

Remote log host
(Syslog.global.logHost)

Remote log host
(Syslog.global.logHost)

config|security|dcui_access

Users who can override lock down
mode and access the DCUI
(DCUI.Access)

Users who can override lock down
mode and access the DCUI
(DCUI.Access)

config|security|shell_interactive_timeout

Shell interactive timeout
(UserVars.ESXiShellInteractiveTim
eOut)

Shell interactive timeout
(UserVars.ESXiShellInteractiveTimeO
ut)

config|security|shell_timeout

Shell timeout
(UserVars.ESXiShellTimeOut)

Shell timeout
(UserVars.ESXiShellTimeOut)

config|security|dvfilter_bind_address

Dvfilter bind ip address
(Net.DVFilterBindIpAddress)

Dvfilter bind ip address
(Net.DVFilterBindIpAddress)

config|security|syslog_dir

Log directory
(Syslog.global.logDir)

Log directory (Syslog.global.logDir)

config|security|firewallRule|
allowedHosts

Allowed hosts

Allowed hosts in the firewall
configuration

config|security|service|isRunning

Running

Indicates whether a service is running
or not. Services are: Direct Console
UI, ESXi shell, SSH, or NTP Daemon.

config|security|service|ruleSet

Ruleset

Ruleset for each service.

config|security|service|policy

Policy

Policy for each service.

VMware, Inc.

Chapter 2 Property Definitions in vRealize Operations Manager

Note Security properties not collected by default. They are collected only if the vSphere Hardening Guide
policy is applied to the objects, or if the vSphere Hardening Guide alerts are manually enabled in the currently
applied policy.
For more information on the vSphere Hardening Guide alerts, see the vRealize Operations Manager User Guide.
Table 2‑15. Hardware Properties Collected for Host System Objects
Property Key

Property Name

Description

hardware|memorySize

Memory Size

Memory Size

hardware|cpuInfo|numCpuCores

Number of CPU Cores

Number of CPU Cores

hardware|cpuInfo|hz

CPU Speed per Core

CPU Speed per Core

hardware|cpuInfo|
numCpuPackages

Number of CPU Packages

Number of CPU Packages

hardware|cpuInfo|
powerManagementPolicy

Active CPU Power Management Policy

Active CPU Power Management Policy

hardware|cpuInfo|
powerManagementTechnology

Power Management Technology

Power Management Technology

hardware|cpuInfo|biosVersion

BIOS Version

BIOS Version

Table 2‑16. Runtime Properties Collected for Host System Objects
Property Key

Property Name

Description

runtime|connectionState

Connection State

Connection State

runtime|powerState

Power State

Power State

runtime|maintenanceState

Maintenance State

Maintenance State

runtime|memoryCap

Memory Capacity

Memory Capacity

Table 2‑17. Configuration Manager Properties Collected for Host System Objects
Property Key

Property Name

Description

configManager|memoryManager|
consoleReservationInfo|
serviceConsoleReserved

Service Console Reserved

Service console reserved memory

Table 2‑18. CPU Usage Properties Collected for Host System Objects
Property Key

Property Name

Description

cpu|speed

CPU

CPU Speed

cpu|cpuModel

CPU Model

CPU Model

Table 2‑19. Network Properties Collected for Host System Objects
Property Key

Property Name

Description

net|maxObservedKBps

Highest Observed Throughput

Highest Observed Throughput (KBps)

net|mgmt_address

Management Address

Management Address

net|ip_address

IP Address

IP Address

net|discoveryProtocol|cdp|
managementIpAddress

Management IP Address

Management IP Address

net|discoveryProtocol|cdp|
systemName

System Name

System Name

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Table 2‑19. Network Properties Collected for Host System Objects (Continued)
Property Key

Property Name

Description

net|discoveryProtocol|cdp|
portName

Port Name

Port Name

net|discoveryProtocol|cdp|vlan

VLAN

VLAN

net|discoveryProtocol|cdp|mtu

MTU

MTU

net|discoveryProtocol|cdp|
hardwarePlatform

Hardware Platform

Hardware Platform

net|discoveryProtocol|cdp|
softwareVersion

Software Version

Software Version

net|discoveryProtocol|cdp|
timeToLive

Time to Live

Time to Live

net|discoveryProtocol|lldp|
managementIpAddress

Management IP Address

Management IP Address

net|discoveryProtocol|lldp|
systemName

System Name

System Name

net|discoveryProtocol|lldp|
portName

Port Name

Port Name

net|discoveryProtocol|lldp|vlan

VLAN

VLAN

net|discoveryProtocol|lldp|
timeToLive

Time to Live

Time to Live

Table 2‑20. System Properties Collected for Host System Objects
Property Key

Property Name

Description

sys|build

Build number

VMWare build number

sys|productString

Product String

VMWare product string

Table 2‑21. Summary Properties Collected for Host System Objects
Property Key

Property Name

Description

summary|version

Version

Version

summary|hostuuid

Host UUID

Host UUID

summary|evcMode

Current EVC Mode

Current EVC Mode

summary|customTag|customTagValue

Value

Custom Tag Value

summary|tag

vSphere Tag

vSphere Tag Name

summary|parentCluster

Parent Cluster

Parent Cluster

summary|parentDatacenter

Parent Datacenter

Parent Datacenter

summary|parentVcenter

Parent Vcenter

Parent Vcenter

Table 2‑22. Datastore Properties Collected for Host System Objects

140

Property Key

Property Name

Description

datastore|
maxObservedNumberRead

Highest Observed Number of Read
Requests

Highest Observed Number of Read
Requests

datastore|maxObservedRead

Highest Observed Read Rate

Highest Observed Read Rate (KBps)

datastore|
maxObservedNumberWrite

Highest Observed Number of Write
Requests

Highest Observed Number of Write
Requests

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Chapter 2 Property Definitions in vRealize Operations Manager

Table 2‑22. Datastore Properties Collected for Host System Objects (Continued)
Property Key

Property Name

Description

datastore|maxObservedWrite

Highest Observed Write Rate

Highest Observed Write Rate (KBps)

datastore|maxObservedOIO

Highest Observed Outstanding
Requests

Highest Observed Outstanding Requests

Cluster Compute Resource Properties
vRealize Operations Manager collects configuration and summary properties for cluster compute resource
objects.
Table 2‑23. Configuration Properties Collected for Cluster Compute Resource Objects
Property Key

Property Name

Description

config|name

Name

Name

Table 2‑24. Summary Properties Collected for Cluster Compute Resource Objects
Property Key

Property Name

Description

summary|parentDatacenter

Parent Datacenter

Parent Datacenter

summary|parentVcenter

Parent Vcenter

Parent Vcenter

summary|customTag|customTagValue

Value

Custom Tag Value

summary|tag

vSphere Tag

vSphere Tag Name

Table 2‑25. DR, DAS, and DPM Configuration Properties Collected for Cluster Compute Resource Objects
Property Key

Property Name

Description

configuration|drsconfig|enabled

Enabled

Indicates whether DRS is enabled

configuration|drsconfig|
defaultVmBehavior

Default DRS Behaviour

Default DRS Behaviour

configuration|drsconfig|affinityRules

Affinity Rules

DRS Affinity Rules

configuration|dasconfig|enabled

HA Enabled

HA Enabled

configuration|dasconfig|
admissionControlEnabled

Admission Control Enabled

Admission Control Enabled

configuration|dpmconfiginfo|enabled

DPM Enabled

DPM Enabled

configuration|dpmconfiginfo|
defaultDpmBehavior

Default DPM Behaviour

Default DPM Behaviour

DRS properties are collected for disaster recovery. DAS properties are collected for high availability service,
formerly distributed availability service. DPM properties are collected for distributed power management.

Resource Pool Properties
vRealize Operations Manager collects configuration, CPU, memory, and summary properties for resource
pool objects.
Table 2‑26. Configuration Properties Collected for Resource Pool Objects
Property Key

Property Name

Description

config|name

Name

Name

config|cpuAllocation|reservation

Reservation

CPU reservation

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Table 2‑26. Configuration Properties Collected for Resource Pool Objects (Continued)
Property Key

Property Name

Description

config|cpuAllocation|limit

Limit

CPU limit

config|cpuAllocation|
expandableReservation

Expandable Reservation

CPU expandable reservation

config|cpuAllocation|shares|shares

Shares

CPU shares

config|memoryAllocation|reservation

Reservation

Memory reservation

config|memoryAllocation|limit

Limit

Memory limit

config|memoryAllocation|
expandableReservation

Expandable Reservation

Memory expandable reservation

config|memoryAllocation|shares|shares

Shares

Memory shares

Table 2‑27. CPU Usage Properties Collected for Resource Pool Objects
Property Key

Property Name

Description

cpu|limit

CPU Limit

CPU Limit

cpu|reservation

CPU reservation

CPU Reservation

cpu|expandable_reservation

CPU expandable reservation

CPU Expandable Reservation

cpu|shares

CPU Shares

CPU Shares

cpu|corecount_provisioned

Provisioned vCPU(s)

Provisioned vCPU(s)

Table 2‑28. Memory Properties Collected for Resource Pool Objects
Property Key

Property Name

Description

mem|limit

Memory limit

Memory limit

mem|reservation

Memory reservation

Memory reservation

mem|expandable_reservation

Memory expandable reservation

Memory expandable reservation

mem|shares

Memory Shares

Memory Shares

Table 2‑29. Summary Properties Collected for Resource Pool Objects
Property Key

Property Name

Description

summary|customTag|customTagValue

Value

Custom Tag Value

summary|tag

vSphere Tag

vSphere Tag Name

Data Center Properties
vRealize Operations Manager collects configuration and summary properties for data center objects.
Table 2‑30. Configuration Properties Collected for Data Center Objects

142

Property Key

Property Name

Description

config|name

Name

Name

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Table 2‑31. Summary Properties Collected for Data Center Objects
Property Key

Property Name

Description

summary|parentVcenter

Parent Vcenter

Parent Vcenter

summary|customTag|customTagValue

Value

Custom Tag Value

summary|tag

vSphere Tag

vSphere Tag Name

Storage Pod Properties
vRealize Operations Manager collects configuration and summary properties for storage pod objects.
Table 2‑32. Configuration Properties Collected for Storage Pod Objects
Property Key

Property Name

Description

config|name

Name

Name

config|sdrsconfig|
vmStorageAntiAffinityRules

VM storage antiaffinity rules

Storage Distributed Resource Scheduler
(SDRS) VM anti-affinity rules

config|sdrsconfig|
vmdkAntiAffinityRules

VMDK antiaffinity rules

Storage Distributed Resource Scheduler
(SDRS) Virtual Machine Disk (VMDK) antiaffinity rules

VMware Distributed Virtual Switch Properties
vRealize Operations Manager collects configuration and summary properties for VMware distributed
virtual switch objects.
Table 2‑33. Configuration Properties Collected for VMware Distributed Virtual Switch Objects
Property Key

Property Name

Description

config|name

Name

Name

Table 2‑34. Capability Properties Collected for VMware Distributed Virtual Switch Objects
Property Key

Property Name

Description

capability|nicTeamingPolicy

NIC Teaming Policy

NIC Teaming Policy

Distributed Virtual Port Group Properties
vRealize Operations Manager collects configuration and summary properties for distributed virtual port
group objects.
Table 2‑35. Configuration Properties Collected for Distributed Virtual Port Group Objects
Property Key

Property Name

Description

config|name

Name

Name

Table 2‑36. Summary Properties Collected for Distributed Virtual Port Group Objects
Property Key

Property Name

Description

summary|active_uplink_ports

Active DV uplinks

Active DV uplinks

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Datastore Properties
vRealize Operations Manager collects configuration, summary, and properties about datastore use for
datastore objects.
Table 2‑37. Configuration Properties Collected for Datastore Objects
Property Key

Property Name

Description

config|name

Name

Name

Table 2‑38. Summary Properties Collected for Datastore Objects
Property Key

Property Name

Description

summary|diskCapacity

Disk Capacity

Disk Capacity

summary|isLocal

Is Local

Is local datastore

summary|customTag|customTagValue

Value

Custom Tag Value

summary|accessible

Datastore Accessible

Datastore Accessible

Table 2‑39. Datastore Properties Collected for Datastore Objects
Property Key

Property Name

Description

datastore|hostcount

Host Count

Host Count

datastore|hostScsiDiskPartition

Host SCSI Disk Partition

Host SCSI Disk Partition

datastore|
maxObservedNumberRead

Highest Observed Number of Read
Requests

Highest Observed Number of Read
Requests

datastore|maxObservedRead

Highest Observed Read Rate

Highest Observed Read Rate (KBps)

datastore|
maxObservedReadLatency

Highest Observed Read Latency

Highest Observed Read Latency

datastore|
maxObservedNumberWrite

Highest Observed Number of Write
Requests

Highest Observed Number of Write
Requests

datastore|maxObservedWrite

Highest Observed Write Rate

Highest Observed Write Rate (KBps)

datastore|
maxObservedWriteLatency

Highest Observed Write Latency

Highest Observed Write Latency

datastore|maxObservedOIO

Highest Observed Outstanding
Requests

Highest Observed Outstanding Requests

Self-Monitoring Properties for vRealize Operations Manager
vRealize Operations Manager uses the vRealize Operations Manager adapter to collect properties that
monitor its own objects. These self-monitoring properties are useful for monitoring changes within
vRealize Operations Manager.

