VRealize Operations Definitions For Metrics, Properties, And Alerts Operations. Manager 6.6 V Realize 66 Reference
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- vRealize Operations Definitions for Metrics, Properties, and Alerts
- Contents
- About vRealize Operations Manager Reference for Metrics, Properties, and Alerts
- Metric Definitions in vRealize Operations Manager
- Metrics for vCenter Server Components
- Calculated Metrics
- Self-Monitoring Metrics for vRealize Operations Manager
- Metrics for vRealize Automation
- Metrics for vSAN
- Disk I/O and Disk Space Metrics for vSAN Disk Groups
- Read Cache Metrics for vSAN Disk Groups
- Write Buffer Metrics for vSAN Disk Groups
- Congestion Metrics for vSAN Disk Groups
- Metrics for vSAN Cluster
- Metrics for vSAN Enabled Host
- Metrics for vSAN Datastore
- Metrics for vSAN Cache Disk
- Metrics for vSAN Capacity Disk
- Metrics for vSAN World
- Metrics for the Operating Systems and Remote Service Monitoring Plug-ins in End Point Operations Management
- Property Definitions in vRealize Operations Manager
- Alert Definitions in vRealize Operations Manager
- Cluster Compute Resource Alert Definitions
- Host System Alert Definitions
- vRealize Automation Alert Definitions
- vSAN Alerts Definitions
- Alerts in the vSphere Web Client
- vSphere Distributed Port Group
- Virtual Machine Alert Definitions
- vSphere Distributed Switch Alert Definitions
- vCenter Server Alert Definitions
- Datastore Alert Definitions
- Data Center Alert Definitions
- Custom Data Center Alert Definitions
- Index
vRealize Operations Definitions for
Metrics, Properties, and Alerts
vRealize Operations Manager 6.6
vRealize Operations Definitions for Metrics, Properties, and Alerts
2 VMware, Inc.
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Contents
About vRealize Operations Manager Reference for Metrics, Properties, and Alerts 5
1Metric Denitions 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
2Property Denitions in vRealize Operations Manager 131
Properties for vCenter Server Components 131
Self-Monitoring Properties for vRealize Operations Manager 144
Properties for vSAN 146
3Alert Denitions in vRealize Operations Manager 149
Cluster Compute Resource Alert Denitions 150
Host System Alert Denitions 154
vRealize Automation Alert Denitions 168
vSAN Alerts Denitions 169
Alerts in the vSphere Web Client 176
vSphere Distributed Port Group 176
Virtual Machine Alert Denitions 177
vSphere Distributed Switch Alert Denitions 185
vCenter Server Alert Denitions 186
Datastore Alert Denitions 187
Data Center Alert Denitions 192
Custom Data Center Alert Denitions 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 denitions provided with vRealize Operations Manager.
Intended Audience
This information is intended for anyone who wants to install and congure vRealize Operations Manager by
using a virtual appliance deployment. The information is wrien 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 denitions
of terms as they are used in VMware technical documentation, go to
hp://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 denitions provide an overview of how the metric value is calculated or derived. If you understand
the metric, you can beer 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 denitions 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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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 le for the vCenter adapter. The following
example shows sensor metrics for the host system in the describe.xml le.
<ResourceGroup instanced="false" key="Sensor" nameKey="1350" validation="">
<ResourceGroup instanced="false" key="fan" nameKey="1351" validation="">
<ResourceAttribute key="currentValue" nameKey="1360" dashboardOrder="1"
dataType="float" defaultMonitored="false" isDiscrete="false" isRate="false" maxVal=""
minVal="" unit="percent"/>
<ResourceAttribute key="healthState" nameKey="1361" dashboardOrder="1" dataType="float"
defaultMonitored="false" isDiscrete="false" isRate="false" maxVal="" minVal="" />
</ResourceGroup>
<ResourceGroup instanced="false" key="temperature" nameKey="1352" validation="">
<ResourceAttribute key="currentValue" nameKey="1362" dashboardOrder="1"
dataType="float" defaultMonitored="false" isDiscrete="false" isRate="false" maxVal=""
minVal="" />
<ResourceAttribute key="healthState" nameKey="1363" dashboardOrder="1" dataType="float"
defaultMonitored="false" isDiscrete="false" isRate="false" maxVal="" minVal="" />
</ResourceGroup>
</ResourceGroup>
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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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 eciently. 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 ve 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 megaher.
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 megaher, during the interval.
nVM - Amount of actively used virtual CPU. This is the host's view of the
CPU usage, not the guest operating system view.
nHost - 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 congured 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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Table 1‑4. Network Metrics
Metric Name Description
net|Packets Dropped (%) This metric shoes the percentage of received and transmied 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 transmied 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 wrien 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 ve 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 o 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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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 denitions 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
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 megaher.
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 megaher.
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 megaher.
cpu|wait Wait (ms) CPU time spent on the idle state.
cpu|overhead_average Overhead Amount of CPU that is overhead.
vRealize Operations Definitions for Metrics, Properties, and Alerts
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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 wrien 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 wrien 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.
Chapter 1 Metric Definitions in vRealize Operations Manager
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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 user-
level 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
Metric Key Metric Name Description
net|droppedPct Packets Dropped (%) Percent network packets dropped.
net|usage_average Usage Rate (KBps) Sum of the data transmied 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 Transmied Number of packets transmied in the
performance interval.
net|droppedRx_summation Received Packets Dropped Number of received packets dropped in the
performance interval.
net|droppedTx_summation Transmied Packets Dropped Number of transmied packets dropped in the
performance interval.
vRealize Operations Definitions for Metrics, Properties, and Alerts
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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 Transmied
Throughput (KBps)
Max observed transmied rate of network
throughput.
net|maxObserved_Rx_KBps Max Observed Received
Throughput (KBps)
Max observed received rate of network
throughput.
net|transmied_average Data Transmit Rate (KBps) Average amount of data transmied 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.
Chapter 1 Metric Definitions in vRealize Operations Manager
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Virtual Machine Metrics
vRealize Operations Manager collects conguration, CPU use, memory, datastore, disk, virtual disk, guest
le 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
Conguration metrics provide information about virtual machine conguration.
Metric Description
Cong|Thin Provisioned Disk Thin Provisioned Disk.
Key: cong|hardware|thin_Enabled
Cong|Number of CPUs Number of CPUs for a Virtual Machine.
Key: cong|hardware|num_Cpu
Cong|Disk Space Disk space metrics.
Key: cong|hardware|disk_Space
CPU Usage Metrics for Virtual Machines
CPU usage metrics provide information about CPU use.
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|Eective Limit CPU Eective Limit.
Key: cpu|eective_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 congured
CPU Limit.
Key: cpu|demandOverLimit
CPU|Demand Over Capacity (MHz) Amount of CPU Demand that is over the congured
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 megaher.
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 megaher.
Key: cpu|usagemhz_average
CPU|System (ms) CPU time spent on system processes.
Key: cpu|system_summation
Chapter 1 Metric Definitions in vRealize Operations Manager
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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 seing.
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 Throled (%) (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 Congured Memory (KB) Guest operating system congured 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|Eective Limit Memory Eective Limit.
Key: mem|eective_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 congured
Memory Limit.
Key: mem|demandOverLimit
Mem|Demand Over Capacity Amount of Memory Demand that is over the congured
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.
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 specic 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 wrien to disk in the performance
interval.
Key: disk|write_average
Disk|Read Requests Number of times data was read from the disk in the
dened interval.
Key: disk|numberRead_summation
Disk|Write Requests Number of times data was wrien to the disk in the
dened 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 Conicts SCSI Reservation Conicts.
Key: disk|scsiReservationConicts_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 le system metrics provide information about guest le system capacity and free space.
Metric Description
Guest le system|Guest File System Capacity (MB) Total capacity on guest le system in megabytes.
Key: guestlesystem|capacity
Guest le system|Guest File System Free (MB) Total free space on guest le system in megabytes.
Key: guestlesystem|freespace
Guest le system|Guest File System Usage (%) Percent guest le system.
Key: guestlesystem|percentage
Guest le system|Guest File System Usage Total usage of guest le system.
Key: guestlesystem|usage
* Guest le system|Total Guest File System Free (GB) This metric displays the amount of free disk space from all le
systems aached 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: guestlesystem|freespace_total
* Guest le 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: guestlesystem|capacity_total
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Metric Description
* Guest le 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: guestlesystem|percentage_total
Guest le system|Total Guest File System Usage Total usage of guest le system.
Key: guestlesystem|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 transmied 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 Transmied per second Number of packets transmied 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|transmied_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 transmied 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 Transmied Throughput Max observed transmied 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 Transmied Number of packets transmied 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|Transmied Packets Dropped This metric shows the number of transmied 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 Transmied Number of broadcast packets transmied 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 transmied per second.
Key: net|bytesTx_average
Net|Multicast Packets Received Number of multicast packets received.
Key: net|multicastRx_summation
Net|Multicast Packets Transmied Number of multicast packets transmied.
Key: net|multicastTx_summation
Net|VM to Host Data Transmit Rate Average amount of data transmied per second between VM
and host.
Key: net|host_transmied_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 transmied and received for all the NIC
instances between VM and host.
Key: net|host_usage_average
Net|VM to Host Max Observed Transmied Throughput Max observed transmied 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 transmied 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 o, -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 dened
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 (Wa) Average power use in was.
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 les 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 ash devices.
Metric Description
vFlashModule|Latest Number of Active VM Disks Latest Number of Active VM Disks.
Key: vashModule|numActiveVMDKs_latest
Configuration Metrics for Host Systems
Conguration metrics provide information about host system conguration.
Metric Description
Conguration|Failover Hosts Failover Hosts.
Key: conguration|dasCong|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.
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 suers 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 aected 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 ve
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 megaher.
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 megaher.
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 megaher.
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 co-
scheduling 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|acvmWorkloadDisparityPcive_longterm_load
CPU|Active Host Load For Balance (Short Term) Active Host Load For Balance (Short Term).
Key: cpu|active_shorerm_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 ve
minutes, and at one-minute, ve-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 ve minutes,
past 15 minutes, and at one-minute, ve-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 Throled (%) (interval) Scheduling limit over the past minute, past ve 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.
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 Wrien Data Wrien.
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 wrien 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 specic 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
dened interval.
Key: disk|numberRead_summation
Disk|Write Requests Number of times data was wrien to the disk in the
dened 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 wrien 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 Conicts SCSI Reservation Conicts.
Key: disk|scsiReservationConicts_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 uctuations 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
rst 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_shorerm_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 Transmied per second This metric shows the number of packets transmied
during the collection interval.
Key: net|packetsTxPerSec
Net|Packets per second Number of packets transmied and received per second.
Key: net|packetsPerSec
Net|Usage Rate (KBps) The sum of the data transmied 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 Transmied Throughput Max observed transmied 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 transmied per second.
Key: net|transmied_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 Transmied Number of packets transmied 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|Transmied Packets Dropped Number of transmied packets dropped in the
performance interval.
Key: net|droppedTx_summation
* Net|Packets Dropped (%) This metric shows the percentage of received and
transmied 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 suers.
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 transmied 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 Transmied Number of broadcast packets transmied 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 Transmied Number of packets with errors transmied.
Key: net|errorsTx_summation
Net|Multicast Packets Received Number of multicast packets received.
Key: net|multicastRx_summation
Net|Multicast Packets Transmied Number of multicast packets transmied.
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 o, 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 ve-minute period.
Key: sys|resourceCpuAct5_latest
Sys|Resource CPU Alloc Max (MHz) Maximum resource CPU allocation in megaher.
Key: sys|resourceCpuAllocMax_latest
Sys|Resource CPU Alloc Min (MHz) Minimum resource CPU allocation in megaher.
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 ve-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 congured 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.
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 (Wa) Host power use in was.
Key: power|power_average
Power|Power Cap (Wa) Host power capacity in was.
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 o 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 Transmied Rate Replication Data Transmied 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 conguration, 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 denitions 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
Conguration metrics provide information about conguration seings.
Metric Description
Conguration|Failover Level DAS conguration failover level.
Key: conguration|dascong|failoverLevel
Conguration|Active Admission Control Policy DAS conguration active admission control policy.
Key: conguration|dascong|
activeAdministrationControlPolicy
Conguration|CPU Failover Resources Percent Percent CPU failover resources for DAS
conguration admission control policy.
Key: conguration|dascong|
adminissionControlPolicy|
cpuFailoverResourcesPercent
Conguration|Memory Failover Resources Percent Percent memory failover resources for DAS
conguration admission control policy.
Key: conguration|dascong|
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.
Metric Description
Diskspace|Virtual machine used (GB) Space used by virtual machine les 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 geing 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:
nCPU Ready
nCPU Co-stop
nPower management
nHyper 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
nd 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 ve
minutes.
Key: cpu|demandPct
CPU|Demand (MHz) Demand in megaher.
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 megaher.
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 megaher.
Key: cpu|reservedCapacity_average
CPU|Wait CPU time spent on idle state in milliseconds.
Key: cpu|wait
CPU|Usage (MHz) Average CPU use in megaher.
Key: cpu|usagemhz_average
CPU|Total Capacity Total CPU capacity in megaher.
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 Dierence of Max and Min host workload in the container.
