vRealize Operations
Definitions for Metrics,
Properties, and Alerts
vRealize Operations Manager 6.7
vRealize Operations Definitions for Metrics, Properties, and Alerts
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Contents
About vRealize Operations Manager Reference for Metrics, Properties, and Alerts 4
Metric Definitions in vRealize Operations Manager 5
1
Metrics for vCenter Server Components 6
Calculated Metrics 84
Self-Monitoring Metrics for vRealize Operations Manager 90
vRealize Automation Metrics 117
Metrics for vSAN 121
Metrics for the Operating Systems and Remote Service Monitoring Plug-ins in
End Point Operations Management 131
Property Definitions in vRealize Operations Manager 150
2
Properties for vCenter Server Components 150
Self-Monitoring Properties for vRealize Operations Manager 166
Properties for vSAN 167
Alert Definitions in vRealize Operations Manager 170
3
Cluster Compute Resource Alert Definitions 171
Host System Alert Definitions 176
vRealize Automation Alert Definitions 190
vSAN Alert Definitions 191
Alerts in the vSphere Web Client 196
vSphere Distributed Port Group 196
Virtual Machine Alert Definitions 197
vSphere Distributed Switch Alert Definitions 204
vCenter Server Alert Definitions 205
Datastore Alert Definitions 206
Data Center Alert Definitions 211
Custom Data Center Alert Definitions 212
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About vRealize Operations Manager Reference for Metrics, Properties, and Alerts
The vRealize Operations Manager Reference for Metrics, Properties, and Alerts provides information
about the metric, properties, and alert definitions provided with vRealize Operations Manager.
Intended Audience
This information is intended for anyone who wants to install and configure vRealize Operations Manager
by using a virtual appliance deployment. The information is written for experienced virtual machine
administrators who are familiar with enterprise management applications and datacenter operations.
VMware Technical Publications Glossary
VMware Technical Publications provides a glossary of terms that might be unfamiliar to you. For
definitions of terms as they are used in VMware technical documentation, go to
http://www.vmware.com/support/pubs.
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Metric Definitions in
vRealize Operations Manager 1
Metric definitions provide an overview of how the metric value is calculated or derived. If you understand
the metric, you can better tune vRealize Operations Manager to display results that help you to manage
your environment.
vRealize Operations Manager collects data from objects in your environment. Each piece of data
collected is called a metric observation or value. vRealize Operations Manager uses the VMware
vCenter® adapter to collect raw metrics. vRealize Operations Manager uses the
vRealize Operations Manager adapter to collect self-monitoring metrics. In addition to the metrics it
collects, vRealize Operations Manager calculates capacity metrics, badge metrics, and metrics to monitor
the health of your system.
All metric definitions are provided. The metrics reported on your system depend on the objects in your
environment. You can use metrics to help troubleshoot problems. See the vRealize Operations Manager
User Guide.
Changes in Metric Availability
The CPU Demand of Recommended (%) metric is no longer available in vRealize Operations Manager
version 6.x. To approximate the metric, create a super metric using the following calculations, and add it
to your Views and Reports as needed.
( (CPU|Stress Free Demand (MHz)) × (CPU|Current Size in Unit(s)) ) ÷ ( (CPU|
Recommended Size (vCPUs)) × (CPU|Current Size (MHz)) )
For more information about super metrics, see the vRealize Operations Manager Information Center.
This chapter includes the following topics:
n
Metrics for vCenter Server Components
n
Calculated Metrics
n
Self-Monitoring Metrics for vRealize Operations Manager
n
vRealize Automation Metrics
n
Metrics for vSAN
n
Metrics for the Operating Systems and Remote Service Monitoring Plug-ins in End Point Operations
Management
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metrics for vCenter Server Components
vRealize Operations Manager connects to VMware vCenter Server® instances through the vCenter
adapter to collect metrics for vCenter Server components and uses formulas to derive statistics from
those metrics. You can use metrics to troubleshoot problems in your environment.
vCenter Server components are listed in the describe.xml file for the vCenter adapter. The following
example shows sensor metrics for the host system in the describe.xml file.
<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.
CPU Usage Metrics
CPU usage metrics provide information about CPU use.