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Chapter 2 Property Definitions in vRealize Operations Manager

Analytics Properties
vRealize Operations Manager collects properties for the vRealize Operations Manager analytics service.
Table 2‑40. Properties Collected for Analytics Service Objects
Property Key

Property Name

Description

HAEnabled

HA Enabled

Indicates HA is enabled with a value of 1,
disabled with a value of 0.

ControllerDBRole

Role

Indicates persistence service role for the
controller: 0 – Master, 1 – Replica, 4 – Client..

ShardRedundancyLevel

Shard redundancy level

The target number of redundant copies for
Object data.

LocatorCount

Locator Count

The number of configured locators in the
system

ServersCount

Servers Count

The number of configured servers in the
system

Node Properties
vRealize Operations Manager collects properties for the vRealize Operations Manager node objects.
Table 2‑41. Configuration Properties Collected for Node Objects
Property Key

Property Name

Description

config|numCpu

Number of CPU

Number of CPUs

config|numCoresPerCpu

Number of cores per CPU

Number of cores per CPU

config|coreFrequency

Core Frequency

Core Frequency

Table 2‑42. Memory Properties Collected for Node Objects
Property Key

Property Name

Description

mem|RAM

System RAM

System RAM

Table 2‑43. Service Properties Collected for Node Objects
Property Key

Property Name

Description

service|proc|pid

Process ID

Process ID

Remote Collector Properties
vRealize Operations Manager collects properties for the vRealize Operations Manager remote collector
objects.
Table 2‑44. Configuration Properties Collected for Remote Collector Objects
Property Key

Property Name

Description

config|numCpu

Number of CPU

Number of CPUs

config|numCoresPerCpu

Number of cores per CPU

Number of cores per CPU

config|coreFrequency

Core Frequency

Core Frequency

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Table 2‑45. Memory Properties Collected for Remote Collector Objects
Property Key

Property Name

Description

mem|RAM

System RAM

System RAM

Table 2‑46. Service Properties Collected for Remote Collector Objects
Property Key

Property Name

Description

service|proc|pid

Process ID

Process ID

Properties for vSAN
vRealize Operations Manager displays object properties for vSAN.

Properties for vSAN Disk Groups
The vRealize Operations Manager displays the following property for vSAN disk groups:
n

vSAN Disk Groups:Configuration|vSAN Configuration

Properties for vSAN Cluster
The vRealize Operations Manager displays the following properties for vSAN cluster.
n

Cluster Configuration|vSAN|Deduplication and Compression Enabled

n

Cluster Configuration|vSAN|Preferred fault domain

n

Cluster Configuration|vSAN|Stretched Cluster

n

Cluster Configuration|vSAN|vSAN Configuration

Properties for vSAN Enabled Host
The vRealize Operations Manager displays the following property for vSAN enabled host.
n

Configuration|vSAN Enabled

Properties for vSAN Cache Disk
The vRealize Operations Manager displays the following properties for vSAN cache disk.
Properties for vSAN include:

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Chapter 2 Property Definitions in vRealize Operations Manager

Component
Configuration

Metrics
n
n
n
n
n

SCSI SMART Statistics

n
n
n
n
n
n
n
n
n
n

Configuration Properties|Name
Configuration Properties|Size
Configuration Properties|Vendor
Configuration Properties|Type
Configuration Properties|Queue Depth
SCSI SMART Statistics|Media Wearout Indicator Threshold
SCSI SMART Statistics|Write Error Count Threshold
SCSI SMART Statistics|Read Error Count Threshold
SCSI SMART Statistics|Reallocated Sector Count Threshold
SCSI SMART Statistics|Raw Read Error Rate Threshold
SCSI SMART Statistics|Drive Temperature Threshold
SCSI SMART Statistics|Drive Rated Max Temperature Threshold
SCSI SMART Statistics|Write Sectors TOT Count Threshold
SCSI SMART Statistics|Read Sectors TOT Count Threshold
SCSI SMART Statistics|Initial Bad Block Count Threshold

Properties for vSAN Capacity Disk
The vRealize Operations Manager displays the following properties for vSAN capacity disk.
Properties for vSAN include:
Component
Configuration

Metrics
n
n
n
n
n

SCSI SMART Statistics

n
n
n
n
n
n
n
n
n
n

VMware, Inc.

Configuration Properties|Name
Configuration Properties|Size
Configuration Properties|Vendor
Configuration Properties|Type
Configuration Properties|Queue Depth
SCSI SMART Statistics|Media Wearout Indicator Threshold
SCSI SMART Statistics|Write Error Count Threshold
SCSI SMART Statistics|Read Error Count Threshold
SCSI SMART Statistics|Reallocated Sector Count Threshold
SCSI SMART Statistics|Raw Read Error Rate Threshold
SCSI SMART Statistics|Drive Temperature Threshold
SCSI SMART Statistics|Drive Rated Max Temperature Threshold
SCSI SMART Statistics|Write Sectors TOT Count Threshold
SCSI SMART Statistics|Read Sectors TOT Count Threshold
SCSI SMART Statistics|Initial Bad Block Count Threshold

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Alert Definitions in vRealize
Operations Manager

3

Alert definitions are a combination of symptoms and recommendations that identify problem areas in
vRealize Operations Manager and generate alerts on which you act for those areas.
Alert definitions are provided for various objects in your environment. You can also create your own alert
definitions. See the vRealize Operations Manager User Guide.
n

Cluster Compute Resource Alert Definitions on page 150
The vCenter adapter provides alert definitions that generate alerts on the Cluster Compute Resource
objects in your environment.

n

Host System Alert Definitions on page 154
The vCenter adapter provides alert definitions that generate alerts on the Host System objects in your
environment.

n

vRealize Automation Alert Definitions on page 168
Alert definitions are combinations of symptoms and recommendations that identify problem areas in
your environment and generate alerts on which you can act.

n

vSAN Alerts Definitions on page 169
vRealize Operations Manager generates an alert if a problem occurs with the components in the
storage area network that the vSAN adapter is monitoring.

n

Alerts in the vSphere Web Client on page 176
The vSphere Web Client displays the results of health tests for the following vSAN monitored groups:

n

vSphere Distributed Port Group on page 176
The vCenter adapter provides alert definitions that generate alerts on the vSphere Distributed Port
objects in your environment.

n

Virtual Machine Alert Definitions on page 177
The vCenter adapter provides alert definitions that generate alerts on the virtual machine objects in
your environment.

n

vSphere Distributed Switch Alert Definitions on page 185
The vCenter adapter provides alert definitions that generate alerts on the vSphere Distributed Switch
objects in your environment.

n

vCenter Server Alert Definitions on page 186
The vCenter adapter provides alert definitions that generate alerts on the vCenter Server objects in
your environment.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

n

Datastore Alert Definitions on page 187
The vCenter adapter provides alert definitions that generate alerts on the datastore objects in your
environment.

n

Data Center Alert Definitions on page 192
The vCenter adapter provides alert definitions that generate alerts on the Data Center objects in your
environment.

n

Custom Data Center Alert Definitions on page 193
The vCenter adapter provides alert definitions that generate alerts on the Custom Data Center objects
in your environment.

Cluster Compute Resource Alert Definitions
The vCenter adapter provides alert definitions that generate alerts on the Cluster Compute Resource objects
in your environment.

Health/Symptom-Based
These alert definitions have the following impact and criticality information.

150

Impact

Health

Criticality

Symptom-based

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Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptoms

Recommendations

Fully-automated DRS-enabled cluster
has CPU contention caused by less
than half of the virtual machines.

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n Cluster CPU contention at
warning/immediate/critical level
n > 0 descendant virtual machines
have [ Virtual machine CPU
demand at warning/
immediate/critical level ]
n <= 50% of descendant virtual
machines have [Virtual machine
CPU demand at warning/
immediate/critical level ]
n DRS Migration Threshold is not
zero

1

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n Cluster CPU contention at
warning/immediate/critical level
n Cluster CPU demand at
warning/immediate/critical level
n > 50% of descendant virtual
machines have [ Virtual machine
CPU demand at warning/
immediate/critical level ]
n DRS Migration Threshold is not
zero

1

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n Cluster CPU contention at
warning/immediate/critical level
n Cluster CPU workload at
warning/immediate/critical level
n = 0 descendant virtual machines
have [ Virtual machine CPU
demand at warning/
immediate/critical level ]
n DRS Migration Threshold is not
zero

1

Fully-automated DRS-enabled cluster
has CPU contention caused by more
than half of the virtual machines.

Fully-automated DRS-enabled cluster
has CPU contention caused by
overpopulation of virtual machines.

VMware, Inc.

2

3

4
5

2

3

4
5

2

3

4
5

Check the migration threshold in
the DRS settings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
Use the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
different cluster.
Use vMotion to migrate some
virtual machines to a different
cluster if possible.
Add more hosts to the cluster to
increase memory capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Check the migration threshold in
the DRS settings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
User the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
different cluster.
Use vMotion to migrate some
virtual machines to a different
cluster if possible.
Add more hosts to the cluster to
increase CPU capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Check the migration threshold in
the DRS settings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
User the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
different cluster.
Use vMotion to migrate some
virtual machines to a different
cluster if possible.
Add more hosts to the cluster to
increase CPU capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Alert Definition

Symptoms

Recommendations

Fully-automated DRS-enabled cluster
has unexpected high CPU workload.

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n Cluster CPU workload above DT
n Cluster CPU workload at
warning/immediate/critical level

1

Fully-automated DRS-enabled cluster
has memory contention caused by less
than half of the virtual machines.

Fully-automated DRS-enabled cluster
has memory contention caused by
more than half of the virtual machines.

152

2
3

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n Cluster memory contention at
warning/immediate/critical level
n > 0 descendant virtual machines
have [ Virtual machine memory
workload at
warning /immediate/critical
level ]
n <= 50% of descendant virtual
machines have [Virtual machine
memory workload at warning/
immediate/critical level ]
n DRS Migration Threshold is not
zero

1

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n Cluster memory contention at
warning/immediate/critical level
n Cluster memory workload at
warning/immediate/critical level
n > 50% of descendant virtual
machines have [ Virtual machine
memory demand at warning/
immediate/critical level ]
n DRS Migration Threshold is not
zero

1

2

3

4
5

2

3

4
5

Check the applications running on
the virtual machines in the cluster
to determine whether high CPU
workload is an expected behavior.
Add more hosts to the cluster to
increase CPU capacity.
Use vSphere vMotion to migrate
some virtual machines to a
different cluster if possible.
Check the migration threshold in
the DRS settings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
User the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
different cluster.
Use vMotion to migrate some
virtual machines to a different
cluster if possible.
Add more hosts to the cluster to
increase memory capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Check the migration threshold in
the DRS settings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
User the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
different cluster.
Use vMotion to migrate some
virtual machines to a different
cluster if possible.
Add more hosts to the cluster to
increase memory capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.