Key: cpu|host_workload_disparity
CPU|Host stress Max-Min Disparity Dierence 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 dened
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 wrien 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 wrien 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 wrien 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 geing 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 dened 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 Dierence of Max and Min host workload in the container.
Key: mem|host_workload_disparity
Mem|Host stress Max-Min Disparity Dierence 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 transmied per second.
Key: net|transmied_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 Transmied Number of packets transmied 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|Transmied Packets Dropped Number of transmied packets dropped in the performance interval.
Key: net|droppedTx_summation
Net|Usage Rate (KBps) The sum of the data transmied 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 Transmied Throughput Max observed transmied 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.
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 wrien 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|Eective CPU Resources (MHz) VMware DRS eective CPU resources available.
Key: clusterServices|eectivecpu_average
ClusterServices|Eective Memory Resources (KB) VMware DRS eective memory resources available.
Key: clusterServices|eectivemem_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 (Wa) Average power use in was.
Key: power|power_average
Power|Power Cap (Wa) Average power capacity in was.
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 megaher, 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 conguration, CPU usage, memory, and summary metrics for
resource pool objects.
Resource Pool metrics include capacity and badge metrics. See denitions in:
n“Capacity and Project-Based Metrics,” on page 77
n“Badge Metrics,” on page 80
Configuration Metrics for Resource Pools
Conguration metrics provide information about memory and CPU allocation conguration.
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Table 1‑14. Configuration Metrics for Resource Pools
Metric Key Metric Name Description
cong|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 megaher.
cpu|capacity_contention Overall CPU Contention (ms) Overall CPU contention in
milliseconds.
cpu|usagemhz_average Usage Average CPU use in megaher.
cpu|eective_limit Eective limit CPU eective 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|eective_limit Eective Limit Memory Eective 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 Congured Memory (KB) Guest congured 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 denitions 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 megaher.
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 megaher.
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 megaher.
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 Dierence of Max and Min host
workload in the container.
cpu|host_stress_disparity Host stress Max-Min Disparity Dierence 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
wrien 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 Dierence of Max and Min host
workload in the container.
mem|host_stress_disparity Host stress Max-Min Disparity Dierence 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
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 Transmied
Throughput
Max observed transmied 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|transmied_average Data Transmit Rate Average amount of data transmied
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 transmied 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 wrien 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 denitions 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 Dierence 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 transmied 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 Transmied
Throughput
Max observed transmied rate of
network throughput.
net|maxObserved_Rx_KBps Max Observed Received
Throughput
Max observed received rate of network
throughput.
net|transmied_average Data Transmit Rate Average amount of data transmied 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 wrien 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 denitions in:
n“Capacity and Project-Based Metrics,” on page 77
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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 wrien 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 les.
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 denitions 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 Trac Total ingress trac (KBps).
network|port_statistics|
tx_bytes
Total Egress Trac Total egress trac (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 Trac (KBps) Max observed ingress trac (KBps).
network|port_statistics|
maxObserved_tx_bytes
Max Observed Egress Trac (KBps) Max observed egress trac (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
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|cong_outofsync Cong Out Of Sync Cong Out Of Sync.
host|aached_pnics Number of Aached pNICs Number of aached 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 denitions 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 Trac Ingress trac (KBps).
network|port_statistics|
tx_bytes
Egress Trac Egress trac (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 Trac (KBps) Max observed ingress trac (KBps).
network|port_statistics|
maxObserved_tx_bytes
Max Observed Egress Trac (KBps) Max observed egress trac (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.
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 lile 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|Uncommied Space (GB) Uncommied space in gigabytes.
Key: capacity|uncommied
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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
dened 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 wrien to disk in the performance
interval.
Key: devices|write_average
Devices|Write Requests Number of times data was wrien to the disk in the
dened 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 inuenced 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 beer
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
paern. For example, an anti-virus scan is heavy on
read since it is mostly reading the le 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
paern. For example, an anti-virus scan is heavy on
read since it is mostly reading the le 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 wrien 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.
nThe metrics named devices|numberReadAveraged_average and devices|numberWriteAveraged_average
are supported.
nThe 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 nished 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 le 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
aached 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 les 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 specic 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 les.
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 le that describes each adapter.
From data that the vCenter adapter collects, vRealize Operations Manager calculates metrics for objects of
type:
nvSphere World
nVirtual Machine
nHost System
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nDatastore
From data that the vRealize Operations Manager adapter collects, vRealize Operations Manager calculates
metrics for objects of type:
nNode
nCluster
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 denition 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
Prole
Provider Number of average-size consumers
that can t into the capacity
remaining. An average-size consumer
demands 50% of total capacity.
capacityRemainingUsingConsumers_small Capacity
Remaining for
Small
Consumer
Prole
Provider Number of small-size consumers that
can t into the capacity remaining. A
small-size consumer demands 0 - 33%
of the total capacity.
capacityRemainingUsingConsumers_mediu
m
Capacity
Remaining for
Medium
Consumer
Prole
Provider Number of medium-size consumers
that can t into the capacity
remaining. A medium-size consumer
demands 33-66% of the total capacity.
capacityRemainingUsingConsumers_large Capacity
Remaining for
Large
Consumer
Prole
Provider Number of large-size consumers that
can t 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)
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
seing. 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 seing. If not
set, the default period is 30 days. For
example, if a vSphere host is
congured 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
seing. 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 satises demand. Time is a
policy seing. 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 buers.
Capacity buer is a policy seing.
object.demand.percent Eective
Demand (%)
Both Percent capacity required by eective
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 seing.
actual.capacity Current size Both Actual capacity without buers
wastePercent Reclaimable
Capacity (%)
Both Percent of reclaimable capacity based
on consumer demand over time. Time
is a policy seing. If not set, the
default period is 30 days. For
example, if a vSphere host is
congured 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 buers.
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 dened 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 congured, 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|poweredO Powered O Indicates power state of an object.
Value of 1 means ON and value of 0
means OFF.
summary|
capacityRemainingUsingConsumers_average
Capacity Remaining
(Average consumer
prole)
Capacity remaining based on average
consumer demand.
summary|capacityRemainingUsingConsumers_small Capacity Remaining
(Small consumer
prole)
Capacity remaining based on small
consumer demand.
summary|
capacityRemainingUsingConsumers_medium
Capacity Remaining
(Medium consumer
prole)
Capacity remaining based on medium
consumer demand.
summary|capacityRemainingUsingConsumers_large Capacity Remaining
(Large consumer
prole)
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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Project-Based Metrics
Project-based metrics are calculated for a change in resources or demand that could aect 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
eciency of objects in your environment.
vRealize Operations Manager 6.x analyzes badge metric data at ve-minute averages, instead of hourly. As a
result, you might nd that eciency and risk badge calculations are more sensitive than in previous
versions. Badge metrics continue to be published nightly.
Table 1‑40. Badge Metrics
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|eciency Eciency Overall score for eciency. 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|eciency_classic Legacy Eciency The legacy eciency score computed on a scale
of 100 as per vCenter Operations Manager
version 5.x. For backward compatibility
purposes.
badge|eciency_state Eciency State Represents the state of the eciency 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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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 Aributes|health Self - Health Score System health score of self resource
System Aributes|all_metrics Self - Metric Count Number of metrics of self resource
System Aributes|ki_metrics Self - KPI Count Number of KPI metrics of self resource
System Aributes|active_alarms Self - Active Anomaly Count Number of active alarms of self
resource
System Aributes|new_alarms Self - New Anomaly Count Number of new alarms of self resource
System Aributes|active_ki_alarms Self - Active KPI Breach Count Number of active KPI alarms of self
resource
System Aributes|new_ki_alarms Self - New KPI Breach Count Number of new KPI alarms of self
resource
System Aributes|total_alarms Self - Total Anomalies Number of total alarms of self resource
System Aributes|change_index Self - Change Index Change index of self resource(100 -
health score)
System Aributes|child_all_metrics Full Set - Metric Count Number of metrics of child resources
System Aributes|child_ki_metrics Full Set - KPI Count Number of KPI metrics of child
resources
System Aributes|child_active_alarms Full Set - Active Anomaly Count Number of active alarms of child
resources
System Aributes|child_new_alarms Full Set - New Anomaly Count Number of new alarms of child
resources
System Aributes|
child_active_ki_alarms
Full Set - Active KPI Breach Count Number of active KPI alarms of child
resources
System Aributes|
child_new_ki_alarms
Full Set - New KPI Breach Count Number of new KPI alarms of child
resources
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Table 1‑41. System Metrics (Continued)
Metric Key Metric Name Description
System Aributes|availability Availability Resource availability (0-down, 1-Up,
-1-Unknown)
System Aributes|alert_count_critical Alert Count Critical Number of Critical alerts
System Aributes|
alert_count_immediate
Alert Count Immediate Number of Immediate alerts
System Aributes|
alert_count_warning
Alert Count Warning Number of Warning alerts
System Aributes|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
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
CommiedMemory Commied memory Commied memory
CPUUsage CPU usage CPU usage
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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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Table 1‑43. Overall Threshold Checking Metrics for the Analytics Service (Continued)
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
modications 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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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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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
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.
CommiedMemory Commied memory (MB) Amount of commied memory.
CPUUsage CPU usage CPU usage.
Threads Threads Number of threads.
UpStatus Up Status Up Status
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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 le 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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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.
CommiedMemory Commied memory Amount of commied 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
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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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).
CommiedMemory Commied memory Amount of commied 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
GemreClientReconnects Gemre Client Reconnects Gemre Client Reconnects
GemreClientCurrentCalls Gemre Client Total Outstanding Gemre Client Total Outstanding
CurrentHeapSize Current heap size Current heap size (MB) .
MaxHeapsize Max heap size Maximum heap size (MB) .
CommiedMemory Commied memory Amount of commied 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
GemreClientCalls|TotalRequests Total Requests Total Requests
GemreClientCalls|AvgResponseTime Average Response Time Average Response Time (ms)
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Table 1‑55. Gemfire Client Call Metrics for the Suite API (Continued)
Metric Key Metric Name Description
GemreClientCalls|MinResponseTime Minimum Response Time Minimum Response Time (ms)
GemreClientCalls|MaxResponseTime Maximum Response Time Maximum Response Time
GemreClientCalls|RequestsPerSecond Requests per Second Requests per Second
GemreClientCalls|CurrentRequests Current Requests Current Requests
GemreClientCalls|RequestsCount Requests Count Requests Count
GemreClientCalls|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).
CommiedMemory Commied memory Amount of commied memory (MB).
CPUUsage CPU usage CPU usage (%)
Threads Threads Number of threads.
Table 1‑58. API Call Metrics for Cluster and Slice Administration
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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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
Table 1‑63. Swap Metrics for the Node
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 1‑64. Resource Limit Metrics for the Node
Metric Key Metric Name Description
resourceLimit|numProcesses Number of processes Number of processes
resourceLimit|openFiles Number of open les Number of open les
resourceLimit|openFilesMax Number of open les maximum
limit
Number of open les maximum
limit
resourceLimit|numProcessesMax Number of processes maximum limit Number of processes maximum
limit
Table 1‑65. Network Metrics for the Node
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
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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|leSystem|total Total Total
disk|leSystem|available Available Available
disk|leSystem|used Used Used
disk|leSystem|les Total le nodes Total le nodes
disk|leSystem|lesFree Total free le nodes Total free le nodes
disk|leSystem|queue Disk queue Disk queue
disk|leSystem|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|leSystem|writeBytes Write bytes Number of bytes wrien
disk|leSystem|reads Reads Number of reads
disk|leSystem|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
Table 1‑70. Disk Log Metrics for the Node
Metric Key Metric Name Description
disk|log|used Used Used
disk|log|total Total Total
disk|log|available Available Available
Table 1‑71. CPU Metrics for the Node
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
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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 (%)
Table 1‑72. Device Metrics for the Node
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.
Table 1‑73. Service Metrics for the Node
Metric Key Metric Name Description
service|proc|fdUsage Total number of open le descriptors Total number of open le
descriptors.
Table 1‑74. NTP Metrics for the Node
Metric Key Metric Name Description
ntp|serverCount Congured server count Congured 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.
Table 1‑75. Heap Metrics for the Node
Metric Key Metric Name Description
heap|CurrentHeapSize Current heap size Current heap size
heap|MaxHeapSize Max heap size Max heap size
heap|CommiedMemory Commied Memory Commied Memory
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
Metric Key Metric Name Description
cc|isRunning Running Running
cc|runTime Total Run Time Total Run Time
cc|startTime Start time Start time
cc|nishTime 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
Gemre metrics provide information about the Gemre cluster.