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vRealize Operations Definitions for Metrics, Properties, and Alerts
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. This number is lower than the highest
number experienced by the VM most impacted by CPU contention.
Use this metric to verify if the host can serve all its VMs efficiently. Low contention
means that the VM can access everything it demands to run smoothly. It means that
the infrastructure is providing good service to the application team.
When using this metric, ensure that the number is within your expectation. Look at
both the relative number and the absolute number. Relative means a drastic change
in value, meaning that the ESXi is unable to serve the VMs. Absolute means that
the real value itself is high. Investigate why the number is high. One factor that
impacts this metric is CPU Power Management. If CPU Power Management clocks
down the CPU speed from 3 GHz to 2 GHz, the reduction in speed is accounted for
because it shows that the VM is not running at full speed.
This metric is calculated in the following way: cpu|capacity_contention / (200 *
summary|number_running_vcpus)
Key: cpu|capacity_contentionPct
CPU|Demand (%) This metric shows the amount of CPU resources a virtual machine might use if there
were no CPU contention or CPU limit. This metric represents the average active
CPU load for the past five minutes.
Keep this number below 100% if you set the power management to maximum.
This metric is calculated in the following way: ( cpu.demandmhz /
cpu.capacity_provisioned)*100
Key: cpu|demandPct
CPU|Demand (MHz) This metric shows the amount of CPU resources a virtual machine might use if there
were no CPU contention or CPU limit.
Key: cpu|demandmhz
CPU|Demand CPU demand in megahertz.
Key: cpu|demand_average
CPU|IO wait IO wait (ms).
Key: cpu|iowait
CPU|number of CPU Sockets Number of CPU sockets.
Key: cpu|numpackages
CPU|Overall CPU Contention Overall CPU contention in milliseconds.
Key: cpu|capacity_contention
CPU|Provisioned Capacity (MHz) Capacity in MHz of the physical CPU cores.
Key: cpu|capacity_provisioned
CPU|Provisioned vCPU(s) Number of provisioned CPU cores.
Key: cpu|corecount_provisioned
CPU|Reserved Capacity (MHz) Total CPU capacity reserved by virtual machines.
Key: cpu|reservedCapacity_average
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
CPU|Usage (MHz) CPU usages, as measured in megahertz, during the interval.
n
VM - Amount of actively used virtual CPU. This is the host's view of the CPU
usage, not the guest operating system view.
n
Host - Sum of the actively used CPU of all powered on virtual machines on a
host. The maximum possible value is the frequency of the two processors
multiplied by the number of processors. For example, if you have a host with
four 2 GHz CPUs running a virtual machine that is using 4000 MHz, the host is
using two CPUs completely: 400 / (4 2000) = 0.50
Key: cpu|usagemhz_average
CPU|Wait Total CPU time spent in wait state. The wait total includes time spent in the CPU
Idle, CPU Swap Wait, and CPU I/O Wait states.
Key: cpu|wait
CPU|Workload (%) Percent of workload
Key: cpu|workload
Memory Metrics
Memory metrics provide information about memory use and allocation.
Metric Name Description
mem|Contention (%) This metric shows the percentage of time VMs are waiting to access swapped
memory.
Use this metric to monitor ESXi memory swapping. A high value indicates that the
ESXi is running low on memory, and a large amount of memory is being swapped.
Key: mem|host_contentionPct
mem|Machine Demand (KB) Host memory demand in kilobytes.
Key: mem|host_demand
mem|Provisioned Memory Provisioned host memory in kilobytes.
Key: mem|host_provisioned
mem|Reserved Capacity (KB) Total amount of memory reservation used by powered-on virtual machines and
vSphere services on the host.
Key: mem|reservedCapacity_average
mem|Usable Memory (KB) Usable host memory in kilobytes.
Key: mem|host_usable
mem|Host Usage (KB) Host memory use in kilobytes.
Key: mem|host_usage
mem|Usage/Usable (%) Memory usage as percentage of total configured or available memory.
Key: mem|host_usagePct
mem|Workload (%) Percent of workload.
Key: mem|workload
Network Metrics
Network metrics provide information about network performance.
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
net|Packets Dropped (%) This metric shows the percentage of received and transmitted packets dropped in
the collection interval.