VMware, Inc.

Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptoms

Recommendations

Fully-automated DRS-enabled cluster
has memory contention caused by
overpopulation of virtual machines.

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n Cluster memory contention at
warning/immediate/critical level
n Cluster memory workload at
warning/immediate/critical level
n = 0 descendant virtual machines
have [ Virtual machine memory
demand at
warning /immediate/critical
level ]
n DRS Migration Threshold is not
zero

1

More than 5% of virtual machines in
the cluster have memory contention
due to memory compression,
ballooning or swapping.

n
n

n

n
n

Fully-automated DRS-enabled cluster
has unexpected high memory
workload and contention.

VMware, Inc.

Virtual machine memory limit is
set AND
> 5% of descendant virtual
machines have [ virtual machine
memory contention is at
warning/immediate/critical level]
AND
> 5% of descendant virtual
machines have [ Virtual machine
memory is compressed OR
Virtual machine is using swap
OR
Virtual machine memory
ballooning is at
warning/immediate/critical level]

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n Cluster memory contention
above DT
n Cluster memory content is at
warning/immediate/critical level
n Cluster memory workload at
warning/immediate/critical level

2

3

4
5

1
2

1

2
3

Check the migration threshold in
the DRS settings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
User the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
different cluster.
Use vMotion to migrate some
virtual machines to a different
cluster if possible.
Add more hosts to the cluster to
increase memory capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Add more hosts to the cluster to
increase memory capacity.
Use vMotion to migrate some
virtual machines off the host or
cluster.

Check the applications running on
the virtual machines in the cluster
to determine whether high
memory workload is an expected
behavior.
Add more hosts to the cluster to
increase memory capacity.
Use vSphere vMotion to migrate
some virtual machines to a
different cluster if possible.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Alert Definition

Symptoms

Recommendations

vSphere HA failover resources are
insufficient.

vSphere HA failover resources are
insufficient (fault symptom)

To resolve this problem, use similar
CPU and memory reservations for all
virtual machines in the cluster. If this
solution is not possible, consider using
a different vSphere HA admission
control policy, such as reserving a
percentage of cluster resource for
failover. Alternatively, you can use
advanced options to specify a cap for
the slot size. For more information, see
the vSphere Availability Guide. Hosts
that have vSphere HA agent errors are
not good candidates for providing
failover capacity in the cluster and
their resources are not considered for
vSphere HA admission control
purposes. If many hosts have a
vSphere HA agent error, vCenter
Server generates this event leading to
the fault. To resolve vSphere HA agent
errors, check the event logs for the
hosts to determine the cause of the
errors. After you resolve any
configuration problems, reconfigure
vSphere HA on the affected hosts or on
the cluster.

vSphere HA master missing.

vCenter Server is unable to find a
master vSphere HA agent (fault
symptom)

Check the fault page under the
Analysis tab for this object to find
more objects.

Host System Alert Definitions
The vCenter adapter provides alert definitions that generate alerts on the Host System objects in your
environment.

Health/Symptom-Based
These alert definitions have the following impact and criticality information.

154

Impact

Health

Criticality

Symptom-based

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Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptoms

Recommendations

Standalone host has CPU contention
caused by less than half of the virtual
machines.

Symptoms include the following:
n Host inside a cluster
n Host CPU contention is at
warning/immediate/critical level
n > 0 child virtual machines have
[Virtual machine CPU demand at
warning /immediate/critical
level]
n <= 50% of child virtual machines
have [Virtual machine CPU
demand at warning/
immediate/critical level]

Use
1 Add the host to a fully-automatedDRS cluster to allow vSphere to
move virtual machine as needed
when resources are available on
other hosts in the cluster.
2 Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
3 Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.

Standalone host has CPU contention
caused by more than half of the virtual
machines.

Symptoms include the following:
n Host inside a cluster
n Host CPU contention is at
warning/immediate/critical level
n Host CPU demand at
warning/immediate/critical level
n > 50% of child virtual machines
have [Virtual machine CPU
demand at warning/
immediate/critical level]

1

Symptoms include the following:
n Host inside a cluster
n Host CPU contention is at
warning/immediate/critical level
n Host CPU demand at
warning/immediate/critical level
n = 0 child virtual machines have
[Virtual machine CPU demand at
warning/ immediate/critical
level]

1

Standalone host has CPU contention
due to overpopulation of virtual
machines.

VMware, Inc.

2

3

2

3

Add the host to a fully-automatedDRS cluster to allow vSphere to
move virtual machine as needed
when resources are available on
other hosts in the cluster.
Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Add the host to a fully-automatedDRS cluster to allow vSphere to
move virtual machine as needed
when resources are available on
other hosts in the cluster.
Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Alert Definition

Symptoms

Recommendations

Host in a cluster that does not have
fully-automated DRS enabled has
contention caused by less than half of
the virtual machines.

Symptoms include the following:
n Host inside a cluster
n [ DRS Enabled OR ! DRS fully
automated ]
n Host CPU contention is at
warning/immediate/critical level
n > 0 child virtual machines have
[Virtual machine CPU demand at
warning /immediate/critical
level]
<=
50% of child virtual machines
n
have [Virtual machine CPU
demand at
warning /immediate/critical
level]

1

Symptoms include the following:
n Host inside a cluster
n [ DRS Enabled OR ! DRS fully
automated]
n Host CPU contention at
warning/immediate/critical level
n Host CPU demand at
warning/immediate/critical level
n > 50% of child virtual machines
have [Virtual machine CPU
demand at
warning /immediate/critical
level]

1

Symptoms include the following:
Host inside a cluster
n [ DRS Enabled OR ! DRS fully
automated]
n Host CPU contention at
warning/immediate/critical level
n Host CPU demand at
warning/immediate/critical level
n = 0 child virtual machines have
[Virtual machine CPU demand at
warning /immediate/critical level

1

Host in a cluster that does not have
fully-automated DRS enabled has CPU
contention caused by more than half of
the virtual machines.

Host in a cluster that does not have
fully-automated DRS enabled has CPU
contention caused by overpopulation
of virtual machines.

156

2

3

2

3

n

2

3

Enable fully-automated DRS in the
cluster to allow vSphere to move
virtual machine as needed when
resources are available on other
hosts in the cluster.
Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Enable fully-automated DRS in the
cluster to allow vSphere to move
virtual machine as needed when
resources are available on other
hosts in the cluster.
Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Enable fully-automated DRS in the
cluster to allow vSphere to move
virtual machine as needed when
resources are available on other
hosts in the cluster.
Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.

VMware, Inc.

Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptoms

Recommendations

Standalone host has memory
contention caused by less than half of
the virtual machines.

Symptoms include the following:
n Host inside a cluster
n Host memory workload at
warning/immediate/critical level
n Host memory contention at
warning/immediate/critical level
n > 50% of child virtual machines
have [Virtual machine memory
workload at
warning /immediate/critical
level]

1

Standalone host has memory
contention caused by more than half of
the virtual machines.

Standalone host has memory
contention due to overpopulation of
virtual machines.

2

3
4

Symptoms include the following:
Host inside a cluster
n Host memory workload at
warning/immediate/critical level
n Host memory contention at
warning/immediate/critical level
n > 50% of child virtual machines
have [Virtual machine memory
workload at
warning /immediate/critical
level]

1

Symptoms include the following:
n Host inside a cluster
n Host memory workload at
warning/immediate/critical level
n Host memory contention at
warning/immediate/critical level
n = 0 child virtual machines have
[Virtual machine memory
workload at warning/
immediate/critical level]

1

n

2

3
4

2

3
4

VMware, Inc.

Add the host to a fully-automatedDRS cluster to allow vSphere to
move virtual machine as needed
when resources are available on
other hosts in the cluster.
Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
Upgrade the host to use a host that
has larger memory capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Add the host to a fully-automatedDRS cluster to allow vSphere to
move virtual machine as needed
when resources are available on
other hosts in the cluster.
Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
Upgrade the host to use a host that
has larger memory capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Add the host to a fully-automatedDRS cluster to allow vSphere to
move virtual machine as needed
when resources are available on
other hosts in the cluster.
Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
Upgrade the host to use a host that
has larger memory capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Alert Definition

Symptoms

Recommendations

Host in a cluster that does not have
fully-automated DRS enabled has
memory contention caused by less
than half of the virtual machines.

Symptoms include the following:
n [DRS Enabled OR ! DRS fully
automated]
n Host memory contention at
warning/immediate/critical level
n > 0 child virtual machines have
[Virtual machine memory
workload at warning/
immediate/critical level]
<=
50% of child virtual machines
n
have [Virtual machine memory
workload at warning/
immediate/critical level]

1

Host in a cluster that does not have
fully-automated DRS enabled has
memory contention caused by more
than half of the virtual machines.

Host in a cluster that does not have
fully-automated DRS enabled has
memory contention caused by
overpopulation of virtual machines.

Host is experiencing high number of
received or transmitted packets
dropped.

Symptoms include the following:
n Host inside a cluster
n [DRS Enabled OR ! DRS fully
automated]
n Host memory workload at
warning/immediate/critical level
n Host memory contention at
warning/immediate/critical level
n > 50% of child virtual machines
have [Virtual machine memory
workload at
warning /immediate/critical
level]

Symptoms include the following:
n Host inside a cluster
n [DRS Enabled OR ! DRS fully
automated]
n Host memory workload at
warning/immediate/critical level
n Host memory contention at
warning/immediate/critical level
n = 0 child virtual machines have
[Virtual machine memory
workload at
warning /immediate/critical
level]

Symptoms include the following:
Host network received packets
dropped
n Host network transmitted
packets dropped

2

3

1

2

3
4

1

2

3
4

1

n

2

3

158

Enable fully-automated DRS in the
cluster to allow vSphere to move
virtual machine as needed when
resources are available on other
hosts in the cluster.
Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Enable fully-automated DRS in the
cluster to allow vSphere to move
virtual machine as needed when
resources are available on other
hosts in the cluster.
Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
Upgrade the host to use a host that
has larger memory capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Enable fully-automated DRS in the
cluster to allow vSphere to move
virtual machine as needed when
resources are available on other
hosts in the cluster.
Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
Upgrade the host to use a host that
has larger memory capacity.
Right-size large virtual machines
as it helps in reducing overall
resource contention. Use the
Reclaimable Capacity feature
within vRealize Operations for
recommended rightsizing of VMs.
Reduce the amount of network
traffic being generated by virtual
machines by moving some of them
to a host with lower network
traffic.
Verify the health of the physical
network adapter, configuration,
driver and firmware versions.
Contact VMware support.

VMware, Inc.

Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptoms

Recommendations

Host is experiencing high number of
received packets dropped.

Symptoms include the following:
n Host network received packets
dropped
Host
network received packets
n
dropped above DT
n Host network data receive
workload at Warning level
n Host network data receive
workload above DT
n Host CPU demand at Critical
level

1

Host is experiencing high number of
transmitted packets dropped.

Symptoms include the following:
n Host network transmitted
packets dropped
n Host network transmitted
packets dropped above DT
n
n
n

Host network data transmit
workload at Warning level
Host network data transmit
workload above DT
Host is dropping high percentage
of packets

2
3

1
2

If the host has one CPU, upgrade
the host or use a host that has
larger CPU capacity.
Add an additional NIC to the host.
Reduce the amount of network
traffic being generated by virtual
machines by moving some of them
to a host with lower network
traffic.

Add an additional NIC to the host.
Reduce the amount of network
traffic being generated by virtual
machines by moving some of them
to a host with lower network
traffic.

ESXi host has detected a link status
'flapping' on a physical NIC.

Physical NIC link state flapping (fault
symptom).

ESXi disables the device to avoid the
link flapping state. You might need to
replace the physical NIC. The alert will
be canceled when the NIC is repaired
and functioning. If you replace the
physical NIC, you might need to
manually cancel the alert.

ESXi host has detected a link status
down on a physical NIC.

Physical NIC link state down (fault
symptom).