Table 1‑79. Gemfire cluster Metrics for the Cluster
Metric Key Metric Name Description
GemreCluster|System|AvgReads Average reads per second The average number of reads per
second for all members
GemreCluster|System|AvgWrites Average writes per second The average number of writes per
second for all members
GemreCluster|System|DiskReadsRate Disk reads rate The average number of disk reads per
second across all distributed members
GemreCluster|System|DiskWritesRate Disk writes rate The average number of disk writes
per second across all distributed
members
GemreCluster|System|
GarbageCollectionCount
Total garbage collection count The total garbage collection count for
all members
GemreCluster|System|
GarbageCollectionCountDelta
New garbage collection count The new garbage collection count for
all members
GemreCluster|System|JVMPauses JVM pause count The number of detected JVM pauses
GemreCluster|System|JVMPausesDelta New JVM pause count The number of new detected JVM
pauses
GemreCluster|System|
DiskFlushAvgLatency
Disk ush average latency Disk ush average latency (msec)
GemreCluster|System|
NumRunningFunctions
Number of running functions The number of map-reduce jobs
currently running on all members in
the distributed system
GemreCluster|System|NumClients Number of clients The number of connected clients
GemreCluster|System|TotalHitCount Total hit count Total number of cache hits for all
regions
GemreCluster|System|
TotalHitCountDelta
New hit count Number of new cache hits for all
regions
GemreCluster|System|TotalMissCount Total miss count The total number of cache misses for
all regions
GemreCluster|System|
TotalMissCountDelta
New miss count Number of new cache misses for all
regions
GemreCluster|System|Member|
FreeSwapSpace
Swap space free Swap space free (MB)
GemreCluster|System|Member|
TotalSwapSpace
Swap space total Swap space total (MB)
GemreCluster|System|Member|
CommiedVirtualMemorySize
Commied virtual memory size Commied virtual memory size (MB)
GemreCluster|System|Member|
SystemLoadAverage
System load average System load average
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Table 1‑79. Gemfire cluster Metrics for the Cluster (Continued)
Metric Key Metric Name Description
GemreCluster|System|Member|
FreePhysicalMemory
Free physical memory Free physical memory (MB)
GemreCluster|System|Member|
TotalPhysicalMemory
Total physical memory Total physical memory (MB)
GemreCluster|System|Member|
CacheListenerCallsAvgLatency
Average cache listener calls latency Average cache listener calls latency
(msec)
GemreCluster|System|Member|
CacheWriterCallsAvgLatency
Average cache writer calls latency Average cache writer calls latency
(msec)
GemreCluster|System|Member|
DeserializationAvgLatency
Average deserialization latency Average deserialization latency
(msec)
GemreCluster|System|Member|
FunctionExecutionRate
Function executions per second Function executions per second
GemreCluster|System|Member|
JVMPauses
Number of JVM pauses Number of JVM pauses
GemreCluster|System|Member|
NumRunningFunctions
Number of running functions Number of running functions
GemreCluster|System|Member|
PutsRate
Puts per second Puts per second
GemreCluster|System|Member|
GetsRate
Gets per second Gets per second
GemreCluster|System|Member|
GetsAvgLatency
Average gets latency Average gets latency (msec)
GemreCluster|System|Member|
PutsAvgLatency
Average puts latency Average puts latency (msec)
GemreCluster|System|Member|
SerializationAvgLatency
Average serialization latency Average serialization latency (msec)
GemreCluster|System|Member|Disk|
DiskFlushAvgLatency
Flush average latency Flush average latency (msec)
GemreCluster|System|Member|Disk|
DiskReadsRate
Average reads per second Average reads per second
GemreCluster|System|Member|Disk|
DiskWritesRate
Average writes per second Average writes per second
GemreCluster|System|Member|
Network|BytesReceivedRate
Average received bytes per second Average received bytes per second
GemreCluster|System|Member|
Network|BytesSentRate
Average sent bytes per second Average sent bytes per second
GemreCluster|System|Member|JVM|
GCTimeMillis
Garbage Collection time Total amount of time spent on
garbage collection
GemreCluster|System|Member|JVM|
GCTimeMillisDelta
New Garbage Collection time New amount of time spent on
garbage collection
GemreCluster|System|Member|JVM|
TotalThreads
Total threads Total threads
GemreCluster|System|Member|JVM|
CommitedMemory
Commied Memory Commied Memory (MB)
GemreCluster|System|Member|JVM|
MaxMemory
Max Memory Max Memory (MB)
GemreCluster|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
GemreCluster|Region|
SystemRegionEntryCount
Entry Count Entry Count
GemreCluster|Region|DestroyRate Destroys per second Destroys per second
GemreCluster|Region|CreatesRate Creates per second Creates per second
GemreCluster|Region|GetsRate Gets per second Gets per second
GemreCluster|Region|BucketCount Bucket count Bucket count
GemreCluster|Region|AvgBucketSize Average number of entries per
bucket
Average number of entries per bucket
GemreCluster|Region|Member|
ActualRedundancy
Actual redundancy Actual redundancy
GemreCluster|Region|Member|
BucketCount
Bucket count Bucket count
GemreCluster|Region|Member|
AvgBucketSize
Average number of entries per
bucket
Average number of entries per bucket
GemreCluster|Region|Member|
CreatesRate
Creates per second Creates per second
GemreCluster|Region|Member|
GetsRate
Gets per second Gets per second
GemreCluster|Region|Member|
DestroyRate
Destroys per second Destroys per second
GemreCluster|Region|Member|
MissCount
Number of misses count Number of cache misses
GemreCluster|Region|Member|
MissCountDelta
Number of new cache misses Number of new cache misses
GemreCluster|Region|Member|
HitCount
Number of hits count Number of cache hits
GemreCluster|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
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 conguration properties and their changes.
Table 1‑88. Historical XDB Metrics for Persistence
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 submied
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 les Number of open les
resourceLimit|openFilesMax Number of open les maximum
limit
Number of open les maximum
limit
resourceLimit|numProcessesMax Number of processes maximum limit Number of processes maximum
limit
Table 1‑93. Network Metrics for the Remote Collector
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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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|leSystem|total Total Total
disk|leSystem|available Available Available
disk|leSystem|used Used Used
disk|leSystem|les Total le nodes Total number of le nodes
disk|leSystem|lesFree Total free le nodes Total free le nodes
disk|leSystem|queue Disk queue Disk queue
disk|leSystem|readBytes Read bytes Number of bytes read
disk|leSystem|writeBytes Write bytes Number of bytes wrien
disk|leSystem|reads Reads Number of reads
disk|leSystem|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
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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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 le descriptors Total number of open le
descriptors (Linux). Total number
of open handles (Windows)
Table 1‑102. NTP Metrics for the Remote Collector
Metric Key Metric Name Description
ntp|serverCount Congured server count Congured 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 lters 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 congured 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 lter 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 lter 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 lter. If you delete the
Managed Resources object, you must manually congure the widgets in the dashboard and select the
Managed Resources object as a lter 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:
nDisk I/O|Reads Per Second (IOPS)
nDisk I/O|Writes Per Second (IOPS
nDisk I/O|Max Observed Reads Per Second (IOPS)
nDisk I/O|Max Observed Writes Per Second (IOPS)
nDisk I/O|Throughput Read (bps)
nDisk I/O|Throughput Write (bps)
nDisk I/O|Average Read Latency (ms)
nDisk I/O|Average Write Latency (ms)
nDisk I/O|Read Count
nDisk I/O|Write Count
nDisk I/O|Average Device Latency
nDisk I/O|Average Device Read Latency
nDisk I/O|Average Device Write Latency
nDisk I/O|Total Bus Resets
nDisk I/O|Total Commands Aborted per second
nDisk I/O|Total Number of Errors
Disk space metrics for vSAN disk groups include:
nDisk Space|Capacity (bytes)
nDisk Space|Used (bytes)
nDisk 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-ash conguration.
Read cache metrics for the vSAN disk group include:
nRead Cache|Hit Rate (%)
nRead Cache|Miss Rate Ratio
nRead Cache|Read Cache Reads Per Second (IOPS)
nRead Cache|Read Cache Read Latency (ms)
nRead Cache|Read Cache Read I/O Count
nRead Cache|Read Cache Writes Per Second (IOPS)
nRead Cache|Read Cache Write Latency (ms)
nRead Cache|Read Cache Write I/O Count
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Write Buffer Metrics for vSAN Disk Groups
The vRealize Operations Manager collects the metrics you use to monitor the write buer capacity of your
vSAN disk groups.
A reasonably balanced system consumes a signicant amount of write buer. Before placing additional
workload on the vSAN, check the write buer metrics for the vSAN disk group.
nWrite Buer|Capacity (bytes)
nWrite Buer|Free (%)
nWrite Buer|Usage (%)
nWrite Buer|Used (byte)
nWrite Buer|Write Buer Reads Per Second (IOPS)
nWrite Buer|Write Buer Read Latency (ms)
nWrite Buer|Write Buer Read I/O Count
nWrite Buer|Write Buer Writes Per Second (IOPS)
nWrite Buer|Write Buer Write Latency (ms)
nWrite Buer|Write Buer Write I/O Count
Congestion Metrics for vSAN Disk Groups
The vRealize Operations Manager collects congestion metrics for the vSAN disk group.
nCongestion| Memory Congestion - Favorite
nCongestion| SSD Congestion - Favorite
nCongestion| IOPS Congestion - Favorite
nCongestion| Slab Congestion
nCongestion| Log Congestion
nCongestion| 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 nvSAN|Component Limit|Component Limit Used (%)
nvSAN|Component Limit|Total Component Limit
nvSAN|Component Limit|Used Component Limit
Disk Space nvSAN|Disk Space|Disk Space Used (%)
nvSAN|Disk Space|Total Disk Space (GB)
nvSAN|Disk Space|Used Disk Space (GB)
Read Cache nvSAN|Read Cache|Read Cache Reserved (%)
nvSAN|Read Cache|Reserved Read Cache Size (GB)
nvSAN|Read Cache|Total Read Cache Size (GB)
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Component Metrics
Performance nvSAN|Read Cache|Reads Per Second (IOPS)
nvSAN|Read Cache|Read Throughput (KBps)
nvSAN|Read Cache|Average Read Latency (ms)
nvSAN|Read Cache|Writes Per Second (IOPS)
nvSAN|Read Cache|Write Throughput (KBps)
nvSAN|Read Cache|Average Write Latency (ms)
nvSAN|Read Cache|Congestion
nvSAN|Read Cache|Outstanding I/O
nvSAN|Read Cache|Total IOPS
nvSAN|Read Cache|Total Latency (ms)
nvSAN|Read Cache|Total Throughput (KBps)
Deduplication And Compression
Overview
nvSAN|Deduplication And Compression Overview|Used Before
nvSAN|Deduplication And Compression Overview|Used After
nvSAN|Deduplication And Compression Overview|Savings
nvSAN|Deduplication And Compression Overview|Ratio
Summary nSummary|Number of Cache Disks
nSummary|Total Number of Capacity Disks
nSummary|CPU Workload
nSummary|Memory Workload
nSummary|Total Number of Disk Groups
nSummary|Total Active Alerts Count
nSummary|Total Number of VMs
nSummary|Total Number of Hosts
nSummary|vSAN Cluster Capacity Remaining (%)
nSummary|VSAN Cluster Storage Time Remaining
nSummary|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 nvSAN|Component Limit|Component Limit Used (%)
nvSAN|Component Limit|Total Component Limit
nvSAN|Component Limit|Used Component Limit
Disk Space nvSAN|Disk Space|Disk Space Used (%)
nvSAN|Disk Space|Total Disk Space (GB)
nvSAN|Disk Space|Used Disk Space (GB)
Read Cache nvSAN|Read Cache|Read Cache Reserved (%)
nvSAN|Read Cache|Reserved Read Cache Size (GB)
nvSAN|Read Cache|Total Read Cache Size (GB)
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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:
nDatastore I/O|Reads Per Second (IOPS)
nDatastore I/O|Read Rate (KBps)
nDatastore I/O|Read Latency (ms)
nDatastore I/O|Writes Per Second (IOPS)
nDatastore I/O|Write Rate (KBps)
nDatastore I/O|Write Latency (ms)
nDatastore I/O|Outstanding I/O requests
nDatastore 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 nPerformance|Bus Resets
nPerformance|Commands Aborted Per Second
nPerformance|Device Latency (ms)
nPerformance|Device Read Latency (ms)
nPerformance|Device Write Latency (ms)
nPerformance|Read Requests Per Second
nPerformance|Average Reads Per Second
nPerformance|Write Requests Per Second
nPerformance|Average Writes Per Second
nPerformance|Read Rate
nPerformance|Write Rate
nPerformance|Usage
nPerformance|HDD Errors
SCSI SMART Statistics nSCSI SMART Statistics|Health Status
nSCSI SMART Statistics|Media Wearout Indicator
nSCSI SMART Statistics|Write Error Count
nSCSI SMART Statistics|Read Error Count
nSCSI SMART Statistics|Power on Hours
nSCSI SMART Statistics|Reallocated Sector Count
nSCSI SMART Statistics|Raw Read Error Rate
nSCSI SMART Statistics|Drive Temperature
nSCSI SMART Statistics|Maximum Observed Drive Temperature
nSCSI SMART Statistics|Drive Rated Max Temperature
nSCSI SMART Statistics|Write Sectors TOT Count
nSCSI SMART Statistics|Read Sectors TOT Count
nSCSI SMART Statistics|Initial Bad Block Count
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Component Metrics
Capacity nvSAN|Health|Capacity|Total Disk Capacity (GB)
nvSAN|Health|Capacity|Used Disk Capacity (GB)
Congestion Health nvSAN|Health|Congestion Health|Congestion Value
Performance nvSAN|Performance|Physical Layer Reads Per Second
nvSAN|Performance|Physical Layer Writes Per Second
nvSAN|Performance|Physical Layer Read Throughput (KBps)
nvSAN|Performance|Physical Layer Write Throughput (KBps)
nvSAN|Performance|Physical Layer Read Latency (ms)
nvSAN|Performance|Physical Layer Write Latency (ms)
nvSAN|Performance|Physical Layer Read Count
nvSAN|Performance|Physical Layer Write Count
nvSAN|Performance|Device Average Latency (ms)
nvSAN|Performance|Guest Average Latency (ms)