Use this metric to monitor the reliability and performance of the ESXi network. A
high value indicates that the network is not reliable and performance decreases.
Key: net|droppedPct
net|Usage Rate (KB per second) Sum of the data transmitted and received for all of the NIC instances of the host or
virtual machine.
Key: net|usage_average
net|Workload (%) Percent of workload.
Key: net|workload
Disk Metrics
Disk metrics provide information about disk use.
Metric Name Description
disk|Total IOPS Average number of commands issued per second during the collection cycle.
Key: disk|commandsAveraged_average
disk|Usage Rate (KB per second) Average of the sum of the data read and written for all of the disk instances of the
host or virtual machine.
Key: disk|usage_average
disk|Workload (%) Percent of workload.
Key: disk|workload
Summary Metrics
Summary metrics provide information about overall performance.
Metric Name Description
summary|Number of Running Hosts Number of running hosts.
Key: summary|number_running_hosts
summary|Number of Running VMs This metric shows the number of running VMs at a given point in time. The data is
sampled every five minutes.
A large number of running VMs might be a reason for CPU or memory spikes
because more resources are used in the host. The number of running VMs gives
you a good indicator of how many requests the ESXi host must juggle. Powered off
VMs are not included because they do not impact ESXi performance. A change in
the number of running VMs can contribute to performance problems. A high
number of running VMs in a host also means a higher concentration risk, because
all the VMs 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|Number of Clusters Total number of clusters.
Key: summary|total_number_clusters
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
summary|Total Number of Datastores Total number of datastores.
Key: summary|total_number_datastores
summary|Number of Hosts Total number of hosts.
Key: summary|total_number_hosts
summary|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
summary|Average Running VM Count per
Running Host
Number of virtual CPUs on powered-on virtual machines.
Key: summary|number_running_vcpus
Average running virtual machine count per running host.
Key: summary|avg_vm_density
vCenter Server Metrics
vRealize Operations Manager collects CPU use, disk, memory, network, and summary metrics for
vCenter Server system objects.
vCenter Server metrics include capacity and badge metrics. See definitions in:
n
Capacity and Project-Based Metrics
n
Badge Metrics
CPU Usage Metrics
CPU usage metrics provide information about CPU use.
Metric Name Description
Capacity Usage (%) Percent capacity used.
Key: cpu|capacity_usagepct_average
CPU Contention (%) Percent CPU contention.
Key: cpu|capacity_contentionPct
Demand (%) Percent demand.
Key: cpu|demandPct
Demand (MHz) Demand in megahertz.
Key: cpu|demandmhz
Demand CPU Demand.
Key: cpu|demand_average
IO Wait (ms) IO wait time in milliseconds.
Key: cpu|iowait
Number of CPU Sockets Number of CPU sockets.
Key: cpu|numpackages
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Overall CPU Contention (ms) Overall CPU contention in milliseconds.
Key: cpu|capacity_contention
Provisioned Capacity (MHz) Provisioned capacity in megahertz.
Key: cpu|capacity_provisioned
Provisioned vCPU Number of provisioned virtual CPU cores.
Key: cpu|corecount_provisioned
Reserved Capacity (MHz) Sum of the reservation properties of the immediate children of the host's root
resource pool.
Key: cpu|reservedCapacity_average
Usage (MHz) Average CPU use in megahertz.
Key: cpu|usagemhz_average
Wait (ms) CPU time spent on the idle state.
Key: cpu|wait
Overhead Amount of CPU that is overhead.
Key: cpu|overhead_average
Demand without overhead Value of demand excluding any overhead.
Key: cpu|demand_without_overhead
Provisioned Capacity Provisioned capacity (MHz).
Key: cpu|vm_capacity_provisioned
Datastore Metrics
Datastore metrics provide information about the datastore.
Metric Name Description
Outstanding IO requests OIO for datastore.
Key: datastore|demand_oio
Read IOPS Average number of read commands issued per second during the collection
interval.
Key: datastore|numberReadAveraged_average
Write IOPS Average number of write commands issued per second during the collection
interval.
Key: datastore|numberWriteAveraged_average
Read Throughput (KBps) Amount of data read in the performance interval.
Key: datastore|read_average
Write Throughput (KBps) Amount of data written to disk in the performance interval.