ESXi disables the device to avoid the
link flapping state. You might need to
replace the physical NIC. The alert will
be canceled when the NIC is repaired
and functioning. If you replace the
physical NIC, you might need to
manually cancel the alert.

Battery sensors are reporting
problems.

Symptoms include the following:
n Battery sensor health is red OR
n Battery sensor health is yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

Symptoms include the following:
Baseboard Management
Controller sensor health is red
OR
n Baseboard Management
Controller sensor health is yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

Baseboard Management Controller
sensors are reporting problems.

Fan sensors are reporting problems.

n

n
n

VMware, Inc.

Fan sensor health is red OR
Fan sensor health is yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Alert Definition

Symptoms

Hardware sensors are reporting
problems.

n
n

Memory sensors are reporting
problems.

n

Power sensors are reporting problems.

n

n

n

Processor sensors are reporting
problems.

n

SEL sensors are reporting problems.

n

n

n

Storage sensors are reporting
problems.

System Board sensors are reporting
problems.

n
n

n
n

160

Recommendations

Hardware sensor health is red
OR
Hardware sensor health is yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

Memory sensor health is red OR
Memory sensor health is yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

Power sensor health is red OR
Power sensor health is yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

Processor sensor health is red
Processor sensor health is yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

SEL sensor health is red OR
SEL sensor health is yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

Storage sensor health is red OR
Storage sensor health is yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

System board sensor health is red
OR
System board sensor health is
yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

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Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptoms

Temperature sensors are reporting
problems.

n
n

Voltage sensors are reporting
problems.

n
n

Recommendations

Temperature sensor health is red
OR
Temperature sensor health is
yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

Voltage sensor health is red OR
Voltage sensor health is yellow

Change or replace the hardware if
necessary. Contact the hardware
vendor for assistance. After the
problem is resolved, the alert will be
canceled when the sensor that reported
the problem indicates that the problem
no longer exists.

Health/Critical
These alert definitions have the following impact and criticality information.
Impact

Health

Criticality

Critical

Alert Definition

Symptoms

Recommendations

Host has lost connection to vCenter.

Host disconnected from vCenter

Click "Open Host in vSphere Web
Client" in the Actions menu at the top
of Alert details page to connect to the
vCenter managing this host and
manually reconnect the host to
vCenter Server. After the connection to
the host is restored by vCenter Server,
the alert will be canceled.

vSphere High Availability (HA) has
detected a network-isolated host.

vSphere HA detected a network
isolated host (fault symptom).

Resolve the networking problem that
prevents the host from pinging its
isolation addresses and
communicating with other hosts. Make
sure that the management networks
that vSphere HA uses include
redundancy. With redundancy,
vSphere HA can communicate over
more than one path, which reduces the
chance of a host becoming isolated.

vSphere High Availability (HA) has
detected a possible host failure.

vSphere HA detected a host failure
(fault symptom).

Find the computer that has the
duplicate IP address and reconfigure it
to have a different IP address. This
fault is cleared and the alert canceled
when the underlying problem is
resolved, and the vSphere HA master
agent is able to connect to the HA
agent on the host.
Note You can use the Duplicate IP
warning in the /var/log/vmkernel
log file on an ESX host or
the /var/log/messages log file on an
ESXi host to identify the computer that
has the duplicate IP address.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Alert Definition

Symptoms

Recommendations

Host is experiencing network
contention caused by too much traffic.

Symptoms include all the following:
Host is experiencing dropped
network packets
Host
network workload at
n
warning/immediate/critical level

1

Lost network connectivity to dvPorts
(fault symptom).

Replace the physical adapter or reset
the physical switch. The alert will be
canceled when connectivity is restored
to the dvPort.

The host has lost connectivity to a
dvPort.

162

n

2
3

Review the load balancing policy
in the Port Group and the vSwitch.
Add an additional NIC to the host.
Reduce the amount of network
traffic being generated by virtual
machines by moving some of them
to a host with lower network
traffic.

VMware, Inc.

Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptoms

Recommendations

The host has lost connectivity to the
physical network.

Lost network connectivity (fault
symptom).

To determine the actual failure or to
eliminate possible problems, check the
status of the vmnic in the
vSphere Client or from the ESX service
console:
n To check the status in the
vSphere Client, select the ESX host,
click Configuration, and then click
Networking. The vmnics currently
assigned to virtual switches
appear in the diagrams. If a vmnic
displays a red X, that link is
currently down.
From
the service console, run the
n
command:esxcfg-nics. The
output that appears is similar to
the following: Name PCI Driver
Link Speed Duplex Description
----------------------------------------------------------------- vmnic0 04:04.00 tg3
Up 1000Mbps Full Broadcom
BCM5780 Gigabit Ethernet vmnic1
04:04.01 tg3 Up 1000Mbps Full
Broadcom BCM5780 Gigabit
Ethernet. The Link column shows
the status of the link between the
network adapter and the physical
switch. The status can be either Up
or Down. If some network
adapters are up and others are
down, you might need to verify
that the adapters are connected to
the intended physical switch ports.
To verify the connections, bring

VMware, Inc.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Alert Definition

Symptoms

Recommendations
down each ESX host port on the
physical switch, run esxcfg-nics
-l", and observe the affected
vmnics.
Verify that the vmnic identified in the
alert is still connected to the switch
and configured properly:
n Make sure that the network cable
is still connected to the switch and
to the host.
n Make sure that the switch is
connected to the system, is still
functioning properly, and has not
been inadvertently misconfigured.
For more information, see the
switch documentation.
n Check for activity between the
physical switch and the vmnic.
You can check activity by
performing a network trace or
observing activity LEDs.
n Check for network port settings on
the physical switch.
To reconfigure the service console IP
address if the affected vmnic is
associated with a service console, see
http://kb.vmware.com/kb/1000258 If
the problem is caused by your
hardware, contact your hardware
vendor for replacement hardware.

The host lost connectivity to a
Network File System (NFS) server.

Lost connection to NFS server (fault
symptom).

1
2

3

4

5

164

Verify the NFS server is running.
Check the network connection to
make sure the ESX host can
connect to the NFS server.
Determine whether the other hosts
that use the same NFS mount are
experiencing the same problem,
and check the NFS server status
and share points.
Make sure that you can reach the
NFS server by logging into the
service console and using vmkping
to ping the NFS server: "vmkping
".
For advanced troubleshooting
information,
seehttp://kb.vmware.com/kb/10039
67

A fatal error occurred on a PCIe bus
during system reboot.

A fatal PCIe error occurred.

Check and replace the PCIe device
identified in the alert as the cause of
the problem. Contact the vendor for
assistance.

A fatal memory error was detected at
system boot time.

A fatal memory error occurred.

Replace the faulty memory or contact
the vendor.

VMware, Inc.

Chapter 3 Alert Definitions in vRealize Operations Manager

Health/Immediate
These alert definitions have the following impact and criticality information.
Impact

Health

Criticality

Immediate

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Alert Definition

Symptom

Recommendations

The host has lost redundant
connectivity to a dvPort.

Lost network redundancy to DVPorts
(fault symptom).

Replace the physical adapter or reset
the physical switch. The alert will be
canceled when connectivity is restored
to the DVPort.

The host has lost redundant uplinks to
the network.

Lost network redundancy (fault
symptom).

To determine the actual failure or to
eliminate possible problems, first
connect to ESX through SSH or the
console:
1 Identify the available uplinks by
running esxcfg-nics -l.
2 Remove the reported vmnic from
the port groups by running
esxcfg-vswitch -U
<affected vmnic#>
affected vSwitch.
3 Link available uplinks to the
affected port groups by running
esxcfg-vswitch -L
<available vmnic#>
affected vSwitch.
Next, check the status of the vmnic in
vSphere Client or the ESX service
console:
1 In vSphere Client, select the ESX
host, click Configuration, and then
click Networking.
The vmnics currently assigned to
virtual switches appear in the
diagrams. If a vmnic displays a red
X, that link is currently
unavailable.
2 From the service console, run
esxcfg-nics -l. The output that
appears is similar to the following
example: Name PCI Driver Link
Speed Duplex Description.
----------------------------------------------------------------- vmnic0 04:04.00 tg3 Up
1000Mbps Full Broadcom BCM5780
Gigabit Ethernet vmnic1 04:04.01 tg3
Up 1000Mbps Full Broadcom
BCM5780 Gigabit Ethernet. The Link
column shows the status of the link
between the network adapter and the
physical switch. The status can be
either Up or Down. If some network
adapters are up and others are down,
you might need to verify that the
adapters are connected to the intended
physical switch ports. To verify the
connections, shut down each ESX host
port on the physical switch, run the
"esxcfg-nics -l" command, and observe
the affected vmnics. Verify that the
vmnic identified in the alert is still
connected to the switch and
configured properly:
1 Make sure that the network cable
is still connected to the switch and
to the host.

166

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Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptom

Recommendations
2

3

4

Make sure that the switch is
connected to the system, is still
functioning properly, and was not
inadvertently misconfigured. (See
the switch documentation.)
Perform a network trace or observe
activity LEDs to check for activity
between the physical switch and
the vmnic.
Check for network port settings on
the physical switch.
If the problem is caused by
hardware, contact your hardware
vendor for a hardware
replacement.

A PCIe error occurred during system
boot, but the error is recoverable.

A recoverable PCIe error occurred.

The PCIe error is recoverable, but the
system behavior is dependent on how
the error is handled by the OEM
vendor's firmware. Contact the vendor
for assistance.

A recoverable memory error has
occurred on the host.

A recoverable memory error
occurred.

Since recoverable memory errors are
vendor-specific, contact the vendor for
assistance.

Risk/Symptom-Based
These alert definitions have the following impact and criticality information.
Impact

Risk

Criticality

Symptom-based

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Alert Definition

Symptom

ESXi Host is violating vSphere 5.5
Hardening Guide.

n
n
n
n
n

n

n
n
n
n

n
n

n
n
n
n
n
n

n
n

Active directory authentication
disabled OR
Non-compliant NTP service
startup policy OR
SSH service is running OR
NTP service stopped OR
Non-compliant timeout value for
automatically disabling local and
remote shell access OR
vSphere Authentication Proxy
not used for password protection
when adding ESXi hosts to active
directory OR
Persistent logging disabled OR
Bidirectional CHAP for iSCSI
traffic disabled OR
Non-compliant firewall setting to
restrict access to NTP client OR
NTP server for time
synchronization not configured
OR
Non-compliant ESXi Shell service
startup policy OR
Non-compliant firewall setting to
restrict access to SNMP server
OR
ESXi Shell service is running OR
Non-compliant DCUI service
startup policy OR
Dvfilter bind IP address
configured OR
Non-compliant SSH service
startup policy OR
DCUI service is running OR
Non-compliant idle time before
an interactive shell is
automatically logged out OR
Non-compliant DCUI access user
list OR

Recommendations
Fix the vSphere 5.5 Hardening Guide
Rules Violations according to the
recommendations in the vSphere5
Hardening Guide

Remote syslog is not enabled

vRealize Automation Alert Definitions
Alert definitions are combinations of symptoms and recommendations that identify problem areas in your
environment and generate alerts on which you can act.
Symptom and alert definitions are defined for vRealize Automation objects. The alerts are population-based
alerts based on the risk or health of a certain percentage of child objects. There are no alerts generated for
network profiles.
The health and risk thresholds are as follows:

Health
n

168

When 25%-50% of the child objects have health issues, the parent object will trigger an alert with a
Warning health level.

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Chapter 3 Alert Definitions in vRealize Operations Manager

n

When 50%-75% of the child objects have health issues, the parent object will trigger an alert with an
Immediate health level.

n

When 75%-100% of the child objects have health issues, the parent object will trigger an alert with a
Critical health level.