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 nPerformance|Bus Resets
nPerformance|Commands Aborted Per Second
nPerformance|Device Latency (ms)
nPerformance|Device Read Latency (ms)
nPerformance|Device Write Latency (ms)
nPerformance|Read Requests Per Second
nPerformance|Average Reads Per Second
nPerformance|Write Requests Per Second
nPerformance|Average Writes Per Second
nPerformance|Read Rate
nPerformance|Write Rate
nPerformance|Usage
nPerformance|HDD Errors
SCSI SMART Statistics nSCSI SMART Statistics|Health Status
nSCSI SMART Statistics|Media Wearout Indicator
nSCSI SMART Statistics|Write Error Count
nSCSI SMART Statistics|Read Error Count
nSCSI SMART Statistics|Power on Hours
nSCSI SMART Statistics|Reallocated Sector Count
nSCSI SMART Statistics|Raw Read Error Rate
nSCSI SMART Statistics|Drive Temperature
nSCSI SMART Statistics|Maximum Observed Drive Temperature
nSCSI SMART Statistics|Drive Rated Max Temperature
nSCSI SMART Statistics|Write Sectors TOT Count
nSCSI SMART Statistics|Read Sectors TOT Count
nSCSI SMART Statistics|Initial Bad Block Count
Capacity nvSAN|Health|Total Disk Capacity (GB)
nvSAN|Health|Used Disk Capacity (GB)
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Component Metrics
Congestion Health vSAN|Health|Congestion Value
Performance nvSAN|Performance|Physical Layer Reads Per Second
nvSAN|Performance|Physical Layer Writes Per Second
nvSAN|Performance|Physical Layer Read Throughput (KBps)
nvSAN|Performance|Physical Layer Write Throughput (KBps)
nvSAN|Performance|Physical Layer Read Latency (ms)
nvSAN|Performance|Physical Layer Write Latency (ms)
nvSAN|Performance|Physical Layer Read Count
nvSAN|Performance|Physical Layer Write Count
nvSAN|Performance|Device Average Latency (ms)
nvSAN|Performance|Guest Average Latency (ms)
nvSAN|Performance|vSAN Layer Reads Per Second
nvSAN|Performance|vSAN Layer Writes Per Second
nvSAN|Performance|vSAN Layer Read Latency (ms)
nvSAN|Performance|vSAN Layer Write Latency (ms)
nvSAN|Performance|vSAN Layer Read Count
nvSAN|Performance|vSAN Layer Write Count
Properties for vSAN capacity disk include:
nName
nSize
nVendor
nType
nQueue 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:
nSummary|Total Number of VMs
nSummary|Total Number of Hosts
nSummary|Total IOPS
nSummary|Total Latency
nSummary|Total Number of Clusters
nSummary|Total Number of DiskGroups
nSummary|Total Number of Cache Disks
nSummary|Total Number of Capacity Disks
nSummary|Total Number of Datastores
nSummary|Total vSAN Disk Capacity (TB)
nSummary|Total vSAN Disk Capacity Used (TB)
nSummary|Remaining Capacity (TB)
nSummary|Remaining Capacity (%)
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nSummary|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
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 Aempt 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 Aempt 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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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 Getar per Minute UTILIZATION False
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Table 1‑104. AIX metrics (Continued)
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 Setar per Minute UTILIZATION False
Nfs Server V3 Setar 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 Getar 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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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 Aempt 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)
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 Aempt 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 (+ buers/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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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 Getar 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 Setar per Minute UTILIZATION False
Nfs Server V3 Setar 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 Getar UTILIZATION False
Nfs Server V3 Rmdir UTILIZATION False
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Table 1‑105. Linux Metrics (Continued)
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 (- buers/cache) UTILIZATION False
User Cpu UTILIZATION False
User Cpu Time per Minute UTILIZATION False
Used Memory UTILIZATION False
Zombie Processes UTILIZATION False
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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 Aempt 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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Table 1‑106. Solaris Metrics (Continued)
Name Category KPI
Tcp Aempt 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 Getar 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
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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 Setar per Minute UTILIZATION False
Nfs Server V3 Setar 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 Getar 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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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
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 Aempt 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
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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 Aempt 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 % Commied 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 Commied 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 Modied 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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Table 1‑107. Microsoft Windows Metrics (Continued)
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
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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
Chapter 1 Metric Definitions in vRealize Operations Manager
VMware, Inc. 127
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 le 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
Name Category KPI
Resource Availability AVAILABILITY True
Last Modied AVAILABILITY False
State CLOSE THROUGHPUT False
State CLOSE_WAIT THROUGHPUT False
State ESTABLISHED THROUGHPUT False
Inbound Connections THROUGHPUT False
State TIME_WAIT THROUGHPUT False
vRealize Operations Definitions for Metrics, Properties, and Alerts
128 VMware, Inc.
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
Chapter 1 Metric Definitions in vRealize Operations Manager
VMware, Inc. 129
Table 1‑113. TCP Check Metrics (Continued)
Name Category KPI
State SYN_RECV THROUGHPUT False
State FIN_WAIT1 THROUGHPUT False
vRealize Operations Definitions for Metrics, Properties, and Alerts
130 VMware, Inc.
Property Definitions in vRealize
Operations Manager 2
Properties are aributes of objects in the vRealize Operations Manager environment. You use properties in
symptom denitions. 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 denitions 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 denition so that you are notied 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 dene 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 Classication and Subclassication properties for every
object. You can use object type classication 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 le for the vCenter adapter. The following
example shows the runtime property memoryCap or Memory Capacity for the virtual machine in the
describe.xml.
<ResourceGroup instanced="false" key="runtime" nameKey="5300" validation="">
<ResourceAttribute key="memoryCap" nameKey="1780" dashboardOrder="200" dataType="float"
defaultMonitored="true" isDiscrete="false" isRate="false" maxVal=""
minVal="" isProperty="true" unit="kb"/>
</ResourceGroup>
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.
VMware, Inc. 131
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 conguration, runtime, CPU, memory, network I/O, summary, guest
le 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
Property Key Property Name Description
cong|name Name Name
cong|guestFullName Guest Fullname Guest OS full name congured by the
user.
cong|hardware|numCpu Number of virtual CPUs Number of virtual CPUs
cong|hardware|memoryKB Memory Memory
vRealize Operations Definitions for Metrics, Properties, and Alerts
132 VMware, Inc.
Table 2‑6. Configuration Properties Collected for Virtual Machine Objects (Continued)
Property Key Property Name Description
cong|hardware|thinEnabled Thin Provisioned Disk Indicates whether thin provisioning is
enabled
cong|hardware|diskSpace Disk Space Disk Space
cong|cpuAllocation|reservation Reservation CPU reservation
cong|cpuAllocation|limit Limit CPU limit
cong|cpuAllocation|shares|shares Shares CPU shares
cong|memoryAllocation|reservation Reservation CPU reservation
cong|memoryAllocation|limit Limit Limit
cong|memoryAllocation|shares|shares Shares Memory shares
cong|extraCong|mem_hotadd Memory Hot Add Memory Hot Add Conguration
cong|extraCong|vcpu_hotadd VCPU Hot Add VCPU Hot Add Conguration
cong|extraCong|vcpu_hotremove VCPU Hot Remove VCPU Hot Remove Conguration
cong|security|disable_autoinstall Disable tools auto install
(isolation.tools.autoInstall.disable)
Disable tools auto install
(isolation.tools.autoInstall.disable)
cong|security|disable_console_copy Disable console copy operations
(isolation.tools.copy.disable)
Disable console copy operations
(isolation.tools.copy.disable)
cong|security|disable_console_dnd Disable console drag and drop
operations
(isolation.tools.dnd.disable)
Disable console drag and drop
operations
(isolation.tools.dnd.disable)
cong|security|
enable_console_gui_options
Enable console GUI operations
(isolation.tools.setGUIOptions.ena
ble)
Enable console GUI operations
(isolation.tools.setGUIOptions.enable)
cong|security|disable_console_paste Disable console paste operations
(isolation.tools.paste.disable)
Disable console paste operations
(isolation.tools.paste.disable)
cong|security|
disable_disk_shrinking_shrink
Disable virtual disk shrink
(isolation.tools.diskShrink.disable)
Disable virtual disk shrink
(isolation.tools.diskShrink.disable)
cong|security|
disable_disk_shrinking_wiper
Disable virtual disk wiper
(isolation.tools.diskWiper.disable)
Disable virtual disk wiper
(isolation.tools.diskWiper.disable)
cong|security|disable_hgfs Disable HGFS le transfers
(isolation.tools.hgfsServerSet.disab
le)
Disable HGFS le transfers
(isolation.tools.hgfsServerSet.disable)
cong|security|
disable_independent_nonpersistent
Avoid using independent
nonpersistent disks (scsiX:Y.mode)
Avoid using independent
nonpersistent disks (scsiX:Y.mode)
cong|security|enable_intervm_vmci Enable VM-to-VM communication
through VMCI
(vmci0.unrestricted)
Enable VM-to-VM communication
through VMCI (vmci0.unrestricted)
cong|security|enable_logging Enable VM logging (logging) Enable VM logging (logging)
cong|security|disable_monitor_control Disable VM Monitor Control
(isolation.monitor.control.disable)
Disable VM Monitor Control
(isolation.monitor.control.disable)
cong|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)
cong|security|
disable_unexposed_features_autologon
Disable unexposed features -
autologon
(isolation.tools.ghi.autologon.disa
ble)
Disable unexposed features -
autologon
(isolation.tools.ghi.autologon.disable)
Chapter 2 Property Definitions in vRealize Operations Manager
VMware, Inc. 133
Table 2‑6. Configuration Properties Collected for Virtual Machine Objects (Continued)
Property Key Property Name Description
cong|security|
disable_unexposed_features_biosbbs
Disable unexposed features -
biosbbs (isolation.bios.bbs.disable)
Disable unexposed features - biosbbs
(isolation.bios.bbs.disable)
cong|security|
disable_unexposed_features_getcreds
Disable unexposed features -
getcreds
(isolation.tools.getCreds.disable)
Disable unexposed features - getcreds
(isolation.tools.getCreds.disable)
cong|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)
cong|security|
disable_unexposed_features_memsfss
Disable unexposed features -
memsfss
(isolation.tools.memSchedFakeSa
mpleStats.disable)
Disable unexposed features - memsfss
(isolation.tools.memSchedFakeSampl
eStats.disable)
cong|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)
cong|security|
disable_unexposed_features_shellaction
Disable unexposed features -
shellaction
(isolation.ghi.host.shellAction.disa
ble)
Disable unexposed features -
shellaction
(isolation.ghi.host.shellAction.disable
)
cong|security|
disable_unexposed_features_toporequest
Disable unexposed features -
toporequest
(isolation.tools.dispTopoRequest.d
isable)
Disable unexposed features -
toporequest
(isolation.tools.dispTopoRequest.disa
ble)
cong|security|
disable_unexposed_features_trashfolderst
ate
Disable unexposed features -
trashfolderstate
(isolation.tools.trashFolderState.di
sable)
Disable unexposed features -
trashfolderstate
(isolation.tools.trashFolderState.disab
le)
cong|security|
disable_unexposed_features_trayicon
Disable unexposed features -
trayicon
(isolation.tools.ghi.trayicon.disabl
e)
Disable unexposed features - trayicon
(isolation.tools.ghi.trayicon.disable)
cong|security|
disable_unexposed_features_unity
Disable unexposed features - unity
(isolation.tools.unity.disable)
Disable unexposed features - unity
(isolation.tools.unity.disable)
cong|security|
disable_unexposed_features_unity_interlo
ck
Disable unexposed features -
unity-interlock
(isolation.tools.unityInterlockOper
ation.disable)
Disable unexposed features - unity-
interlock
(isolation.tools.unityInterlockOperati
on.disable)
cong|security|
disable_unexposed_features_unity_taskba
r
Disable unexposed features -
unity-taskbar
(isolation.tools.unity.taskbar.disabl
e)
Disable unexposed features - unity-
taskbar
(isolation.tools.unity.taskbar.disable)
cong|security|
disable_unexposed_features_unity_unitya
ctive
Disable unexposed features -
unity-unityactive
(isolation.tools.unityActive.disable
)
Disable unexposed features - unity-
unityactive
(isolation.tools.unityActive.disable)
cong|security|
disable_unexposed_features_unity_windo
wcontents
Disable unexposed features -
unity-windowcontents
(isolation.tools.unity.windowCont
ents.disable)
Disable unexposed features - unity-
windowcontents
(isolation.tools.unity.windowContent
s.disable)