Key: datastore|write_average
Disk Metrics
Disk metrics provide information about disk use.
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Total IOPS Average number of commands issued per second during the collection cycle.
Key: disk|commandsAveraged_average
Total 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.
Key: disk|totalLatency_average
Total Throughput (KBps) Average of the sum of the data read and written for all the disk instances of the
host or virtual machine.
Key: disk|usage_average
Total queued outstanding operations Sum of queued operations and outstanding operations.
Key: disk|sum_queued_oio
Max Observed OIO Max observed IO for a disk.
Key: disk|max_observed
Disk Space Metrics
Disk space metrics provide information about disk space use.
Metric Name Description
Total disk space used (KB) Total disk space used on all datastores visible to this object.
Key: diskspace|total_usage
Total disk space (KB) Total disk space on all datastores visible to this object.
Key: diskspace|total_capacity
Total provisioned disk space (KB) Total provisioned disk space on all datastores visible to this object.
Key: diskspace|total_provisioned
Memory Metrics
Memory metrics provide information about memory use and allocation.
Metric Name Description
Contention (%) Percent host memory contention.
Key: mem|host_contentionPct
Machine Demand (KB) Host memory demand in kilobytes.
Key: mem|host_demand
ESX System Usage Memory usage by the VMkernel and ESX user-level services.
Key: mem|host_systemUsage
Provisioned Memory (KB) Provisioned host memory in kilobytes.
Key: mem|host_provisioned
Reserved Capacity (KB) Sum of the reservation properties of the immediate children of the host's root
resource pool.
Key: mem|reservedCapacity_average
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Usable Memory (KB) Usable host memory in kilobytes.
Key: mem|host_usable
Host Usage (KB) Host memory use in kilobytes.
Key: mem|host_usage
Usage/Usable (%) Percent host memory used.
Key: mem|host_usagePct
Contention (KB) Host contention in kilobytes.
Key: mem|host_contention
VM Overhead (KB) Memory overhead reported by host.
Key: mem|overhead_average
Network Metrics
Network metrics provide information about network performance.
Metric Name Description
Packets Dropped (%) Percent network packets dropped.
Key: net|droppedPct
Total Throughput (KBps) Sum of the data transmitted and received for all of the NIC instances of the
host or virtual machine.
Key: net|usage_average
Packets Received Number of packets received in the performance interval.
Key: net|packetsRx_summation
Packets Transmitted Number of packets transmitted in the performance interval.
Key: net|packetsTx_summation
Received Packets Dropped Number of received packets dropped in the performance interval.
Key: net|droppedRx_summation
Transmitted Packets Dropped Number of transmitted packets dropped in the performance interval.
Key: net|droppedTx_summation
Data Transmit Rate (KBps) Average amount of data transmitted per second.
Key: net|transmitted_average
Data Receive Rate (KBps) Average amount of data received per second.
Key: net|received_average
Summary Metrics
Summary metrics provide information about overall performance.
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Number of Running Hosts Number of hosts that are on.
Key: summary|number_running_hosts
Number of Running VMs Number of virtual machines that are on.
Key: summary|number_running_vms
Number of Clusters Total number of clusters.
Key: summary|total_number_clusters
Total Number of Datastores Total number of datastores.
Key: summary|total_number_datastores
Number of Hosts Total number of hosts.
Key: summary|total_number_hosts
Number of VMs Total number of virtual machines.
Key: summary|total_number_vms
Maximum Number of VMs Maximum number of virtual machines.
Key: summary|max_number_vms
Workload Indicator (%) Percent workload indicator.
Key: summary|workload_indicator
Total Number of data centers Total number of data centers.
Key: summary|total_number_datacenters
Number of Cores on Powered On Hosts Number of cores on powered-on hosts.
Key: summary|number_powered_on_cores
Number VCPUs on Powered on VMs Number of virtual CPUs on powered-on virtual machines.
Key: summary|number_running_vcpus
Average Running VM Count per Running Host Average running virtual machine count per running host.
Key: summary|avg_vm_density
VC Query Time (ms) vCenter Server query time in milliseconds.
Key: summary|vc_query_time
Derived Metrics Computation Time (ms) Derived metrics computation time in milliseconds.