Risk
n

When 25%-50% of the child objects have risk issues, the parent object will trigger an alert with a
Warning risk level.

n

When 50%-75% of the child objects have risk issues, the parent object will trigger an alert with an
Immediate risk level.

n

When 75%-100% of the child objects have risk issues, the parent object will trigger an alert with a
Critical risk level.

vSAN Alerts Definitions
vRealize Operations Manager generates an alert if a problem occurs with the components in the storage area
network that the vSAN adapter is monitoring.
Table 3‑1. vSAN Alert Definitions
Alert
Level

Affected Object
Type

Performance Service on vSAN cluster might be
off or experience issues

Critical

vSAN Adapter
Instance

Triggered when the vSphere Virtual
SAN Performance Service is off or
experiences issues for one of the
vSAN-enabled cluster compute
resources.
Cleared by enabling Virtual SAN
performance service in vSphere.

vSAN adapter instance failed to collect data
from Virtual SAN Health Service. The health
service might have issues.

Critical

vSAN Adapter
Instance

Triggered when the vSAN adapter
instance is unable to collect data
from the vSphere Virtual SAN
Health Service for one of the vSANenabled cluster compute resources.
Check Virtual SAN health service
settings in vSphere.

vSAN Cluster disk space usage is approaching
capacity

Warning

Cluster Compute
Resource

Triggered when the disk usage in a
vSAN cluster reaches 80% of
capacity.
Cleared by removing virtual
machines that are no longer in use or
adding more disks to the cluster.

vSAN Cluster disk space capacity is less than
5%

Critical

Cluster Compute
Resource

Triggered when the disk usage in a
vSAN cluster reaches 95% of
capacity.
Cleared by removing virtual
machines that are no longer in use or
adding more disks to the cluster.

vSAN Cluster flash read cache is approaching
capacity

Warning

Cluster Compute
Resource

Triggered when the Read Cache
(RC) in the vSAN cluster reaches
80% of capacity.
Cleared by adding flash storage to
the read cache.

Alert

VMware, Inc.

Description

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Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Level

Affected Object
Type

vSAN Cluster flash read cache capacity is less
than 5%

Critical

Cluster Compute
Resource

Triggered when the Read Cache
(RC) in the vSAN cluster reaches
95% of capacity.
Cleared by adding flash storage to
the read cache.

vSAN Cluster virtual disk count is
approaching capacity

Warning

Cluster Compute
Resource

Triggered when the number of
virtual disks per host in the vSAN
cluster reaches 75% of capacity.
Cleared by adding most hosts to the
cluster.

vSAN Cluster virtual disk count capacity is
less than 5%

Critical

Cluster Compute
Resource

Triggered when the number of
virtual disks per host in the vSAN
cluster reaches 95% of capacity.
Cleared by adding most hosts to the
cluster.

vSAN Disk Group read cache hit rate is less
than 90%

Warning

vSAN Disk
Group

Triggered when the vSAN disk
group read cache hit rate is less than
90%.
Cleared by adding more cache to
accommodate the workload.

vSAN Disk Group read cache hit rate is less
than 90% and write buffer free space is less
than 10%

Warning

vSAN Disk
Group

Triggered when the vSAN disk
group read cache hit rate is less than
90% and the vSAN disk group write
buffer free space is less than 10%.
Cleared by adding more flash
capacity to the vSAN disk group.

vSAN Host has no VMkernel NIC configured

Immediate

Host System

Triggered when vSAN host has no
VMkernel NIC configured.
Clears when the symptom
disappears.

One or more physical disks on vSAN host is
experiencing software state health issues

Critical

Host System

Triggered when one or more
physical disks on vSAN host is
experiencing software state health
issues.

vSAN Performance Service is unable to
communicate and retrieve statistics from host

Critical

Host System

Triggered when vSAN Performance
Service is unable to communicate
and retrieve statistics from host.

vSAN enabled hosts have inconsistent values
for advanced configuration options

Critical

vSAN Cluster

Triggered when some advanced
configuration settings have different
values on different hosts in the
vSAN cluster.

vSAN is disabled on the host

Critical

Host System

Triggered when vSAN is disabled on
the host.
vSAN objects health will be
impacted If this host stores any
vSAN data (For example: virtual
machine objects) on its local disks.

One or more vSAN enabled hosts are not in the
same IP subnet

Critical

Host System

Triggered when one or more vSAN
enabled hosts are not in the same IP
subnet.

Alert

170

Description

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Chapter 3 Alert Definitions in vRealize Operations Manager

Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Level

Affected Object
Type

Host in a vSAN cluster does not have a
VMkernel NIC configured for vSAN traffic

Critical

Host System

Triggered when host in a vSAN
cluster does not have a VMkernel
NIC configured for vSAN traffic.
Note
Even if an ESXi host is part of the
vSAN cluster, but is not contributing
storage, it must still have a
VMkernel NIC configured for vSAN
traffic.

One or more hosts in the vSAN cluster have
misconfigured multicast addresses

Critical

Host System

Triggered when one or more hosts in
the vSAN cluster have
misconfigured multicast addresses.

vSAN health service is not installed on the host

Critical

Host System

Triggered when vSAN health service
is not installed on the host.

Host in a vSAN cluster has IP multicast
connectivity issue

Critical

Host System

Triggered when host in a vSAN
cluster has IP multicast connectivity
issue. It means that multicast is most
likely the root cause of a vSAN
network partition.

Host in a vSAN cluster has connectivity issues
and vCenter Server does not know its state

Critical

Host System

Triggered when host in a vSAN
cluster has connectivity issues and
vCenter Server does not know its
state.

vSAN disk group has incorrect deduplication
and compression configuration

Critical

Host System

Triggered when vSAN disk group
has incorrect deduplication and
compression configuration.

vSAN witness host has an invalid preferred
fault domain

Critical

Host System

Triggered when vSAN witness host
has an invalid preferred fault
domain.

vSAN Cluster contains host whose ESXi
version does not support vSAN Stretched
Cluster

Critical

Host System

Triggered when vSAN Cluster
contains host whose ESXi version
does not support vSAN Stretched
Cluster.

Host has invalid unicast agent and impacting
the health of vSAN Stretched Cluster

Critical

Host System

Triggered when host has invalid
unicast agent and impacting the
health of vSAN Stretched Cluster.
An invalid unicast agent on the host
can cause a communication
malfunction with the witness host.

Storage I/O controller driver is not VMware
certified

Critical

Host System

Triggered when stability and
integrity of vSAN may be at risk as
the storage I/O controller driver is
not VMware certified.

Storage I/O controller is not compatible with
the VMware Compatibility Guide

Critical

Host System

Triggered when vSAN environment
may be at risk as the Storage I/O
controller on the ESXi hosts that are
participating in a vSAN cluster are
not compatible with the VMware
Compatibility Guide.

vSAN host and its disks have inconsistent
deduplication and compression configuration
with the cluster

Critical

Host System

Triggered when vSAN host and its
disks have inconsistent
deduplication and compression
configuration with the cluster.

Alert

VMware, Inc.

Description

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Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Level

Affected Object
Type

Unicast agent is not configured on the host and
affecting operations of vSAN Stretched cluster

Critical

Host System

Triggered when unicast agent is not
configured on the host and affecting
operations of vSAN Stretched
cluster.

The preferred fault domain is not set for the
witness host in a vSAN Stretched cluster

Critical

Host System

Triggered when the preferred fault
domain is not set for the witness
host in a vSAN Stretched cluster and
affecting the operations of vSAN
Stretched cluster.

vSAN Stretched cluster contains a witness host
without a valid disk group

Critical

Host System

Triggered when vSAN Stretched
cluster contains a witness host
without a valid disk group.
If the witness host does not have any
disk claimed by vSAN then its fault
domain is not available.

vSAN Stretched cluster has inconsistent
configuration for Unicast agent

Critical

Host System

Triggered when vSAN Stretched
cluster contains multiple unicast
agents.
This means multiple unicast agents
were set on non-witness hosts.

vSAN Stretched cluster does not contain a
valid witness host

Critical

Host System

Triggered when vSAN Stretched
cluster does not contain a valid
witness host.
This affects the operations of vSAN
Stretched cluster.

vSAN cluster has multiple network partitions

Critical

Host System

Triggered when vSAN cluster has
multiple network partitions due to a
network issue.

Witness host is a part of vSAN Stretched
cluster

Critical

Host System

Triggered when witness host is a
part of the vCenter cluster, which
forms vSAN Stretched cluster.

Witness host resides in one of the data fault
domains

Critical

Host System

Triggered when witness host resides
in one of the data fault domains.
This affects the operations of vSAN
Stretched cluster.

vSAN cluster has unexpected hosts

Critical

Host System

Triggered when vSAN cluster has
unexpected hosts.

vSAN is unable to retrieve the physical disk
information from host

Critical

Host System

Triggered when vSAN is unable to
retrieve the physical disk
information from host. vSAN Health
Service may not be working
properly on this host.

vCenter Server has lost connection to a host
that is part of a vSAN cluster.

Critical

Host System

Triggered when host that is part of a
vSAN cluster is in disconnected state
or not responding and vCenter
Server does not know its state.

vSAN has encountered an integrity issue with
the metadata of an individual component on a
physical disk

Critical

Host System

Triggered when vSAN has
encountered an integrity issue with
the metadata of an individual
component on a physical disk.

Alert

172

Description

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Chapter 3 Alert Definitions in vRealize Operations Manager

Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Level

Affected Object
Type

vSAN is running low on the vital memory pool
(slabs) needed for the operation of physical
disks.

Critical

Host System

Triggered when vSAN is running
low on the vital memory pool (slabs)
needed for the operation of physical
disks.
This can lead to a variety of
performance issues such as virtual
machine storage performance
degradation, operation failures, or
even ESXi hosts going unresponsive.

vSAN is running low on the vital memory pool
(heaps) needed for the operation of physical
disks.

Critical

Host System

Triggered when vSAN is running
low on the vital memory pool
(heaps) needed for the operation of
physical disks.
This can lead to a variety of
performance issues such as virtual
machine storage performance
degradation, operation failures, or
even ESXi hosts going unresponsive.

vSAN is using a physical disk which has high
congestion value

Critical

Host System

Triggered when vSAN is using a
physical disk which has high
congestion value.
This can lead to a variety of
performance issues such as virtual
machine storage performance
degradation, operation failures, or
even ESXi hosts going unresponsive.

Disk format version of one or more vSAN
disks is out of date

Critical

Host System

Triggered when disk format version
of one or more vSAN disks is out of
date and is not compatible with
other vSAN disks. This can lead to
problems in creating or powering on
VMs, performance degradation, and
EMM failures.

vSAN Cluster has multiple Stats DB objects
which are creating conflicts and affecting
vSAN Performance Service

Critical

vSAN Cluster

Triggered when vSAN cluster has
issues in electing stats master of
vSAN Performance service.
This affects the functionality of
vSAN Performance service.

vSAN cluster has issues in electing stats master
of vSAN Performance service

Critical

vSAN Cluster

Triggered when vSAN cluster has
issues in electing stats master of
vSAN Performance service.
This affects the functionality of
vSAN Performance service.

CLOMD process on the host has issues and
impacting the functionality of vSAN cluster

Critical

Host System

Triggered when CLOMD process on
the host has issues and impacting
the functionality of vSAN cluster.

Number of vSAN components on a disk is
reaching or has reached its limit

Critical

vSAN Cluster

Triggered when number of vSAN
components on a disk is reaching or
has reached its limit. This will cause
failure in the deployment of new
Virtual Machines and also impact
rebuild operations.

Alert

VMware, Inc.

Description

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Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Level

Affected Object
Type

vSAN HCL DB auto updater is not working
properly

Critical

vSAN Cluster

Triggered when vSAN HCL DB auto
updater is not working properly.
This means that vSAN cannot
download and update its HCL DB
automatically.

vSAN has encountered an issue while reading
the metadata of a physical disk

Critical

Host System

Triggered when vSAN has
encountered an issue while reading
the metadata of a physical disk and
cannot use this disk.

Overall health of the physical disks in a vSAN
Cluster is impacted

Critical

Host System

Triggered when overall health of the
physical disks in a vSAN Cluster is
impacted. See the health status of
each physical disk individually on
all the hosts.

vSAN performance service statistics database
object is reporting issues.

Critical

Host System

Triggered when vSAN performance
service statistics database object is
reporting issues.