vRealize Operations Definitions for Metrics, Properties, and Alerts
134 VMware, Inc.
Table 2‑6. Configuration Properties Collected for Virtual Machine Objects (Continued)
Property Key Property Name Description
cong|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)
cong|security|
disable_unexposed_features_versionget
Disable unexposed features -
versionget
(isolation.tools.vmxDnDVersionGe
t.disable)
Disable unexposed features -
versionget
(isolation.tools.vmxDnDVersionGet.d
isable)
cong|security|
disable_unexposed_features_versionset
Disable unexposed features -
versionset
(solation.tools.guestDnDVersionSe
t.disable)
Disable unexposed features -
versionset
(solation.tools.guestDnDVersionSet.di
sable)
cong|security|disable_vix_messages Disable VIX messages from the
VM
(isolation.tools.vixMessage.disable
)
Disable VIX messages from the VM
(isolation.tools.vixMessage.disable)
cong|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)
cong|security|limit_console_connection Limit number of console
connections
(RemoteDisplay.maxConnection)
Limit number of console connections
(RemoteDisplay.maxConnection)
cong|security|limit_log_number Limit number of log les
(log.keepOld)
Limit number of log les
(log.keepOld)
cong|security|limit_log_size Limit log le size (log.rotateSize) Limit log le size (log.rotateSize)
cong|security|limit_setinfo_size Limit VMX le size
(tools.setInfo.sizeLimit)
Limit VMX le size
(tools.setInfo.sizeLimit)
cong|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)
cong|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)
cong|security|
disable_device_interaction_edit
Disable unauthorized modication
of devices
(isolation.device.edit.disable)
Disable unauthorized modication of
devices (isolation.device.edit.disable)
cong|security|enable_host_info Enable send host information to
guests
(tools.guestlib.enableHostInfo)
Enable send host information to
guests (tools.guestlib.enableHostInfo)
cong|security|network_lter_enable Enable dvlter network APIs
(ethernetX.lterY.name)
Enable dvlter network APIs
(ethernetX.lterY.name)
cong|security|
vmsafe_cpumem_agentaddress
VMsafe CPU/memory APIs - IP
address (vmsafe.agentAddress)
VMsafe CPU/memory APIs - IP
address (vmsafe.agentAddress)
cong|security|
vmsafe_cpumem_agentport
VMsafe CPU/memory APIs - port
number (vmsafe.agentPort)
VMsafe CPU/memory APIs - port
number (vmsafe.agentPort)
cong|security|vmsafe_cpumem_enable Enable VMsafe CPU/memory APIs
(vmsafe.enable)
Enable VMsafe CPU/memory APIs
(vmsafe.enable)
cong|security|
disconnect_devices_oppy
Disconnect oppy drive Disconnect oppy drive
cong|security|disconnect_devices_cd Disconnect CD-ROM Disconnect CD-ROM
cong|security|disconnect_devices_usb Disconnect USB controller Disconnect USB controller
Chapter 2 Property Definitions in vRealize Operations Manager
VMware, Inc. 135
Table 2‑6. Configuration Properties Collected for Virtual Machine Objects (Continued)
Property Key Property Name Description
cong|security|
disconnect_devices_parallel
Disconnect parallel port Disconnect parallel port
cong|security|disconnect_devices_serial Disconnect serial port Disconnect serial port
N 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
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
vRealize Operations Definitions for Metrics, Properties, and Alerts
136 VMware, Inc.
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 identied 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|cong|numEthernetCards Number of NICs Number of NICs
summary|cong|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
guestlesystem|capacity_property Guest File System Capacity Property Total capacity of guest le system as a
property, reported for each le system.
guestlesystem|
capacity_property_total
Total Guest File System Capacity
Property
Overall total capacity of guest le system
as a property, reported across all le
systems.
Host System Properties
vRealize Operations Manager collects conguration, 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
cong|name Name Name
cong|diskSpace Disk Space Disk Space
cong|network|nnic Number of NICs Number of NICs
cong|network|linkspeed Average Physical NIC Speed Average Physical NIC Speed
Chapter 2 Property Definitions in vRealize Operations Manager
VMware, Inc. 137
Table 2‑14. Configuration Properties Collected for Host System Objects (Continued)
Property Key Property Name Description
cong|network|dnsserver DNS Server List of DNS Servers
cong|product|productLineId Product Line ID Product Line ID
cong|product|apiVersion API Version API Version
cong|storageDevice|plugStoreTopology|
numberofPath
Total number of Path Total number of storage paths
cong|storageDevice|multipathInfo|
numberofActivePath
Total number of Active Path Total number of active storage paths
cong|storageDevice|multipathInfo|
multipathPolicy
Multipath Policy Multipath Policy
cong|hyperThread|available Available Indicates whether hyperthreading is
supported by the server
cong|hyperThread|active Active Indicates whether hyperthreading is
active
cong|ntp|server NTP Servers NTP Servers
cong|security|ntpServer NTP server NTP server
cong|security|enable_ad_auth Enable active directory
authentication
Enable active directory authentication
cong|security|enable_chap_auth Enable mutual chap
authentication
Enable mutual chap authentication
cong|security|enable_auth_proxy Enable authentication proxy
(UserVars.ActiveDirectoryVerifyC
AMCerticate)
Enable authentication proxy
(UserVars.ActiveDirectoryVerifyCAM
Certicate)
cong|security|syslog_host Remote log host
(Syslog.global.logHost)
Remote log host
(Syslog.global.logHost)
cong|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)
cong|security|shell_interactive_timeout Shell interactive timeout
(UserVars.ESXiShellInteractiveTim
eOut)
Shell interactive timeout
(UserVars.ESXiShellInteractiveTimeO
ut)
cong|security|shell_timeout Shell timeout
(UserVars.ESXiShellTimeOut)
Shell timeout
(UserVars.ESXiShellTimeOut)
cong|security|dvlter_bind_address Dvlter bind ip address
(Net.DVFilterBindIpAddress)
Dvlter bind ip address
(Net.DVFilterBindIpAddress)
cong|security|syslog_dir Log directory
(Syslog.global.logDir)
Log directory (Syslog.global.logDir)
cong|security|rewallRule|
allowedHosts
Allowed hosts Allowed hosts in the rewall
conguration
cong|security|service|isRunning Running Indicates whether a service is running
or not. Services are: Direct Console
UI, ESXi shell, SSH, or NTP Daemon.
cong|security|service|ruleSet Ruleset Ruleset for each service.
cong|security|service|policy Policy Policy for each service.
vRealize Operations Definitions for Metrics, Properties, and Alerts
138 VMware, Inc.
N 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
congManager|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
Chapter 2 Property Definitions in vRealize Operations Manager
VMware, Inc. 139
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
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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140 VMware, Inc.
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 conguration and summary properties for cluster compute resource
objects.
Table 2‑23. Configuration Properties Collected for Cluster Compute Resource Objects
Property Key Property Name Description
cong|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
conguration|drscong|enabled Enabled Indicates whether DRS is enabled
conguration|drscong|
defaultVmBehavior
Default DRS Behaviour Default DRS Behaviour
conguration|drscong|anityRules Anity Rules DRS Anity Rules
conguration|dascong|enabled HA Enabled HA Enabled
conguration|dascong|
admissionControlEnabled
Admission Control Enabled Admission Control Enabled
conguration|dpmconginfo|enabled DPM Enabled DPM Enabled
conguration|dpmconginfo|
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 conguration, CPU, memory, and summary properties for resource
pool objects.
Table 2‑26. Configuration Properties Collected for Resource Pool Objects
Property Key Property Name Description
cong|name Name Name
cong|cpuAllocation|reservation Reservation CPU reservation
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VMware, Inc. 141
Table 2‑26. Configuration Properties Collected for Resource Pool Objects (Continued)
Property Key Property Name Description
cong|cpuAllocation|limit Limit CPU limit
cong|cpuAllocation|
expandableReservation
Expandable Reservation CPU expandable reservation
cong|cpuAllocation|shares|shares Shares CPU shares
cong|memoryAllocation|reservation Reservation Memory reservation
cong|memoryAllocation|limit Limit Memory limit
cong|memoryAllocation|
expandableReservation
Expandable Reservation Memory expandable reservation
cong|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 conguration and summary properties for data center objects.
Table 2‑30. Configuration Properties Collected for Data Center Objects
Property Key Property Name Description
cong|name Name Name
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142 VMware, Inc.
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 conguration and summary properties for storage pod objects.
Table 2‑32. Configuration Properties Collected for Storage Pod Objects
Property Key Property Name Description
cong|name Name Name
cong|sdrscong|
vmStorageAntiAnityRules
VM storage antianity rules Storage Distributed Resource Scheduler
(SDRS) VM anti-anity rules
cong|sdrscong|
vmdkAntiAnityRules
VMDK antianity rules Storage Distributed Resource Scheduler
(SDRS) Virtual Machine Disk (VMDK) anti-
anity rules
VMware Distributed Virtual Switch Properties
vRealize Operations Manager collects conguration 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
cong|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 conguration 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
cong|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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VMware, Inc. 143
Datastore Properties
vRealize Operations Manager collects conguration, summary, and properties about datastore use for
datastore objects.
Table 2‑37. Configuration Properties Collected for Datastore Objects
Property Key Property Name Description
cong|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.
vRealize Operations Definitions for Metrics, Properties, and Alerts
144 VMware, Inc.
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 congured locators in the
system
ServersCount Servers Count The number of congured 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
cong|numCpu Number of CPU Number of CPUs
cong|numCoresPerCpu Number of cores per CPU Number of cores per CPU
cong|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
cong|numCpu Number of CPU Number of CPUs
cong|numCoresPerCpu Number of cores per CPU Number of cores per CPU
cong|coreFrequency Core Frequency Core Frequency
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VMware, Inc. 145
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:
nvSAN Disk Groups:Conguration|vSAN Conguration
Properties for vSAN Cluster
The vRealize Operations Manager displays the following properties for vSAN cluster.
nCluster Conguration|vSAN|Deduplication and Compression Enabled
nCluster Conguration|vSAN|Preferred fault domain
nCluster Conguration|vSAN|Stretched Cluster
nCluster Conguration|vSAN|vSAN Conguration
Properties for vSAN Enabled Host
The vRealize Operations Manager displays the following property for vSAN enabled host.
nConguration|vSAN Enabled
Properties for vSAN Cache Disk
The vRealize Operations Manager displays the following properties for vSAN cache disk.
Properties for vSAN include:
vRealize Operations Definitions for Metrics, Properties, and Alerts
146 VMware, Inc.
Component Metrics
Conguration nConguration Properties|Name
nConguration Properties|Size
nConguration Properties|Vendor
nConguration Properties|Type
nConguration Properties|Queue Depth
SCSI SMART Statistics nSCSI SMART Statistics|Media Wearout Indicator Threshold
nSCSI SMART Statistics|Write Error Count Threshold
nSCSI SMART Statistics|Read Error Count Threshold
nSCSI SMART Statistics|Reallocated Sector Count Threshold
nSCSI SMART Statistics|Raw Read Error Rate Threshold
nSCSI SMART Statistics|Drive Temperature Threshold
nSCSI SMART Statistics|Drive Rated Max Temperature Threshold
nSCSI SMART Statistics|Write Sectors TOT Count Threshold
nSCSI SMART Statistics|Read Sectors TOT Count Threshold
nSCSI 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 Metrics
Conguration nConguration Properties|Name
nConguration Properties|Size
nConguration Properties|Vendor
nConguration Properties|Type
nConguration Properties|Queue Depth
SCSI SMART Statistics nSCSI SMART Statistics|Media Wearout Indicator Threshold
nSCSI SMART Statistics|Write Error Count Threshold
nSCSI SMART Statistics|Read Error Count Threshold
nSCSI SMART Statistics|Reallocated Sector Count Threshold
nSCSI SMART Statistics|Raw Read Error Rate Threshold
nSCSI SMART Statistics|Drive Temperature Threshold
nSCSI SMART Statistics|Drive Rated Max Temperature Threshold
nSCSI SMART Statistics|Write Sectors TOT Count Threshold
nSCSI SMART Statistics|Read Sectors TOT Count Threshold
nSCSI SMART Statistics|Initial Bad Block Count Threshold
Chapter 2 Property Definitions in vRealize Operations Manager
VMware, Inc. 147
vRealize Operations Definitions for Metrics, Properties, and Alerts
148 VMware, Inc.
Alert Definitions in vRealize
Operations Manager 3
Alert denitions 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 denitions are provided for various objects in your environment. You can also create your own alert
denitions. See the vRealize Operations Manager User Guide.
nCluster Compute Resource Alert Denitions on page 150
The vCenter adapter provides alert denitions that generate alerts on the Cluster Compute Resource
objects in your environment.
nHost System Alert Denitions on page 154
The vCenter adapter provides alert denitions that generate alerts on the Host System objects in your
environment.
nvRealize Automation Alert Denitions on page 168
Alert denitions are combinations of symptoms and recommendations that identify problem areas in
your environment and generate alerts on which you can act.
nvSAN Alerts Denitions 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.
nAlerts in the vSphere Web Client on page 176
The vSphere Web Client displays the results of health tests for the following vSAN monitored groups:
nvSphere Distributed Port Group on page 176
The vCenter adapter provides alert denitions that generate alerts on the vSphere Distributed Port
objects in your environment.
nVirtual Machine Alert Denitions on page 177
The vCenter adapter provides alert denitions that generate alerts on the virtual machine objects in
your environment.
nvSphere Distributed Switch Alert Denitions on page 185
The vCenter adapter provides alert denitions that generate alerts on the vSphere Distributed Switch
objects in your environment.
nvCenter Server Alert Denitions on page 186
The vCenter adapter provides alert denitions that generate alerts on the vCenter Server objects in
your environment.