Key: summary|derived_metrics_comp_time
Number of objects Number of objects.
Key: summary|number_objs
Number of VC Events Number of vCenter Server events.
Key: summary|number_vc_events
Number of SMS Metrics Number of SMS metrics.
Key: summary|number_sms_metrics
Collector Memory Usage (MB) Collector memory use in megabytes.
Key: summary|collector_mem_usage
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Disabled Metrics
The following metrics are disabled in this version of vRealize Operations Manager. This means that they
do not collect data by default.
You can enable these metrics in the Policy workspace. For more information, in VMware Docs search for
Collect Metrics and Properties Details.
Metric Name Description
Max Observed Number of Outstanding IO
Operations
Max Observed Read Rate Max observed rate of reading data from the datastore.
Max Observed Reads per second Max observed average number of read commands issued per second during
Max Observed Writes per second Max observed average number of write commands issued per second
Max Observed Write Rate Max observed rate of writing data from the datastore.
Max Observed Throughput (KBps) Max observed rate of network throughput.
Max Observed Transmitted Throughput (KBps) Max observed transmitted rate of network throughput.
Max Observed Received Throughput (KBps) Max observed received rate of network throughput.
Maximum observed number of outstanding IO operations.
Key: datastore|maxObserved_OIO
Key: datastore|maxObserved_Read
the collection interval.
Key: datastore|maxObserved_NumberRead
during the collection interval.
Key: datastore|maxObserved_NumberWrite
Key: datastore|maxObserved_Write
Key: net|maxObserved_KBps
Key: net|maxObserved_Tx_KBps
Key: net|maxObserved_Rx_KBps
Virtual Machine Metrics
vRealize Operations Manager collects configuration, CPU use, memory, datastore, disk, virtual disk,
guest file system, network, power, disk space, storage, and summary metrics for virtual machine objects.
Capacity metrics can be calculated for virtual machine objects. See Capacity and Project-Based Metrics.
Configuration Metrics for Virtual Machines
Configuration metrics provide information about virtual machine configuration.
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Config|Thin Provisioned Disk Thin Provisioned Disk.
Key: config|hardware|thin_Enabled
Config|Number of CPUs Number of CPUs for a Virtual Machine.
From vRealize Operations Manager 6.7 and onwards, this
metric is measured in vCPUs instead of cores.
Key: config|hardware|num_Cpu
Config|Disk Space Disk space metrics.
Key: config|hardware|disk_Space
CPU Usage Metrics for Virtual Machines
CPU usage metrics provide information about CPU use.
Metric Name Description
CPU|IO Wait (ms) CPU time spent waiting for IO.
Key: cpu|iowait
CPU|Overall CPU Contention (ms) The amount of time the CPU cannot run due to contention.
Key: cpu|capacity_contention
CPU|Reservation Used CPU Reservation Used.
Key: cpu|reservation_used
CPU|Effective Limit CPU Effective Limit.
Key: cpu|effective_limit
CPU|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
CPU|Capacity entitlement (MHz) CPU entitlement for the VM after considering all limits.
Key: cpu|capacity_entitlement
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 megahertz.
Key: cpu|capacity_provisioned
CPU|Demand (MHz) CPU demand in megahertz.
Key: cpu|demandmhz
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
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 might 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|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 when the VM is undersized.
Key: cpu|usage_average
CPU|Usage (MHz) CPU use in megahertz.
Key: cpu|usagemhz_average
CPU|System (ms) CPU time spent on system processes.
Key: cpu|system_summation
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. A large ready time 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|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|Co-stop (%) Percentage of time the VM is ready to run, but is unable to
due to co-scheduling constraints.
Key: cpu|costopPct
CPU|Latency Percentage of time the VM is unable to run because it is
contending for access to the physical CPUs.
Key: cpu|latency_average
CPU|Max Limited Time the VM is ready to run, but is not run due to maxing
out its CPU limit setting.
Key: cpu|maxlimited_summation
CPU|Overlap Time the VM was interrupted to perform system services on
behalf of that VM or other VMs.
Key: cpu|overlap_summation
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
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.
Metric Name Description
rescpu|CPU Active (%) (interval) The average active time (actav) or peak active time (actpk)
for the CPU during various intervals.