Overall health of vSAN objects is reporting
issues

Critical

vSAN Cluster

Triggered when overall health of
vSAN objects is reporting issues.

Number of vSAN components on a host is
reaching or has reached its limit

Critical

Host System

Triggered when number of vSAN
components on a host is reaching or
has reached its limit.
This will cause failure in the
deployment of new Virtual
Machines and also impact rebuild
operations.

Site latency between two fault domains and the
witness host has exceeded the recommended
threshold values in a vSAN Stretched cluster

Critical

vSAN Cluster

Site latency between two fault
domains and the witness host has
exceeded the recommended
threshold values in a vSAN
Stretched cluster.

Host ESXi version and the vSAN disk format
version is incompatible with the other hosts
and disks in a vSAN cluster

Critical

Host System

Host ESXi version and the vSAN
disk format version is incompatible
with the other hosts and disks in a
vSAN cluster.

Statistics collection of vSAN performance
service is not working correctly

Critical

vSAN Cluster

Triggered when statistics collection
of vSAN performance service is not
working correctly.
This means that statistics collection
or writing statistics data to storage
have failed for three consecutive
intervals.

After one additional host failure, vSAN Cluster
will not have enough resources to rebuild all
objects

Critical

vSAN Cluster

Triggered when after one additional
host failure, vSAN Cluster will not
have enough resources to rebuild all
objects.

vSAN cluster is reaching or has reached its
limit for components, free disk space and read
cache reservations

Critical

vSAN Cluster

Triggered when vSAN cluster is
reaching or has reached its limit for
components, free disk space and
read cache reservations.

Alert

174

Description

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Chapter 3 Alert Definitions in vRealize Operations Manager

Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Level

Affected Object
Type

Disk load variance between some vSAN disks
exceeded the threshold value

Critical

vSAN Cluster

Triggered when disk load variance
between some vSAN disks exceeded
the threshold value.
vSAN cannot perform the load
balance properly.

Host is either running an outdated version of
the vSAN Health Service VIB or It is not
installed on the host

Critical

Host System

Triggered when host is either
running an outdated version of the
vSAN Health Service VIB or It is not
installed on the host.

Storage I/O controller drivers is not supported
with the current version of ESXi running on
the host

Critical

Host System

Triggered when stability and
integrity of vSAN may be at risk as
the storage I/O controller driver is
not supported with the current
version of ESXi running on the host.

vSAN HCL DB is not up-to-date

Critical

vSAN Cluster

Triggered when vSAN HCL DB is
not up-to-date.

vSAN cluster health checks are reporting
issues

Critical

vSAN Cluster

Triggered when vSAN cluster health
checks are reporting issues.

vSAN cluster Hardware Compatibility health
checks are experiencing issues

Critical

vSAN Cluster

Triggered when vSAN cluster
Hardware Compatibility health
checks are experiencing issues.

vSAN cluster Limits health checks are
experiencing issues

Critical

vSAN Cluster

Triggered when vSAN cluster Limits
health checks are experiencing
issues.

vSAN cluster network health checks are
experiencing issues

Critical

vSAN Cluster

Triggered when vSAN cluster
network health checks are
experiencing issues.

Performance Service on vSAN cluster might be
off or experiencing issues

Critical

vSAN Cluster

Triggered when performance service
on vSAN cluster might be off or
experiencing issues.
vROps will not be able to collect the
data from vSAN cluster in this state.

vSAN Stretched cluster health checks are
experiencing issues

Critical

vSAN Cluster

Triggered when vSAN Stretched
cluster health checks are
experiencing issues.

MTU check (ping with large packet size) has
failed on vSAN host

Critical

Host System

Triggered when MTU check (ping
with large packet size) has failed on
vSAN environment due to some
MTU misconfiguration in the vSAN
network.

Basic (unicast) connectivity check (normal
ping) has failed on vSAN host

Critical

Host System

Triggered when basic (unicast)
connectivity check (normal ping) has
failed on vSAN host due to network
misconfiguration.

vSAN adapter instance failed to collect data
from vSAN Health Service. The health Service
might have issues.

Critical

Host System

Triggered when vSAN adapter
instance failed to collect data from
vSAN Health Service. The health
Service might have issues.

Alert

VMware, Inc.

Description

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Alerts in the vSphere Web Client
The vSphere Web Client displays the results of health tests for the following vSAN monitored groups:
n

Network

n

Physical disk

n

Cluster

n

Limits

n

Data

n

Hardware compatibility

n

Performance Service

n

Stretched Cluster (if enabled)

Each group contains several individual checks. If a check fails, the vSAN adapter issues a warning or error
level alert. The alert indicates the host or cluster where the problem occurred and provides a
recommendation to clear the alert. For a complete list of all vSAN health test alerts, see Knowledge Base
article 2114803.

vSphere Distributed Port Group
The vCenter adapter provides alert definitions that generate alerts on the vSphere Distributed Port objects in
your environment.

Health/Critical
These alert definitions have the following impact and criticality information.

176

Impact

Health

Criticality

Critical

Alert Definition

Symptom

Recommendations

One or more ports are in link down
state.

Symptoms include all of the
following:
n Port is connected
n One or more ports are in a link
down state

Verify that there is physical
connectivity for the NICs on the host.
Verify the admin status on the port.

One or more ports are experiencing
network contention.

Port is experiencing dropped packets

Check if the packet drops are due to
high CPU resource utilization or
uplink bandwidth utilization. User
vMotion to migrate the virtual
machine that the port is attached to a
different host.

VMware, Inc.

Chapter 3 Alert Definitions in vRealize Operations Manager

Virtual Machine Alert Definitions
The vCenter adapter provides alert definitions that generate alerts on the virtual machine objects in your
environment.

Health/Symptom-Based
These alert definitions have the following impact and criticality information.
Impact

Health

Criticality

Symptom-based

Alert Definition

Symptom

Virtual machine is experiencing
memory compression, ballooning or
swapping due to memory limit.

n
n

n
n
n

n

Virtual machine has CPU contention
caused by swap wait.

Virtual machine memory limit is
set AND
Virtual machine memory
demand exceeds configured
memory limit AND
[Virtual machine memory is
compressed OR
Virtual machine is using swap
OR
Virtual machine memory
ballooning is at
warning/immediate/critical level]
AND
Recommended virtual machine
memory size

Virtual machine CPU swap wait is at
warning/Immediate/Critical level.

Recommendations
Increase the memory limit for the
virtual machine to match the
recommended memory size.
Alternatively, remove memory limit
for the virtual machine.

1
2

3

Upgrade the host with more
memory.
Use vSphere vMotion to migrate
this virtual machine to a different
host or cluster.
Set memory reservations for the
virtual machine to prevent
swapping.

Virtual machine has CPU contention
caused by IO wait.

Virtual machine CPU I/O wait is at
warning/immediate/critical level.

Increase the datastore I/O capacity for
the connected data stores to reduce
CPU I/O wait on the virtual machine.

Virtual machine has unexpected high
CPU workload.

Symptoms include all of the
following:
n Virtual machine CPU demand at
warning/immediate/critical level
n Anomaly is starting
to/moderately/critically high

1

Virtual machine has unexpected high
memory workload.

VMware, Inc.

Symptoms include all of the
following:
n Virtual machine memory
workload is at
Warning/Immediate/Critical level
n Anomaly is starting
to/moderately/critically high

2

1

2

Check the guest applications to
determine whether high CPU
workload is an expected behavior.
Add more CPU capacity for this
virtual machine.
Check the guest applications to
determine whether high memory
workload is an expected behavior.
Add more memory for this virtual
machine.

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Alert Definition

Symptom

Recommendations

Virtual machine has memory
contention due to swap wait and high
disk read latency.

Symptoms include all of the
following:
n Virtual machine CPU swap wait
is at warning/immediate/critical
level (5/10/15)
Virtual
machine has
n
read latency at warning level
n Recommended virtual machine
memory size

Add more memory for this virtual
machine.

Virtual machine has memory
contention due to memory
compression, ballooning or swapping.

n

! Virtual machine memory limit is
set AND
Virtual machine has memory
contention at
warning/immediate/critical level
AN
[ Virtual machine memory
ballooning at
warning/immediate/critical level
OR
Virtual machine memory is
compressed OR
Virtual machine is using swap]

1

Symptoms include all of the
following:
n Virtual machine disk I/O
workload at
Warning/Immediate/Critical level
(80/90/95)
n Virtual machine disk I/O
workload above DT

1

Symptoms include all of the
following:
n Virtual machine disk read latency
at Warning /Immediate/Critical
level
n Virtual machine disk read latency
above DT
n Virtual machine has low co-stop
n Virtual machine has low CPU
swap wait

1

n

n

n
n

Virtual machine has unexpected high
disk I/O workload.

Virtual machine has disk I/O read
latency problem.

Virtual machine has disk I/O write
latency problem.

178

Symptoms include all of the
following:
n Virtual machine disk write
latency at Warning/
Immediate/Critical level
n Virtual machine disk write
latency above DT
n Virtual machine has low CPU
swap wait (< 3 ms)

2

2

2
3

1

2
3

4

Add memory reservations to this
virtual machine to prevent
ballooning and swapping.
Use vSphere vMotion to migrate
this virtual machine to a different
host or cluster.

Check the applications running on
the virtual machine to determine
whether high disk I/O workload is
an expected behavior.
Use vSphere Storage vMotion to
migrate this virtual machine to a
different datastore with higher
IOPS.
Check whether you have enabled
Storage IO control on the
datastores connected to the virtual
machine.
Increase IOPS for the datastores
connected to the virtual machine.
UsevSphere Storage vMotion to
migrate this virtual machine to a
different datastore with higher
IOPS.
Check whether you have enabled
Storage IO Control on the data
stores connected to the datastore.
Increase IOPS for the data stores
connected to the virtual machine.
If the virtual machine has multiple
snapshots, delete the older
snapshots.
Use vSphere Storage vMotion to
migrate some virtual machines to a
different datastore.

VMware, Inc.

Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptom

Recommendations

Virtual machine has disk I/O latency
problem caused by snapshots.

Symptoms include all of the
following:
n Virtual machine CPU I/O wait is
at warning/immediate/critical
level
n Virtual machine has at least one
snapshot
n All child datastores have [ ! Disk
command latency at warning
level ]

1

Virtual machine is consuming disk
space in a rapid and unexpected
manner.

Symptoms include all of the
following:
n Guest file system overall disk
space usage reaching
warning/immediate/critical limit
(80, 90, 95)
n Virtual machine disk space time
remaining high (> 60 days)
n Guest file system space usage
above DT
n Guest partition disk space usage

1

One or more guest file systems is out
of disk space.

One or more guest file systems out of
disk space (Fault symptom).

Add a new hard disk to the virtual
machine and configured the guest file
system partition to use the disk.

Not enough resources for vSphere HA
to start the virtual machine.

Not enough resources forvSphere HA
to start VM (Fault symptom).

1

2

2

2

3
4

5

If the virtual machine has multiple
snapshots, delete the older
snapshots.
Reduce the number of snapshots
by consolidating the snapshots
into one snapshot. In
vSphere Client, select the VM,
right-click, select Snapshot, and
then Consolidate.
Check the application and verify
that it is behaving correctly.
Add a new hard disk to the virtual
machine and configure the guest
file system partition to use the
disk.

If virtual machine CPU reservation
is set, decrease the CPU
reservation configuration.
If virtual machine memory
reservation is set, decrease the
memory reservation configuration.
Add more hosts to cluster.
Bring any failed hosts online or
resolve a network partition, if one
exists.
If DRS is in manual mode, look for
pending recommendations and
approve the recommendations so
that vSphere HA failover can
proceed.

The Fault tolerance state of the virtual
machine has changed to "Disabled"
state.

VM fault tolerance state changed to
disabled (Fault symptom).

Enable the secondary virtual machine
indicated in the alert.

vSphere HA failed to restart a network
isolated virtual machine.

vSphere HA failed to restart a
network isolated virtual machine
(Fault symptom).

Manually power on the virtual
machine.

The fault tolerance state of the virtual
machine has changed to "Needs
Secondary" state.