VMware, Inc. 149
nDatastore Alert Denitions on page 187
The vCenter adapter provides alert denitions that generate alerts on the datastore objects in your
environment.
nData Center Alert Denitions on page 192
The vCenter adapter provides alert denitions that generate alerts on the Data Center objects in your
environment.
nCustom Data Center Alert Denitions on page 193
The vCenter adapter provides alert denitions that generate alerts on the Custom Data Center objects
in your environment.
Cluster Compute Resource Alert Definitions
The vCenter adapter provides alert denitions that generate alerts on the Cluster Compute Resource objects
in your environment.
Health/Symptom-Based
These alert denitions have the following impact and criticality information.
Impact Health
Criticality Symptom-based
vRealize Operations Definitions for Metrics, Properties, and Alerts
150 VMware, Inc.
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:
nDRS enabled
nDRS fully automated
nCluster 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 ]
nDRS Migration Threshold is not
zero
1 Check the migration threshold in
the DRS seings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
2 Use the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
dierent cluster.
3 Use vMotion to migrate some
virtual machines to a dierent
cluster if possible.
4 Add more hosts to the cluster to
increase memory capacity.
5 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.
Fully-automated DRS-enabled cluster
has CPU contention caused by more
than half of the virtual machines.
Symptoms include all of the
following:
nDRS enabled
nDRS fully automated
nCluster CPU contention at
warning/immediate/critical level
nCluster CPU demand at
warning/immediate/critical level
n> 50% of descendant virtual
machines have [ Virtual machine
CPU demand at warning/
immediate/critical level ]
nDRS Migration Threshold is not
zero
1 Check the migration threshold in
the DRS seings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
2 User the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
dierent cluster.
3 Use vMotion to migrate some
virtual machines to a dierent
cluster if possible.
4 Add more hosts to the cluster to
increase CPU capacity.
5 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.
Fully-automated DRS-enabled cluster
has CPU contention caused by
overpopulation of virtual machines.
Symptoms include all of the
following:
nDRS enabled
nDRS fully automated
nCluster CPU contention at
warning/immediate/critical level
nCluster CPU workload at
warning/immediate/critical level
n= 0 descendant virtual machines
have [ Virtual machine CPU
demand at warning/
immediate/critical level ]
nDRS Migration Threshold is not
zero
1 Check the migration threshold in
the DRS seings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
2 User the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
dierent cluster.
3 Use vMotion to migrate some
virtual machines to a dierent
cluster if possible.
4 Add more hosts to the cluster to
increase CPU capacity.
5 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.
Chapter 3 Alert Definitions in vRealize Operations Manager
VMware, Inc. 151
Alert Definition Symptoms Recommendations
Fully-automated DRS-enabled cluster
has unexpected high CPU workload.
Symptoms include all of the
following:
nDRS enabled
nDRS fully automated
nCluster CPU workload above DT
nCluster CPU workload at
warning/immediate/critical level
1 Check the applications running on
the virtual machines in the cluster
to determine whether high CPU
workload is an expected behavior.
2 Add more hosts to the cluster to
increase CPU capacity.
3 Use vSphere vMotion to migrate
some virtual machines to a
dierent cluster if possible.
Fully-automated DRS-enabled cluster
has memory contention caused by less
than half of the virtual machines.
Symptoms include all of the
following:
nDRS enabled
nDRS fully automated
nCluster 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 ]
nDRS Migration Threshold is not
zero
1 Check the migration threshold in
the DRS seings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
2 User the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
dierent cluster.
3 Use vMotion to migrate some
virtual machines to a dierent
cluster if possible.
4 Add more hosts to the cluster to
increase memory capacity.
5 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.
Fully-automated DRS-enabled cluster
has memory contention caused by
more than half of the virtual machines.
Symptoms include all of the
following:
nDRS enabled
nDRS fully automated
nCluster memory contention at
warning/immediate/critical level
nCluster memory workload at
warning/immediate/critical level
n> 50% of descendant virtual
machines have [ Virtual machine
memory demand at warning/
immediate/critical level ]
nDRS Migration Threshold is not
zero
1 Check the migration threshold in
the DRS seings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
2 User the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
dierent cluster.
3 Use vMotion to migrate some
virtual machines to a dierent
cluster if possible.
4 Add more hosts to the cluster to
increase memory capacity.
5 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.
vRealize Operations Definitions for Metrics, Properties, and Alerts
152 VMware, Inc.
Alert Definition Symptoms Recommendations
Fully-automated DRS-enabled cluster
has memory contention caused by
overpopulation of virtual machines.
Symptoms include all of the
following:
nDRS enabled
nDRS fully automated
nCluster memory contention at
warning/immediate/critical level
nCluster memory workload at
warning/immediate/critical level
n= 0 descendant virtual machines
have [ Virtual machine memory
demand at
warning /immediate/critical
level ]
nDRS Migration Threshold is not
zero
1 Check the migration threshold in
the DRS seings for the cluster.
Change it to a more aggressive
level to enable DRS to balance the
cluster workloads.
2 User the workload balance feature
in vRealize Operations to migrate
one or more virtual machines to a
dierent cluster.
3 Use vMotion to migrate some
virtual machines to a dierent
cluster if possible.
4 Add more hosts to the cluster to
increase memory capacity.
5 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.
More than 5% of virtual machines in
the cluster have memory contention
due to memory compression,
ballooning or swapping.
nVirtual machine memory limit is
set AND
n> 5% of descendant virtual
machines have [ virtual machine
memory contention is at
warning/immediate/critical level]
AND
n> 5% of descendant virtual
machines have [ Virtual machine
memory is compressed OR
nVirtual machine is using swap
OR
nVirtual machine memory
ballooning is at
warning/immediate/critical level]
1 Add more hosts to the cluster to
increase memory capacity.
2 Use vMotion to migrate some
virtual machines o the host or
cluster.
Fully-automated DRS-enabled cluster
has unexpected high memory
workload and contention.
Symptoms include all of the
following:
nDRS enabled
nDRS fully automated
nCluster memory contention
above DT
nCluster memory content is at
warning/immediate/critical level
nCluster memory workload at
warning/immediate/critical level
1 Check the applications running on
the virtual machines in the cluster
to determine whether high
memory workload is an expected
behavior.
2 Add more hosts to the cluster to
increase memory capacity.
3 Use vSphere vMotion to migrate
some virtual machines to a
dierent cluster if possible.
Chapter 3 Alert Definitions in vRealize Operations Manager
VMware, Inc. 153
Alert Definition Symptoms Recommendations
vSphere HA failover resources are
insucient.
vSphere HA failover resources are
insucient (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 dierent 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
conguration problems, recongure
vSphere HA on the aected hosts or on
the cluster.
vSphere HA master missing. vCenter Server is unable to nd a
master vSphere HA agent (fault
symptom)
Check the fault page under the
Analysis tab for this object to nd
more objects.
Host System Alert Definitions
The vCenter adapter provides alert denitions that generate alerts on the Host System objects in your
environment.
Health/Symptom-Based
These alert denitions have the following impact and criticality information.
Impact Health
Criticality Symptom-based
vRealize Operations Definitions for Metrics, Properties, and Alerts
154 VMware, Inc.
Alert Definition Symptoms Recommendations
Standalone host has CPU contention
caused by less than half of the virtual
machines.
Symptoms include the following:
nHost inside a cluster
nHost 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-automated-
DRS 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:
nHost inside a cluster
nHost CPU contention is at
warning/immediate/critical level
nHost CPU demand at
warning/immediate/critical level
n> 50% of child virtual machines
have [Virtual machine CPU
demand at warning/
immediate/critical level]
1 Add the host to a fully-automated-
DRS 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
due to overpopulation of virtual
machines.
Symptoms include the following:
nHost inside a cluster
nHost CPU contention is at
warning/immediate/critical level
nHost CPU demand at
warning/immediate/critical level
n= 0 child virtual machines have
[Virtual machine CPU demand at
warning/ immediate/critical
level]
1 Add the host to a fully-automated-
DRS 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.
Chapter 3 Alert Definitions in vRealize Operations Manager
VMware, Inc. 155
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:
nHost inside a cluster
n[ DRS Enabled OR ! DRS fully
automated ]
nHost 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]
1 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.
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.
Host in a cluster that does not have
fully-automated DRS enabled has CPU
contention caused by more than half of
the virtual machines.
Symptoms include the following:
nHost inside a cluster
n[ DRS Enabled OR ! DRS fully
automated]
nHost CPU contention at
warning/immediate/critical level
nHost CPU demand at
warning/immediate/critical level
n> 50% of child virtual machines
have [Virtual machine CPU
demand at
warning /immediate/critical
level]
1 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.
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.
Host in a cluster that does not have
fully-automated DRS enabled has CPU
contention caused by overpopulation
of virtual machines.
Symptoms include the following:
nHost inside a cluster
n[ DRS Enabled OR ! DRS fully
automated]
nHost CPU contention at
warning/immediate/critical level
nHost CPU demand at
warning/immediate/critical level
n= 0 child virtual machines have
[Virtual machine CPU demand at
warning /immediate/critical level
1 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.
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.
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Alert Definition Symptoms Recommendations
Standalone host has memory
contention caused by less than half of
the virtual machines.
Symptoms include the following:
nHost inside a cluster
nHost memory workload at
warning/immediate/critical level
nHost memory contention at
warning/immediate/critical level
n> 50% of child virtual machines
have [Virtual machine memory
workload at
warning /immediate/critical
level]
1 Add the host to a fully-automated-
DRS 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 Upgrade the host to use a host that
has larger memory capacity.
4 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 memory
contention caused by more than half of
the virtual machines.
Symptoms include the following:
nHost inside a cluster
nHost memory workload at
warning/immediate/critical level
nHost memory contention at
warning/immediate/critical level
n> 50% of child virtual machines
have [Virtual machine memory
workload at
warning /immediate/critical
level]
1 Add the host to a fully-automated-
DRS 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 Upgrade the host to use a host that
has larger memory capacity.
4 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 memory
contention due to overpopulation of
virtual machines.
Symptoms include the following:
nHost inside a cluster
nHost memory workload at
warning/immediate/critical level
nHost memory contention at
warning/immediate/critical level
n= 0 child virtual machines have
[Virtual machine memory
workload at warning/
immediate/critical level]
1 Add the host to a fully-automated-
DRS 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 Upgrade the host to use a host that
has larger memory capacity.
4 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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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]
nHost memory contention at
warning/immediate/critical level
n> 0 child virtual machines have
[Virtual machine memory
workload at warning/
immediate/critical level]
n<= 50% of child virtual machines
have [Virtual machine memory
workload at warning/
immediate/critical level]
1 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.
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.
Host in a cluster that does not have
fully-automated DRS enabled has
memory contention caused by more
than half of the virtual machines.
Symptoms include the following:
nHost inside a cluster
n[DRS Enabled OR ! DRS fully
automated]
nHost memory workload at
warning/immediate/critical level
nHost memory contention at
warning/immediate/critical level
n> 50% of child virtual machines
have [Virtual machine memory
workload at
warning /immediate/critical
level]
1 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.
2 Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
3 Upgrade the host to use a host that
has larger memory capacity.
4 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.
Host in a cluster that does not have
fully-automated DRS enabled has
memory contention caused by
overpopulation of virtual machines.
Symptoms include the following:
nHost inside a cluster
n[DRS Enabled OR ! DRS fully
automated]
nHost memory workload at
warning/immediate/critical level
nHost memory contention at
warning/immediate/critical level
n= 0 child virtual machines have
[Virtual machine memory
workload at
warning /immediate/critical
level]
1 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.
2 Use vMotion to migrate some
virtual machines with high CPU
workload to other hosts that have
available CPU capacity.
3 Upgrade the host to use a host that
has larger memory capacity.
4 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.
Host is experiencing high number of
received or transmied packets
dropped.
Symptoms include the following:
nHost network received packets
dropped
nHost network transmied
packets dropped
1 Reduce the amount of network
trac being generated by virtual
machines by moving some of them
to a host with lower network
trac.
2 Verify the health of the physical
network adapter, conguration,
driver and rmware versions.
3 Contact VMware support.
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Alert Definition Symptoms Recommendations
Host is experiencing high number of
received packets dropped.
Symptoms include the following:
nHost network received packets
dropped
nHost network received packets
dropped above DT
nHost network data receive
workload at Warning level
nHost network data receive
workload above DT
nHost CPU demand at Critical
level
1 If the host has one CPU, upgrade
the host or use a host that has
larger CPU capacity.
2 Add an additional NIC to the host.
3 Reduce the amount of network
trac being generated by virtual
machines by moving some of them
to a host with lower network
trac.
Host is experiencing high number of
transmied packets dropped.
Symptoms include the following:
nHost network transmied
packets dropped
nHost network transmied
packets dropped above DT
nHost network data transmit
workload at Warning level
nHost network data transmit
workload above DT
nHost is dropping high percentage
of packets
1 Add an additional NIC to the host.
2 Reduce the amount of network
trac being generated by virtual
machines by moving some of them
to a host with lower network
trac.
ESXi host has detected a link status
'apping' on a physical NIC.
Physical NIC link state apping (fault
symptom).
ESXi disables the device to avoid the
link apping 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 apping 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.
Baery sensors are reporting
problems.
Symptoms include the following:
nBaery sensor health is red OR
nBaery 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.
Symptoms include the following:
nBaseboard Management
Controller sensor health is red
OR
nBaseboard 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.