Key:
rescpu|actav1_latest
rescpu|actav5_latest
rescpu|actav15_latest
rescpu|actpk1_latest
rescpu|actpk5_latest
rescpu|actpk15_latest
rescpu|CPU Running (%) (interval) The average runtime (runav) or peak active time (runpk) for
the CPU during various intervals.
Key:
rescpu|runav1_latest
rescpu|runav5_latest
rescpu|runav15_latest
rescpu|runpk1_latest
rescpu|runpk5_latest
rescpu|runpk15_latest
rescpu|CPU Throttled (%) (interval) Amount of CPU resources over the limit that were refused,
average over various intervals.
Key:
rescpu|maxLimited1_latest
rescpu|maxLimited5_latest
rescpu|maxLimited15_latest
rescpu|Group CPU Sample Count The sample CPU count.
Key: rescpu|sampleCount_latest
rscpu|Group CPU Sample Period (ms) The sample period.
Key: rscpu|samplePeriod_latest
Memory Metrics for Virtual Machines
Memory metrics provide information about memory use and allocation.
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Mem|Host Active (KB) Host active memory use in kilobytes.
Key: mem|host_active
Mem|Contention (KB) Memory contention in kilobytes.
Key: mem|host_contention
Mem|Contention (%) Percent memory contention.
Key: mem|host_contentionPct
Mem|Guest Configured Memory (KB) Guest operating system configured memory in kilobytes.
Key: mem|guest_provisioned
Mem|Guest Active Memory (%) Percent guest operating system active memory.
Key: mem|guest_activePct
Mem|Guest Non Pageable Memory (KB) Guest operating system non-pageable memory in kilobytes.
Key: mem|guest_nonpageable_estimate
Mem|Reservation Used Memory Reservation Used.
Key: mem|reservation_used
Mem|Effective Limit Memory Effective Limit.
Key: mem|effective_limit
Mem|Demand for aggregation Host demand for aggregation.
Key: mem|host_demand_for_aggregation
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|Host Workload Host Workload (%).
Key: host_workload
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
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Metric Name Description
Mem|Swap Out (KB) Amount of memory swapped out in kilobytes.
Key: mem|swapout_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|Swap In Rate (KBps) Rate at which memory is swapped from disk into active
memory during the interval.
Key: mem|swapinRate_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
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|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
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Mem|Overhead Touched Actively touched overhead memory (KB) reserved for use
as the virtualization overhead for the VM.
Key: mem|overheadTouched_average
Memory|VM Memory Demand (kb) Key: mem|vmMemoryDemand
Memory|Consumed (%) Key: mem|consumedPct
Datastore Metrics for Virtual Machines
Datastore metrics provide information about datastore use.
Metric Name Description
Datastore|Total IOPS 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|Total 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|Total Throughput (KBps) Usage Average (KBps).
Key: datastore|usage_average
Datastore|Used Space (MB) Used space in megabytes.
Key: datastore|used
Datastore|Not Shared (GB) Space used by VMs that is not shared.
Key: datastore|notshared
Datastore|Read IOPS Average number of read commands issued per second
during the collection interval.
Key: datastore|numberReadAveraged_average
Datastore|Write IOPS Average number of write commands issued per second
during the collection interval.
Key: datastore|numberWriteAveraged_average
Datastore|Read Throughput (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
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Metric Name Description
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 Throughput (KBps) 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
Disk Metrics for Virtual Machines
Disk metrics provide information about disk use.
Metric Name Description
Disk|Read IOPS Average number of read commands issued per second
during the collection interval.
Key: disk|numberReadAveraged_average
Disk|Write IOPS Average number of write commands issued per second
during the collection interval.
Key: disk|numberWriteAveraged_average
Disk|Total IOPS Average number of commands issued per second during the
collection interval.
Key: disk|commandsAveraged_average
Disk|Total Throughput (KBps) Use rate in kilobytes per second.
Key: disk|usage_average
Disk|I/O Usage Capacity This metric is a function of storage|usage_average and disk|
workload. Storage|usage_average is an average over all
storage devices. This means that disk|usage_capacity is not
specific to the selected VM or the host of the VM.
Key: disk|usage_capacity
Disk|Number of Outstanding IO Operations Number of outstanding IO operations.