VM Fault Tolerance state changed to
needs secondary (Fault symptom).

Keep HA enabled when Fault
tolerance (FT) is required to protect
virtual machines.

VMware, Inc.

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Alert Definition

Symptom

Recommendations

vSphere HA cannot perform a failover
operation for the virtual machine

vSphere HA virtual machine failover
unsuccessful (Fault symptom)

1

2

3

4

Virtual machine is experiencing
memory compression, ballooning or
swapping due to memory limit.

n
n

n
n
n

n

Virtual machine memory limit is
set
Virtual machine memory
demand exceeds configured
memory limit
[Virtual machine memory is
compressed OR
Virtual machine is using swap
OR
Virtual machine memory
ballooning is at
warning/immediate/critical level]
Recommended virtual machine
memory size

If the error information reports
that a file is locked, the virtual
machine might be powered on a
host that the vSphere HAmaster
agent can no longer monitor by
using the management network or
heartbeat datastores.
The virtual machine might have
been powered on by a user on a
host outside of the cluster. If any
hosts are declared offline,
determine whether a networking
or storage problem caused the
situation.
If the error information reports
that the virtual machine is in an
invalid state, an in-progress
operation might be preventing
access to the virtual machine files.
Determine whether any operations
are in progress, such as a clone
operation that is taking a long time
to complete.
You can also try to power on the
virtual machine and investigate
any returned errors.

Increase the memory limit for the
virtual machine to match the
recommended memory size.
Alternatively, remove memory limit
for the virtual machine.

Efficiency/Symptom-Based
These alert definitions have the following impact and criticality information.

180

Impact

Efficiency

Criticality

Symptom-based

Alert Definition

Symptom

Recommendations

Virtual machine has large disk
snapshots.

Symptoms include all of the
following:
n Virtual machine has large disk
snapshots
n Reclaimable snapshot waste
n Datastore space usage reaching
warning/immediate/critical limit

If the virtual machine has multiple
snapshots, delete the older snapshots.

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Chapter 3 Alert Definitions in vRealize Operations Manager

Efficiency/Warning
These alert definitions have the following impact and criticality information.
Impact

Efficiency

Criticality

Warning

Alert Definition

Symptom

Recommendations

Virtual machine is idle.

Symptoms include all of the
following:
n Virtual machine is idle
n Virtual machine high ready time
on each vCPU
n ! Virtual machine is powered off

Power off this virtual machine to allow
for other virtual machines to use CPU
and memory that this virtual machine
is wasting.

Risk/Symptom-Based
These alert definitions have the following impact and criticality information.
Impact

Risk

Criticality

Symptom-based

Alert Definition

Symptom

Recommendations

Virtual machine has CPU contention
caused by co-stop.

Symptoms include all of the
following:
n Virtual machine CPU co-stop at
warning/immediate/critical level
n ! Virtual machine is powered off
n Number of vCPUs to remove
from virtual machine

Review the symptoms listed and
remove the number of vCPUs from the
virtual machine as recommended by
the symptom.

Virtual machine has chronic high CPU
workload leading to CPU stress.

Symptoms include all of the
following:
n Virtual machine CPU stress is at
warning/immediate/critical level
n Recommended number of vCPUs
to add

Add more CPU capacity for this
virtual machine.

Virtual machine has high CPU co-stop
due to snapshots.

Symptoms include all of the
following:
n Virtual machine CPU co-stop is
at warning/immediate/critical
level
n Virtual machine has at least one
snapshot

To reduce the high co-stop (%CSTP)
values and increase virtual machine
performance, consolidate any
snapshots into the main virtual disk. In
the vSphere Client, select the VM, right
click, and select Snapshot, and then
Consolidate. After consolidation, the
%CSTP value is reduced or eliminated
and VM performance is improved. If
performance is not improved enough,
continue researching other potential
VM performance issues. See VMware
KB: http://kb.vmware.com/kb/2000058

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182

Alert Definition

Symptom

Recommendations

Virtual machine has chronic high
memory workload leading to memory
stress.

Symptoms include all of the
following:
n Virtual machine memory stress at
warning/immediate/critical level
n Recommended virtual machine
memory size > 0

Add more memory for the VM.

Virtual machine is projected to run out
of disk space.

Symptoms include all of the
following:
n Virtual machine disk space time
remaining low (<= 60 days)
n ! Guest file system space usage
above DT
n ! Guest file system overall disk
space usage reaching warning
limit (85%)
n Guest partition disk space usage

1

2

Check the application
configuration to determine
whether the virtual machine disk
capacity will be sufficient.
Add a new hard disk to the virtual
machine and configured the guest
file system partition to use the
disk.

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Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptom

Recommendations

Virtual machine is running out of disk
space.

Symptoms include all of the
following:
n Guest file system overall disk
space usage reaching
warning/immediate/critical limit
(80, 90, 95)
n Virtual machine disk space time
remaining low (<= 60 days)
n ! Guest file system space usage
above DT
n Guest partition disk space usage

1

Virtual machine is violating vSphere
5.5 hardening guide.

n

n
n
n
n
n
n
n
n
n

n
n
n
n
n
n
n
n
n
n
n
n
n
n

VMware, Inc.

Unrestricted VM-to-VM
communication through VMCI
OR
VMsafe CPU/Memory APIs-port
number configured OR
Dvfilter network API enabled OR

2

Add a new hard disk to the virtual
machine and configured the guest
file system partition to use the
disk.
Reclaim disk space using in-guest
disk cleanup mechanisms.

Fix the vSphere 5.5 hardening guide
rule violations according to the
recommendations in the vSphere
Hardening Guide (XLSX).

Non-compliant max VMX file
size OR
Non-compliant max VM log file
size OR
Allow unauthorized modification
of device settings OR
Allow unauthorized connect and
disconnect of devices OR
Tools auto install not disabled OR
Non-compliant max number of
remote console connections OR
Allow VM to obtain detailed
information about the physical
host OR
Non-compliant max VM log file
count OR
Feature not exposed in vSphere:
MemsFss is not disabled OR
VMsafe CPU/memory API
enabled OR
Parallel port connected OR
Console drag and drop operation
not disabled OR
Console copy operation not
disabled OR
Serial port connected OR
Feature not exposed in vSPhere:
AutoLogon is not disabled OR
Use independent non persistent
disk OR
Feature not exposed in vSphere:
UnityPush is not disabled OR
Shrink virtual disk not disabled diskShrink OR
Feature not exposed in vSphere:
GetCreds is not disabled OR
CD-ROM connected OR
Feature not exposed in vSPhere:
HGFSServerSet is not disabled
OR

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Alert Definition

Symptom
n
n
n
n
n

n
n
n
n
n
n
n
n

n
n
n
n
n
n

n
n
n
n

n

Recommendations

Console paste operation not
disabled OR
Feature not exposed in vSPhere:
BIOSBBS is not disabled OR
Shrink virtual disk not disabled diskWiper OR
USB controller connected OR
Feature not exposed in vSPhere:
Monitor Control is not disabled
OR
Floppy drive connected OR
Feature not exposed in vSphere:
LaunchMenu is not disabled OR
Versionget is not disabled OR
Feature not exposed in vSphere:
Toporequest is not disabled OR
Feature not exposed in vSphere:
Unity-interlock not disabled OR
VM logging is not disabled OR
Feature not exposed in vSphere:
Unity is not disabled OR
Feature not exposed in vSphere:
Trashfolderstate is not disabled
OR
VGA only mode is not enabled
OR
Feature not exposed in vSphere:
Trayicon is not disabled OR
Feature not exposed in vSphere:
Unity-Taskbar is not disabled OR
Feature not exposed in vSphere:
Versionset is not disabled OR
VM console access via VNC
protocol is not disabled OR
Feature not exposed in vSphere:
Protocolhandler is not disabled
OR
VIX message is not disabled OR
Feature not exposed in vSphere:
Shellaction is not disabled OR
3D features is not disabled OR
Feature not exposed in vSphere:
Unity-Windowcontents is not
disabled OR
Feature not exposed in vSphere:
Unity-Unityactive is not disabled

Risk/Warning
These alert definitions have the following impact and criticality information.

184

Impact

Risk

Criticality

Warning

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Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptom

Recommendations

Virtual machine is demanding more
CPU than the configured limit.

Symptoms include all of the
following:
n Virtual machine CPU limit is set
n Virtual machine CPU demand
exceeds configured limit
n ! Virtual machine's CPU demand
exceeds its provisioned capacity

Increase of remove CPU limits on the
VM.

vSphere Distributed Switch Alert Definitions
The vCenter adapter provides alert definitions that generate alerts on the vSphere Distributed Switch objects
in your environment.

Health/Critical
These alert definitions have the following impact and criticality information.
Impact

Health

Criticality

Critical

Alert Definition

Symptom

Recommendations

Network traffic is blocked for one or
more ports.

Network traffic is blocked for one or
more ports.

Check the security policy on the port
groups as well as any ACL rule
configuration.

Health/Warning
These alert definitions have the following impact and criticality information.
Impact

Health

Criticality

Warning

Alert Definition

Symptom

Recommendations

Distributed Switch configuration is out
of sync.

Distributed Switch configuration is
out of sync with the vCenter Server.

Change the distributed switch
configuration to match the host.
Identify the distributed switch
properties that are out of sync. If these
properties were changed locally on the
host in order to maintain connectivity,
update the distributed switch
configuration in the vCenter Server.
Otherwise, re-apply the the
vCenter Server configuration to this
host.

One or more VLANs are unsupported
by the physical switch.

One or more VLANs are
unsupported by the physical switch.

Ensure the VLAN configuration on the
physical switch and the distributed
port groups are consistent.

Teaming configuration does not match
the physical switch.

Teaming configuration does not
match the physical switch.

Ensure the teaming configuration on
the physical switch and the distributed
switch are consistent.

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Alert Definition

Symptom

Recommendations

The MTU on the Distributed Switch is
not allowed by one or more VLANs on
the host.

The MTU on the Distributed Switch
is not allowed by one or more
VLANs on the host.

Ensure the MTU configuration on the
physical switch and the distributed
switch are consistent.

There is an MTU mismatch between
the host and a physical switch.

There is an MTU mismatch between
the host and a physical switch.

Adjust the MTU configuration on the
host to match the physical switch.
Change the MTU configuration on the
physical switch.

Risk/Warning
These alert definitions have the following impact and criticality information.
Impact

Risk

Criticality

Warning

Alert Definition

Symptom

Recommendations

The distributed switch configuration is
incorrect.

Host without redundant physical
connectivity to the distributed
switch.

Verify that at least two NICs on each
host is connected to the distributed
switch.

vCenter Server Alert Definitions
The vCenter adapter provides alert definitions that generate alerts on the vCenter Server objects in your
environment.

Health/Symptom-Based
These alert definitions have the following impact and criticality information.

186

Impact

Health

Criticality

Symptom-based

Alert Definition

Symptom

Recommendations

A problem occurred with a
vCenter Server component.

The vCenter Server health changed
(fault symptom).

The actions to take to resolve the
problems depend on the specific
problem that caused the fault. Review
the issue details, and check the
documentation.

Duplicate object name found in
thevCenter Server.

Duplicate object name found in the
vCenter Server.

Ensure the virtual machines names are
unique before enabling the NameBased Identification feature.

The vCenter Server Storage data
collection failed.

The vCenter Server storage data
collection failed.

Ensure vCenter Management
Webservice is started and Storage
Management Service is functioning.

VMware, Inc.

Chapter 3 Alert Definitions in vRealize Operations Manager

Datastore Alert Definitions
The vCenter adapter provides alert definitions that generate alerts on the datastore objects in your
environment.

Health/Symptom-Based
These alert definitions have the following impact and criticality information.
Impact

Health

Criticality

Symptom-based

Alert Definition

Symptom

Recommendations

Datastore has unexpected high Disk
I/O workload.

Symptoms include all of the
following:
n Datastore disk I/O workload at
warning/immediate/critical level
n Datastore disk I/O workload
above DT

1

Datastore is consuming disk space in a
rapid and unexpected manner.