Fan sensors are reporting problems. nFan sensor health is red OR
nFan 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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Alert Definition Symptoms Recommendations
Hardware sensors are reporting
problems.
nHardware sensor health is red
OR
nHardware 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 sensors are reporting
problems.
nMemory sensor health is red OR
nMemory 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 sensors are reporting problems. nPower sensor health is red OR
nPower 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 sensors are reporting
problems.
nProcessor sensor health is red
nProcessor 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 sensors are reporting problems. nSEL sensor health is red OR
nSEL 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 sensors are reporting
problems.
nStorage sensor health is red OR
nStorage 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 sensors are reporting
problems.
nSystem board sensor health is red
OR
nSystem 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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Alert Definition Symptoms Recommendations
Temperature sensors are reporting
problems.
nTemperature sensor health is red
OR
nTemperature 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 sensors are reporting
problems.
nVoltage sensor health is red OR
nVoltage 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 denitions 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 recongure it
to have a dierent 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.
N You can use the Duplicate IP
warning in the /var/log/vmkernel
log le on an ESX host or
the /var/log/messages log le on an
ESXi host to identify the computer that
has the duplicate IP address.
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Alert Definition Symptoms Recommendations
Host is experiencing network
contention caused by too much trac.
Symptoms include all the following:
nHost is experiencing dropped
network packets
nHost network workload at
warning/immediate/critical level
1 Review the load balancing policy
in the Port Group and the vSwitch.
2 Add an additional NIC to the host.
3 Reduce the amount of network
trac being generated by virtual
machines by moving some of them
to a host with lower network
trac.
The host has lost connectivity to a
dvPort.
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.
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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:
nTo check the status in the
vSphere Client, select the ESX host,
click , 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.
nFrom the service console, run the
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
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Alert Definition Symptoms Recommendations
down each ESX host port on the
physical switch, run esxcfg-nics
-l", and observe the aected
vmnics.
Verify that the vmnic identied in the
alert is still connected to the switch
and congured properly:
nMake sure that the network cable
is still connected to the switch and
to the host.
nMake sure that the switch is
connected to the system, is still
functioning properly, and has not
been inadvertently miscongured.
For more information, see the
switch documentation.
nCheck for activity between the
physical switch and the vmnic.
You can check activity by
performing a network trace or
observing activity LEDs.
nCheck for network port seings on
the physical switch.
To recongure the service console IP
address if the aected vmnic is
associated with a service console, see
hp://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 Verify the NFS server is running.
2 Check the network connection to
make sure the ESX host can
connect to the NFS server.
3 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.
4 Make sure that you can reach the
NFS server by logging into the
service console and using vmkping
to ping the NFS server: "vmkping
<nfs server>".
5 For advanced troubleshooting
information,
seehp://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
identied 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.
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Health/Immediate
These alert denitions have the following impact and criticality information.
Impact Health
Criticality Immediate
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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, rst
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#>
aected vSwitch.
3 Link available uplinks to the
aected port groups by running
esxcfg-vswitch -L
<available vmnic#>
aected 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 , 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 aected vmnics. Verify that the
vmnic identied in the alert is still
connected to the switch and
congured properly:
1 Make sure that the network cable
is still connected to the switch and
to the host.
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Alert Definition Symptom Recommendations
2 Make sure that the switch is
connected to the system, is still
functioning properly, and was not
inadvertently miscongured. (See
the switch documentation.)
3 Perform a network trace or observe
activity LEDs to check for activity
between the physical switch and
the vmnic.
4 Check for network port seings 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 rmware. 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-specic, contact the vendor for
assistance.
Risk/Symptom-Based
These alert denitions have the following impact and criticality information.
Impact Risk
Criticality Symptom-based
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Alert Definition Symptom Recommendations
ESXi Host is violating vSphere 5.5
Hardening Guide.
nActive directory authentication
disabled OR
nNon-compliant NTP service
startup policy OR
nSSH service is running OR
nNTP service stopped OR
nNon-compliant timeout value for
automatically disabling local and
remote shell access OR
nvSphere Authentication Proxy
not used for password protection
when adding ESXi hosts to active
directory OR
nPersistent logging disabled OR
nBidirectional CHAP for iSCSI
trac disabled OR
nNon-compliant rewall seing to
restrict access to NTP client OR
nNTP server for time
synchronization not congured
OR
nNon-compliant ESXi Shell service
startup policy OR
nNon-compliant rewall seing to
restrict access to SNMP server
OR
nESXi Shell service is running OR
nNon-compliant DCUI service
startup policy OR
nDvlter bind IP address
congured OR
nNon-compliant SSH service
startup policy OR
nDCUI service is running OR
nNon-compliant idle time before
an interactive shell is
automatically logged out OR
nNon-compliant DCUI access user
list OR
nRemote syslog is not enabled
Fix the vSphere 5.5 Hardening Guide
Rules Violations according to the
recommendations in the vSphere5
Hardening Guide
vRealize Automation Alert Definitions
Alert denitions are combinations of symptoms and recommendations that identify problem areas in your
environment and generate alerts on which you can act.
Symptom and alert denitions are dened 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 proles.
The health and risk thresholds are as follows:
Health
nWhen 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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168 VMware, Inc.
nWhen 50%-75% of the child objects have health issues, the parent object will trigger an alert with an
Immediate health level.
nWhen 75%-100% of the child objects have health issues, the parent object will trigger an alert with a
Critical health level.
Risk
nWhen 25%-50% of the child objects have risk issues, the parent object will trigger an alert with a
Warning risk level.
nWhen 50%-75% of the child objects have risk issues, the parent object will trigger an alert with an
Immediate risk level.
nWhen 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
Alert
Level
Affected Object
Type Description
Performance Service on vSAN cluster might be
o or experience issues
Critical vSAN Adapter
Instance
Triggered when the vSphere Virtual
SAN Performance Service is o 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 vSAN-
enabled cluster compute resources.
Check Virtual SAN health service
seings 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 ash 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 ash storage to
the read cache.
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Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Alert
Level
Affected Object
Type Description
vSAN Cluster ash 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 ash 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 buer 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
buer free space is less than 10%.
Cleared by adding more ash
capacity to the vSAN disk group.
vSAN Host has no VMkernel NIC congured Immediate Host System Triggered when vSAN host has no
VMkernel NIC congured.
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 conguration options
Critical vSAN Cluster Triggered when some advanced
conguration seings have dierent
values on dierent 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.
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Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Alert
Level
Affected Object
Type Description
Host in a vSAN cluster does not have a
VMkernel NIC congured for vSAN trac
Critical Host System Triggered when host in a vSAN
cluster does not have a VMkernel
NIC congured for vSAN trac.
N
Even if an ESXi host is part of the
vSAN cluster, but is not contributing
storage, it must still have a
VMkernel NIC congured for vSAN
trac.
One or more hosts in the vSAN cluster have
miscongured multicast addresses
Critical Host System Triggered when one or more hosts in
the vSAN cluster have
miscongured 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 conguration
Critical Host System Triggered when vSAN disk group
has incorrect deduplication and
compression conguration.
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
certied
Critical Host System Triggered when stability and
integrity of vSAN may be at risk as
the storage I/O controller driver is
not VMware certied.
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 conguration
with the cluster
Critical Host System Triggered when vSAN host and its
disks have inconsistent
deduplication and compression
conguration with the cluster.
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Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Alert
Level
Affected Object
Type Description
Unicast agent is not congured on the host and
aecting operations of vSAN Stretched cluster
Critical Host System Triggered when unicast agent is not
congured on the host and aecting
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
aecting 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
conguration 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 aects 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 aects 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.
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Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Alert
Level
Affected Object
Type Description
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 conicts and aecting
vSAN Performance Service
Critical vSAN Cluster Triggered when vSAN cluster has
issues in electing stats master of
vSAN Performance service.
This aects 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 aects 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.
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Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Alert
Level
Affected Object
Type Description
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.
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Table 3‑1. vSAN Alert Definitions (Continued)
Alert
Alert
Level
Affected Object
Type Description
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
o or experiencing issues
Critical vSAN Cluster Triggered when performance service
on vSAN cluster might be o 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 misconguration 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
misconguration.
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.
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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:
nNetwork
nPhysical disk
nCluster
nLimits
nData
nHardware compatibility
nPerformance Service
nStretched 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 denitions that generate alerts on the vSphere Distributed Port objects in
your environment.
Health/Critical
These alert denitions have the following impact and criticality information.
Impact Health
Criticality Critical
Alert Definition Symptom Recommendations
One or more ports are in link down
state.
Symptoms include all of the
following:
nPort is connected
nOne 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 aached to a
dierent host.
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Virtual Machine Alert Definitions
The vCenter adapter provides alert denitions that generate alerts on the virtual machine objects in your
environment.
Health/Symptom-Based
These alert denitions have the following impact and criticality information.
Impact Health
Criticality Symptom-based
Alert Definition Symptom Recommendations
Virtual machine is experiencing
memory compression, ballooning or
swapping due to memory limit.
nVirtual machine memory limit is
set AND
nVirtual machine memory
demand exceeds congured
memory limit AND
n[Virtual machine memory is
compressed OR
nVirtual machine is using swap
OR
nVirtual machine memory
ballooning is at
warning/immediate/critical level]
AND
nRecommended virtual machine
memory size
Increase the memory limit for the
virtual machine to match the
recommended memory size.
Alternatively, remove memory limit
for the virtual machine.
Virtual machine has CPU contention
caused by swap wait.
Virtual machine CPU swap wait is at
warning/Immediate/Critical level.
1 Upgrade the host with more
memory.
2 Use vSphere vMotion to migrate
this virtual machine to a dierent
host or cluster.
3 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:
nVirtual machine CPU demand at
warning/immediate/critical level
nAnomaly is starting
to/moderately/critically high
1 Check the guest applications to
determine whether high CPU
workload is an expected behavior.
2 Add more CPU capacity for this
virtual machine.
Virtual machine has unexpected high
memory workload.
Symptoms include all of the
following:
nVirtual machine memory
workload is at
Warning/Immediate/Critical level
nAnomaly is starting
to/moderately/critically high
1 Check the guest applications to
determine whether high memory
workload is an expected behavior.
2 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:
nVirtual machine CPU swap wait
is at warning/immediate/critical
level (5/10/15)
nVirtual machine has
read latency at warning level
nRecommended 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
nVirtual machine has memory
contention at
warning/immediate/critical level
AN
n[ Virtual machine memory
ballooning at
warning/immediate/critical level
OR
nVirtual machine memory is
compressed OR
nVirtual machine is using swap]
1 Add memory reservations to this
virtual machine to prevent
ballooning and swapping.
2 Use vSphere vMotion to migrate
this virtual machine to a dierent
host or cluster.
Virtual machine has unexpected high
disk I/O workload.
Symptoms include all of the
following:
nVirtual machine disk I/O
workload at
Warning/Immediate/Critical level
(80/90/95)
nVirtual machine disk I/O
workload above DT
1 Check the applications running on
the virtual machine to determine
whether high disk I/O workload is
an expected behavior.
2 Use vSphere Storage vMotion to
migrate this virtual machine to a
dierent datastore with higher
IOPS.
Virtual machine has disk I/O read
latency problem.
Symptoms include all of the
following:
nVirtual machine disk read latency
at Warning /Immediate/Critical
level
nVirtual machine disk read latency
above DT
nVirtual machine has low co-stop
nVirtual machine has low CPU
swap wait
1 Check whether you have enabled
Storage IO control on the
datastores connected to the virtual
machine.
2 Increase IOPS for the datastores
connected to the virtual machine.
3 UsevSphere Storage vMotion to
migrate this virtual machine to a
dierent datastore with higher
IOPS.
Virtual machine has disk I/O write
latency problem.
Symptoms include all of the
following:
nVirtual machine disk write
latency at Warning/
Immediate/Critical level
nVirtual machine disk write
latency above DT
nVirtual machine has low CPU
swap wait (< 3 ms)
1 Check whether you have enabled
Storage IO Control on the data
stores connected to the datastore.
2 Increase IOPS for the data stores
connected to the virtual machine.
3 If the virtual machine has multiple
snapshots, delete the older
snapshots.
4 Use vSphere Storage vMotion to
migrate some virtual machines to a
dierent datastore.
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Alert Definition Symptom Recommendations
Virtual machine has disk I/O latency
problem caused by snapshots.
Symptoms include all of the
following:
nVirtual machine CPU I/O wait is
at warning/immediate/critical
level
nVirtual machine has at least one
snapshot
nAll child datastores have [ ! Disk
command latency at warning
level ]
1 If the virtual machine has multiple
snapshots, delete the older
snapshots.
2 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.
Virtual machine is consuming disk
space in a rapid and unexpected
manner.
Symptoms include all of the
following:
nGuest le system overall disk
space usage reaching
warning/immediate/critical limit
(80, 90, 95)
nVirtual machine disk space time
remaining high (> 60 days)
nGuest le system space usage
above DT
nGuest partition disk space usage
1 Check the application and verify
that it is behaving correctly.
2 Add a new hard disk to the virtual
machine and congure the guest
le system partition to use the
disk.
One or more guest le systems is out
of disk space.
One or more guest le systems out of
disk space (Fault symptom).
Add a new hard disk to the virtual
machine and congured the guest le
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 If virtual machine CPU reservation
is set, decrease the CPU
reservation conguration.