Key: disk|diskoio
Disk|Queued Operations Queued operations.
Key: disk|diskqueued
Disk|Demand (%) Percent demand.
Key: disk|diskdemand
Disk |Total Queued Outstanding Operations Sum of Queued Operation and Outstanding Operations.
Key: disk |sum_queued_oio
Disk|Max Observed OIO Max Observed IO for a disk.
Key: disk|max_observed
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Metric Name Description
Disk|Read Throughput KBps) Amount of data read in the performance interval.
Key: disk|read_average
Disk|Write Throughput (KBps) Amount of data written to disk in the performance interval.
Key: disk|write_average
Disk|Read Requests Number of times data was read from the disk in the defined
interval.
Key: disk|numberRead_summation
Disk|Write Requests Number of times data was written to the disk in the defined
interval.
Key: disk|numberWrite_summation
Disk|Bus Resets The number of bus resets in the performance interval.
Key: disk|busResets_summation
Disk|Commands Issued The number of disk commands issued in the performance
interval.
Key: disk|commands_summation
Disk|Commands canceled The number of disk commands canceled in the performance
interval.
Key: disk|commandsAborted_summation
Disk|Highest Latency Highest latency.
Key: disk|maxTotalLatency_latest
Disk|SCSI Reservation Conflicts SCSI Reservation Conflicts.
Key: disk|scsiReservationConflicts_summation
Disk|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|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|Total 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.
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
VirtualDisk|Usage Average CPU usage as a percentage.
Key: virtualDisk|usage
VirtualDisk|Total Latency Total latency.
Key: virtualDisk|totalLatency
VirtualDisk|Total IOPS 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 Throughput (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 Throughput (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 canceled 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
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
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
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
Virtual Disk|Outstanding IO requests (OIOs) Key: virtualDisk|vDiskOIO
Virtual Disk|Used Disk Space (GB) Key: virtualDisk|actualUsage
Guest File System Metrics for Virtual Machines
Guest file system metrics provide information about guest file system capacity and free space.
Metric Name Description
Guest file system|Guest File System Capacity (MB) Total capacity on guest file system in megabytes.
Key: guestfilesystem|capacity
Guest file system|Guest File System Free (MB) Total free space on guest file system in megabytes.
Key: guestfilesystem|freespace
Guest file system|Guest File System Usage (%) Percent guest file system.
Key: guestfilesystem|percentage
Guest file system|Guest File System Usage Total usage of guest file system.
From vRealize Operations Manager 6.7 and onwards, this
metric is measured in GBs.
Key: guestfilesystem|usage
Guest file system|Total Guest File System Capacity (GB) This metric displays the amount of disk space allocated for
the VM.
Correlate other metrics with this metric to indicate if changes
occur in the disk space allocation for the VM.
Key: guestfilesystem|capacity_total
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Guest file system|Total Guest File System Usage (%) This metric displays the amount of display 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 might impact your system.
Key: guestfilesystem|percentage_total
Guest file system|Total Guest File System Usage Total usage of guest file system.
Key: guestfilesystem|usage_total
Network Metrics for Virtual Machines
Network metrics provide information about network performance.
Metric Name Description
Net|Total Throughput (KBps) The sum of the data transmitted and received for all the NIC
instances of the host or virtual machine.
Key: net|usage_average
Net|Data Transmit Rate (KBps) This metric shows the rate of data being sent by the VM per
second.
Key: net|transmitted_average
Net|Data Receive Rate (KBps) This metric shows the rate of data received by the VM per
second.
Key: net|received_average
Net|Packets per second Number of packets transmitted and received per second.
Key: net|PacketsPerSec
Net|Packets Received Number of packets received in the performance interval.
Key: net|packetsRx_summation
Net|Packets Transmitted Number of packets transmitted in the performance interval.
Key: net|packetsTx_summation
Net|Transmitted Packets Dropped This metric shows the number of transmitted packets
dropped in the collection interval
Key: net|dropppedTx_summation
Net|Packets Dropped (%) Percentage of packets dropped.
Key: net|droppedPct
Net|Packets Dropped Number of packets dropped in the performance interval.
Key: net|dropped
Net|Broadcast Packets Transmitted Number of broadcast packets transmitted during the
sampling interval.