Symptoms include all of the
following:
n Datastore space usage reaching
warning/immediate/critical level
n Datastore space growth above
DT
n Datastore time remaining high

2
1

2

3

Check the applications running on
the virtual machines placed on the
datastore to determine whether
high disk I/O workload is expected
behavior.
Increase IOPS for the datastore.
Check if there is an unexpected
provisioning of virtual machines
on this datastore.
Use vSphere Storage vMotion to
migrate some virtual machines to a
different datastore.
Add more capacity to the
datastore.

Health/Critical
These alert definitions have the following impact and criticality information.
Impact

Health

Criticality

Critical

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188

Alert Definition

Symptom

Recommendations

A storage device for a datastore has
been detected to be off.

Storage device has been turned off
administratively (fault symptom).

Ask the administrator about the device
state. The fault will be resolved and the
alert canceled if the device is turned
on. If SCSI devices are detached or
permanently removed, you must
manually cancel the alert.

Datastore has lost connectivity to a
storage device.

Host(s) lost connectivity to storage
device(s) (fault symptom).

The storage device path, for example,
vmhba35:C1:T0:L7, contains several
potential failure points: Path Element |
Failure Point
--------------------------------------- vmhba35
| HBA (Host Bus Adapter) C1 |
Channel T0 | Target (storage processor
port) L7 | LUN (Logical Unit Number
or Disk Unit).
To determine the cause of the failure or
to eliminate possible problems:
Identify the available storage paths to
the reported storage device by running
esxcfg-mpath - l. For more
information, see
http://kb.vmware.com/kb/1003973.
Check that a rescan does not restore
visibility to the targets. For
information on rescanning the storage
device by using the command-line
interface and the vSphere Client, see
http://kb.vmware.com/kb/1003988.
Determine whether the connectivity
issue is with the iSCSI storage or the
fiber storage.
Troubleshoot the connectivity to the
iSCSI storage by using the software
initiator:
1 Check whether a ping to the
storage array fails from ESX. For
more information, see
http://kb/vmware.com/kb/1003486
2 Check whether a vmkping to each
network portal of the storage array
fails. For more information,
seehttp://kb.vmware.com/kb/10037
828.
3 Check that the initiator is
registered on the array. For more
information, contact your storage
vendor.
4 Check that the following physical
hardware is functioning correctly:
Ethernet switch, Ethernet cables
between the switch and the ESX
host, and Ethernet cables between
the switch and the storage array.
To troubleshoot the connectivity to the
fiber-attached storage, check the fiber
switch. The fiber switch zoning
configuration permits the ESX host to
see the storage array. If you require
assistance, contact your switch vendor.
The fiber switch propagates RSCN

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Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptom

Recommendations
messages to the ESX hosts. For more
information about configuring the
fiber switch, see
http://kb.vmware.com/kb/1002301.
Finally, check the following physical
hardware: the storage processors on
the array, the fiber switch and the
Gigabit Interface Converter (GBIC)
units in the switch, the fiber cables
between the fiber switch and the array,
and the array itself.
You must rescan after making changes
to make sure that the targets are
detected. If storage connectivity is
restored for all of the affected host and
storage device combinations, the fault
is cleared and the alert canceled. If
storage connectivity for the devices
indicated is caused by a permanent
loss or change, you must cancel the
fault alert as a workaround. The alert
will then be canceled automatically.

Health/Immediate
These alert definitions have the following impact and criticality information.
Impact

Health

Criticality

Immediate

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190

Alert Definition

Symptom

Recommendations

Datastore has one or more hosts that
have lost redundant paths to a storage
device.

Host(s) lost redundancy to storage
device(s) (fault symptom).

The storage device path, for example,
vmhba35:C1:T0:L7, contains several
potential failure points:
Path Element | Failure Point
--------------------------------------- vmhba35
| HBA (Host Bus Adapter) C1 |
Channel T0 | Target (storage processor
port) L7 | LUN (Logical Unit Number
or Disk Unit).
Use the following guidance to
determine the cause of the failure or to
eliminate possible problems. Identify
the available storage paths to the
reported storage device by running
esxcfg-mpath - l. For more
information, see
http://kb.vmware.com/kb/1003973.
Check that a rescan does not restore
visibility to the targets. For
information on rescanning the storage
device by using the command-line
interface and the vSphere Client, see
http://kb.vmware.com/kb/1003988.
Determine whether the connectivity
issue is with the iSCSI storage or the
fiber storage. Troubleshoot the
connectivity to the iSCSI storage by
using the software initiator:
1 Check whether a ping to the
storage array fails from ESX. For
more information,
seehttp://kb/vmware.com/kb/10034
86.
2 Check whether a vmkping to each
network portal of the storage array
fails. For more information,
seehttp://kb.vmware.com/kb/10037
828.
3 Check that the initiator is
registered on the array. For more
information, contact your storage
vendor.
4 Check that the following physical
hardware is functioning correctly:
Ethernet switch, Ethernet cables
between the switch and the ESX
host, and Ethernet cables between
the switch and the storage array.
To troubleshoot the connectivity to the
fiber-attached storage, check the fiber
switch. The fiber switch zoning
configuration permits the ESX host to
see the storage array. If you require
assistance, contact your switch vendor.
The fiber switch propagates RSCN
messages to the ESX hosts. For more
information about configuring the
fiber switch,
seehttp://kb.vmware.com/kb/1002301.

VMware, Inc.

Chapter 3 Alert Definitions in vRealize Operations Manager

Alert Definition

Symptom

Recommendations
Finally, check the following physical
hardware: the storage processors on
the array, the fiber switch and the
Gigabit Interface Converter (GBIC)
units in the switch, the fiber cables
between the fiber switch and the array,
and the array itself. You must rescan
after making changes to make sure
that the targets are detected. If storage
connectivity is restored for all of the
affected host and storage device
combinations, the fault is cleared and
the alert canceled. If storage
connectivity for the devices indicated
is caused by a permanent loss or
change, you must cancel the fault alert
as a workaround. The alert will be
canceled automatically after that.

Risk/Symptom-Based
These alert definitions have the following impact and criticality information.
Impact

Risk

Criticality

Symptom-based

Alert Definition

Symptom

Recommendations

Datastore is running out of disk space.

Symptoms include all of the
following:
n Datastore space usage reaching
warning/immediate/critical level
n ! Datastore space growth above
DT
n Datastore space time remaining
is low

1

Datastore is projected to run out of
disk space.

VMware, Inc.

Symptoms include all of the
following:
n ! Datastore space usage reaching
warning level
n ! Datastore space growth above
DT
n Datastore space time remaining
is low

2

3
4
1

2

Add more capacity to the
datastore.
Use vSphere vMotion to migrate
some virtual machines to a
different datastore.
Delete unused snapshots of virtual
machines from datastore.
Delete any unused templates on
the datastore.
Check if datastore usage is a
planned growth and expand the
storage if necessary.
Use vSphere vMotion to migrate
some virtual machines to a
different datastore.

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Data Center Alert Definitions
The vCenter adapter provides alert definitions that generate alerts on the Data Center objects in your
environment.

Risk/Symptom-Based
These alert definitions have the following impact and criticality information:

192

Impact

Risk

Criticality

Symptom-based

Alert Definition

Symptoms

Recommendations

Data center has unbalanced CPU
"demand" workload.

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n DC is unbalanced on CPU
"demand" workload
n DC has significant CPU
"demand" workload difference
n At least one cluster in DC has
high CPU "demand" workload

Rebalance the container to spread the
workload more evenly.

Data center has unbalanced memory
"demand" workload.

Symptoms include all of the
following:
n DRS enabled
n DRS fully enabled
n DC is unbalanced on memory
"demand" workload difference
n At least one cluster in DC has
high memory "demand"
workload

Rebalance the container to spread the
workload more evenly.

Data center has unbalanced memory
"consumed" workload.

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n DC is unbalanced on memory
"consumed" workload
n DC has significant memory
"consumed" workload difference
n At least one cluster in DC has
high memory "consumed"
workload

Rebalance the container to spread the
workload more evenly.

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Chapter 3 Alert Definitions in vRealize Operations Manager

Custom Data Center Alert Definitions
The vCenter adapter provides alert definitions that generate alerts on the Custom Data Center objects in
your environment.

Risk/Symptom-Based
These alert definitions have the following impact and criticality information.
Impact

Risk

Criticality

Symptom-based

Alert Definition

Symptoms

Recommendations

Custom data center has unbalanced
CPU "demand" workload.

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n CDC is unbalanced on CPU
"demand" workload
n CDC has significant CPU
"demand" workload difference
n At least one cluster in CDC has
high CPU "demand" workload

Rebalance the container to spread the
workload more evenly.

Custom data center has unbalanced
memory "demand" workload.

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n CDC is unbalanced on memory
"demand" workload
n CDC has significant memory
"demand" workload difference
n At least one cluster in CDC has
high memory"demand" workload

Rebalance the container to spread the
workload more evenly.

Custom Datacenter has unbalanced
memory "consumed" workload.

Symptoms include all of the
following:
n DRS enabled
n DRS fully automated
n CDC is unbalanced on memory
"consumed" workload
n CDC has significant memory
"consumed" workload difference
n At least one cluster in CDC has
high memory"consumed"
workload

Rebalance the container to spread the
workload more evenly.

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194

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Index

A

M

AIX object type, metrics 107, 109–111, 114, 127,
128, 146
alert definitions
cluster compute resource 150
custom data center 193
data center 192
datastore 187
host system 154
vCenter server 186
virtual machine 177
vSphere distributed port group 176
vSphere distributed switch 185
alerts
vRealize Operations Manager 169
vSphere Web Client 176
analytics, properties 145

metrics
admin UI 89
analytics 82
badge 80
capacity 77
CaSa 90
cluster and slice administration 90
cluster 95
cluster compute resource 50
collector 86
congestion 109
controller 87
custom datacenter 64
datacenter 60
datastore 70
definitions 7
disk groups 112, 113, 147
disk group performance 108
distributed virtual port group 69
FSDB 87
host system 31
HTTP Check object type 128
ICMP Check object type 129
Linux object type 117
node 91
persistence 101
product UI 88
project-based 77
read cache capacity 108
remote collector 103
resource pool 58
self-monitoring 82
Solaris object type 121
storage pod 66
suite API 89
system 81
TCP Check object type 129
vCenter Server 8, 12
virtual machine 16
VMware distributed virtual switch 67
vSphere world 8
watchdog 91
Windows object type 124

B
badge, metrics 76, 80

C
capacity, metrics 76, 77
capacity metrics
read cache 108
write buffer 109
cluster, metrics 95
cluster compute resource, properties 141
congestion metrics, disk groups 109

D
data center, properties 142
datastore, properties 144
definitions
alerts 168
metrics 7
disk I/O metrics, disk groups 108
disk space metrics, disk groups 108
distributed virtual port group, properties 143

G
glossary 5

H
host system, properties 137

I
intended audience 5

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vRealize Operations Definitions for Metrics, Properties, and Alerts

Windows service 127
write buffer capacity 109
metrics for the vRealize Automation solution 107
multiprocess service, metrics 107, 109–111,
114, 127, 128, 146

V
vCenter adapter, properties 132
virtual machine, properties 132

W
write buffer metrics, disk groups 109

N
NFS metrics 128
node
metrics 91
properties 145

O
Operating Systems metrics 114
Operating Systems plug-in 114

P
project-based, metrics 77
properties
analytics 145
cluster compute resource 141
data center 142
datastore 144
defintions 131
distributed virtual port group 143
host system 137
node 145
remote collector 145
resource pool 141
self-monitoring 144
storage pod 143
vCenter adapter 132
virtual machine 132
vSAN disk groups 146

R
read cache metrics, disk groups 108
remote collector, properties 145
Remote Service Monitoring plug-in 128
Remote Service Monitoring plug-in metrics 114
resource pool, properties 141

S
Script service, metrics 107, 109–111, 114, 127,
128, 146
self-monitoring
metrics 82
properties 144
storage pod, properties 143
system, metrics 81

T
thresholds 131

196

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