2 If virtual machine memory
reservation is set, decrease the
memory reservation conguration.
3 Add more hosts to cluster.
4 Bring any failed hosts online or
resolve a network partition, if one
exists.
5 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.
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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 If the error information reports
that a le 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.
2 The virtual machine might have
been powered on by a user on a
host outside of the cluster. If any
hosts are declared oine,
determine whether a networking
or storage problem caused the
situation.
3 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 les.
Determine whether any operations
are in progress, such as a clone
operation that is taking a long time
to complete.
4 You can also try to power on the
virtual machine and investigate
any returned errors.
Virtual machine is experiencing
memory compression, ballooning or
swapping due to memory limit.
nVirtual machine memory limit is
set
nVirtual machine memory
demand exceeds congured
memory limit
n[Virtual machine memory is
compressed OR
nVirtual machine is using swap
OR
nVirtual machine memory
ballooning is at
warning/immediate/critical level]
nRecommended virtual machine
memory size
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 denitions have the following impact and criticality information.
Impact Eciency
Criticality Symptom-based
Alert Definition Symptom Recommendations
Virtual machine has large disk
snapshots.
Symptoms include all of the
following:
nVirtual machine has large disk
snapshots
nReclaimable snapshot waste
nDatastore space usage reaching
warning/immediate/critical limit
If the virtual machine has multiple
snapshots, delete the older snapshots.
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Efficiency/Warning
These alert denitions have the following impact and criticality information.
Impact Eciency
Criticality Warning
Alert Definition Symptom Recommendations
Virtual machine is idle. Symptoms include all of the
following:
nVirtual machine is idle
nVirtual machine high ready time
on each vCPU
n! Virtual machine is powered o
Power o 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 denitions 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:
nVirtual machine CPU co-stop at
warning/immediate/critical level
n! Virtual machine is powered o
nNumber 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:
nVirtual machine CPU stress is at
warning/immediate/critical level
nRecommended 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:
nVirtual machine CPU co-stop is
at warning/immediate/critical
level
nVirtual 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: hp://kb.vmware.com/kb/2000058
Chapter 3 Alert Definitions in vRealize Operations Manager
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Alert Definition Symptom Recommendations
Virtual machine has chronic high
memory workload leading to memory
stress.
Symptoms include all of the
following:
nVirtual machine memory stress at
warning/immediate/critical level
nRecommended 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:
nVirtual machine disk space time
remaining low (<= 60 days)
n! Guest le system space usage
above DT
n! Guest le system overall disk
space usage reaching warning
limit (85%)
nGuest partition disk space usage
1 Check the application
conguration to determine
whether the virtual machine disk
capacity will be sucient.
2 Add a new hard disk to the virtual
machine and congured the guest
le system partition to use the
disk.
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Alert Definition Symptom Recommendations
Virtual machine is running out of disk
space.
Symptoms include all of the
following:
nGuest le system overall disk
space usage reaching
warning/immediate/critical limit
(80, 90, 95)
nVirtual machine disk space time
remaining low (<= 60 days)
n! Guest le system space usage
above DT
nGuest partition disk space usage
1 Add a new hard disk to the virtual
machine and congured the guest
le system partition to use the
disk.
2 Reclaim disk space using in-guest
disk cleanup mechanisms.
Virtual machine is violating vSphere
5.5 hardening guide.
nUnrestricted VM-to-VM
communication through VMCI
OR
nVMsafe CPU/Memory APIs-port
number congured OR
nDvlter network API enabled OR
nNon-compliant max VMX le
size OR
nNon-compliant max VM log le
size OR
nAllow unauthorized modication
of device seings OR
nAllow unauthorized connect and
disconnect of devices OR
nTools auto install not disabled OR
nNon-compliant max number of
remote console connections OR
nAllow VM to obtain detailed
information about the physical
host OR
nNon-compliant max VM log le
count OR
nFeature not exposed in vSphere:
MemsFss is not disabled OR
nVMsafe CPU/memory API
enabled OR
nParallel port connected OR
nConsole drag and drop operation
not disabled OR
nConsole copy operation not
disabled OR
nSerial port connected OR
nFeature not exposed in vSPhere:
AutoLogon is not disabled OR
nUse independent non persistent
disk OR
nFeature not exposed in vSphere:
UnityPush is not disabled OR
nShrink virtual disk not disabled -
diskShrink OR
nFeature not exposed in vSphere:
GetCreds is not disabled OR
nCD-ROM connected OR
nFeature not exposed in vSPhere:
HGFSServerSet is not disabled
OR
Fix the vSphere 5.5 hardening guide
rule violations according to the
recommendations in the vSphere
Hardening Guide (XLSX).
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Alert Definition Symptom Recommendations
nConsole paste operation not
disabled OR
nFeature not exposed in vSPhere:
BIOSBBS is not disabled OR
nShrink virtual disk not disabled -
diskWiper OR
nUSB controller connected OR
nFeature not exposed in vSPhere:
Monitor Control is not disabled
OR
nFloppy drive connected OR
nFeature not exposed in vSphere:
LaunchMenu is not disabled OR
nVersionget is not disabled OR
nFeature not exposed in vSphere:
Toporequest is not disabled OR
nFeature not exposed in vSphere:
Unity-interlock not disabled OR
nVM logging is not disabled OR
nFeature not exposed in vSphere:
Unity is not disabled OR
nFeature not exposed in vSphere:
Trashfolderstate is not disabled
OR
nVGA only mode is not enabled
OR
nFeature not exposed in vSphere:
Trayicon is not disabled OR
nFeature not exposed in vSphere:
Unity-Taskbar is not disabled OR
nFeature not exposed in vSphere:
Versionset is not disabled OR
nVM console access via VNC
protocol is not disabled OR
nFeature not exposed in vSphere:
Protocolhandler is not disabled
OR
nVIX message is not disabled OR
nFeature not exposed in vSphere:
Shellaction is not disabled OR
n3D features is not disabled OR
nFeature not exposed in vSphere:
Unity-Windowcontents is not
disabled OR
nFeature not exposed in vSphere:
Unity-Unityactive is not disabled
Risk/Warning
These alert denitions have the following impact and criticality information.
Impact Risk
Criticality Warning
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Alert Definition Symptom Recommendations
Virtual machine is demanding more
CPU than the congured limit.
Symptoms include all of the
following:
nVirtual machine CPU limit is set
nVirtual machine CPU demand
exceeds congured 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 denitions that generate alerts on the vSphere Distributed Switch objects
in your environment.
Health/Critical
These alert denitions have the following impact and criticality information.
Impact Health
Criticality Critical
Alert Definition Symptom Recommendations
Network trac is blocked for one or
more ports.
Network trac is blocked for one or
more ports.
Check the security policy on the port
groups as well as any ACL rule
conguration.
Health/Warning
These alert denitions have the following impact and criticality information.
Impact Health
Criticality Warning
Alert Definition Symptom Recommendations
Distributed Switch conguration is out
of sync.
Distributed Switch conguration is
out of sync with the vCenter Server.
Change the distributed switch
conguration 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
conguration in the vCenter Server.
Otherwise, re-apply the the
vCenter Server conguration 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 conguration on the
physical switch and the distributed
port groups are consistent.
Teaming conguration does not match
the physical switch.
Teaming conguration does not
match the physical switch.
Ensure the teaming conguration 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 conguration 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 conguration on the
host to match the physical switch.
Change the MTU conguration on the
physical switch.
Risk/Warning
These alert denitions have the following impact and criticality information.
Impact Risk
Criticality Warning
Alert Definition Symptom Recommendations
The distributed switch conguration 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 denitions that generate alerts on the vCenter Server objects in your
environment.
Health/Symptom-Based
These alert denitions have the following impact and criticality information.
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 specic
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 Name-
Based Identication 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.
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Datastore Alert Definitions
The vCenter adapter provides alert denitions that generate alerts on the datastore objects in your
environment.
Health/Symptom-Based
These alert denitions 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:
nDatastore disk I/O workload at
warning/immediate/critical level
nDatastore disk I/O workload
above DT
1 Check the applications running on
the virtual machines placed on the
datastore to determine whether
high disk I/O workload is expected
behavior.
2 Increase IOPS for the datastore.
Datastore is consuming disk space in a
rapid and unexpected manner.
Symptoms include all of the
following:
nDatastore space usage reaching
warning/immediate/critical level
nDatastore space growth above
DT
nDatastore time remaining high
1 Check if there is an unexpected
provisioning of virtual machines
on this datastore.
2 Use vSphere Storage vMotion to
migrate some virtual machines to a
dierent datastore.
3 Add more capacity to the
datastore.
Health/Critical
These alert denitions have the following impact and criticality information.
Impact Health
Criticality Critical
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Alert Definition Symptom Recommendations
A storage device for a datastore has
been detected to be o.
Storage device has been turned o
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
hp://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
hp://kb.vmware.com/kb/1003988.
Determine whether the connectivity
issue is with the iSCSI storage or the
ber 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
hp://kb/vmware.com/kb/1003486
2 Check whether a vmkping to each
network portal of the storage array
fails. For more information,
seehp://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
ber-aached storage, check the ber
switch. The ber switch zoning
conguration permits the ESX host to
see the storage array. If you require
assistance, contact your switch vendor.
The ber switch propagates RSCN
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Alert Definition Symptom Recommendations
messages to the ESX hosts. For more
information about conguring the
ber switch, see
hp://kb.vmware.com/kb/1002301.
Finally, check the following physical
hardware: the storage processors on
the array, the ber switch and the
Gigabit Interface Converter (GBIC)
units in the switch, the ber cables
between the ber 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 aected 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 denitions have the following impact and criticality information.
Impact Health
Criticality Immediate
Chapter 3 Alert Definitions in vRealize Operations Manager
VMware, Inc. 189
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
hp://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
hp://kb.vmware.com/kb/1003988.
Determine whether the connectivity
issue is with the iSCSI storage or the
ber 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,
seehp://kb/vmware.com/kb/10034
86.
2 Check whether a vmkping to each
network portal of the storage array
fails. For more information,
seehp://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
ber-aached storage, check the ber
switch. The ber switch zoning
conguration permits the ESX host to
see the storage array. If you require
assistance, contact your switch vendor.
The ber switch propagates RSCN
messages to the ESX hosts. For more
information about conguring the
ber switch,
seehp://kb.vmware.com/kb/1002301.
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190 VMware, Inc.
Alert Definition Symptom Recommendations
Finally, check the following physical
hardware: the storage processors on
the array, the ber switch and the
Gigabit Interface Converter (GBIC)
units in the switch, the ber cables
between the ber 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
aected 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 denitions 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:
nDatastore space usage reaching
warning/immediate/critical level
n! Datastore space growth above
DT
nDatastore space time remaining
is low
1 Add more capacity to the
datastore.
2 Use vSphere vMotion to migrate
some virtual machines to a
dierent datastore.
3 Delete unused snapshots of virtual
machines from datastore.
4 Delete any unused templates on
the datastore.
Datastore is projected to run out of
disk space.
Symptoms include all of the
following:
n! Datastore space usage reaching
warning level
n! Datastore space growth above
DT
nDatastore space time remaining
is low
1 Check if datastore usage is a
planned growth and expand the
storage if necessary.
2 Use vSphere vMotion to migrate
some virtual machines to a
dierent datastore.
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Data Center Alert Definitions
The vCenter adapter provides alert denitions that generate alerts on the Data Center objects in your
environment.
Risk/Symptom-Based
These alert denitions have the following impact and criticality information:
Impact Risk
Criticality Symptom-based
Alert Definition Symptoms Recommendations
Data center has unbalanced CPU
"demand" workload.
Symptoms include all of the
following:
nDRS enabled
nDRS fully automated
nDC is unbalanced on CPU
"demand" workload
nDC has signicant CPU
"demand" workload dierence
nAt 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:
nDRS enabled
nDRS fully enabled
nDC is unbalanced on memory
"demand" workload dierence
nAt 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:
nDRS enabled
nDRS fully automated
nDC is unbalanced on memory
"consumed" workload
nDC has signicant memory
"consumed" workload dierence
nAt least one cluster in DC has
high memory "consumed"
workload
Rebalance the container to spread the
workload more evenly.
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Custom Data Center Alert Definitions
The vCenter adapter provides alert denitions that generate alerts on the Custom Data Center objects in
your environment.
Risk/Symptom-Based
These alert denitions 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:
nDRS enabled
nDRS fully automated
nCDC is unbalanced on CPU
"demand" workload
nCDC has signicant CPU
"demand" workload dierence
nAt 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:
nDRS enabled
nDRS fully automated
nCDC is unbalanced on memory
"demand" workload
nCDC has signicant memory
"demand" workload dierence
nAt 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:
nDRS enabled
nDRS fully automated
nCDC is unbalanced on memory
"consumed" workload
nCDC has signicant memory
"consumed" workload dierence
nAt least one cluster in CDC has
high memory"consumed"
workload
Rebalance the container to spread the
workload more evenly.
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Index
A
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
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
M
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
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Windows service 127
write buffer capacity 109
metrics for the vRealize Automation solution 107
multiprocess service, metrics 107, 109–111,
114, 127, 128, 146
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
V
vCenter adapter, properties 132
virtual machine, properties 132
W
write buffer metrics, disk groups 109
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