Key: net|broadcastTx_summation
Net|Broadcast Packets Received Number of broadcast packets received during the sampling
interval.
Key: net|broadcastRx_summation
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Net|Multicast Packets Received Number of multicast packets received.
Key: net|multicastRx_summation
Net|Multicast Packets Transmitted Number of multicast packets transmitted.
Key: net|multicastTx_summation
Net|VM to Host Data Transmit Rate Average amount of data transmitted per second between VM
and host.
Key: net|host_transmitted_average
Net|VM to Host Data Receive Rate Average amount of data received per second between VM
and host.
Key: net|host_received_average
Net|VM to Host Usage Rate The sum of the data transmitted and received for all the NIC
instances between VM and host.
Key: net|host_usage_average
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.
Metric Name Description
Sys|Powered ON Powered on virtual machines. 1 if powered on, 0 if powered
off, -1 if unknown
Key: sys|poweredOn
Sys|OS Uptime Total time elapsed, in seconds, since last operating system
start.
Key: sys|osUptime_latest
Power Metrics for Virtual Machines
Power metrics provide information about power use.
Metric Name Description
Power|Energy (Joule) Energy use in joules.
Key: power|energy_summation
Power|Power (Watt) Average power use in watts.
Key: power|power_average
Disk Space Metrics for Virtual Machines
Disk space metrics provide information about disk space use.
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Diskspace|Provisioned Space (GB) Provisioned space in gigabytes.
Key: diskspace|provisioned
Diskspace|Provisioned Space for VM Provisioned space for VM.
Key: diskspace|provisionedSpace
Diskspace|Snapshot Space (GB) Space used by snapshots.
Key: diskspace|snapshot
Diskspace|Virtual machine used (GB) Space used by virtual machine files in gigabytes.
Key: diskspace|perDsUsed
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 Name Description
Storage|Total IOPS Average number of commands issued per second during the
collection interval.
Key: storage|commandsAveraged_average
Storage|Contention (%) Percent contention.
Key: storage|contention
Storage|Read Throughput (KBps) Read throughput rate in kilobytes per second.
Key: storage|read_average
Storage|Read IOPS 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 Throughput (KBps) Write throughput rate in kilobytes per second.
Key: storage|write_average
Storage|Write IOPS 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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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Summary|Running Number of running virtual machines.
Key: summary|running
Summary|Desktop Status Horizon View Desktop Status.
Key: summary|desktop_status
Disabled Metrics
The following metrics are disabled in this version of vRealize Operations Manager. This means that they
do not collect data by default.
You can enable these metrics in the Policy workspace. For more information, in VMware Docs search for
Collect Metrics and Properties Details.
Metric Name Description
CPU|50% of Recommended number of vCPUs to Remove This metric is superseded by the capacity engine.
cpu|numberToRemove50Pct
CPU|Capacity entitlement (mhz) cpu|capacity_entitlement
CPU|Co-stop (msec) Use the Co-Stop (%) metric instead of this metric.
cpu|costop_summation
CPU|Demand Over Capacity (mhz) cpu|demandOverCapacity
CPU|Demand Over Limit (mhz) Use Contention (%) metric instead of this metric.
cpu|demandOverLimit
CPU|Dynamic entitlement cpu|dynamic_entitlement
CPU|Estimated entitlement cpu|estimated_entitlement
CPU|Idle (%) cpu|idlePct
CPU|Idle (msec) cpu|idle_summation
CPU|IO Wait (msec) cpu|iowait
CPU|Normalized Co-stop (%) Use the Co-Stop (%) metric instead of this metric.
cpu|perCpuCoStopPct
CPU|Provisioned vCPU(s) (Cores) cpu|corecount_provisioned
CPU|Ready (msec) Choose the Use Ready (%) metric instead of this metric.
cpu|ready_summation
CPU|Recommended number of vCPUs to Add This metric is superseded by the capacity engine
cpu|numberToAdd
CPU|Recommended number of vCPUs to Remove This metric is superseded by the capacity engine
cpu|numberToRemove
CPU|Recommended Size Reduction (%) cpu|sizePctReduction
CPU|Swap Wait (msec) cpu|swapwait_summation
CPU|Total Wait (msec) cpu|wait
CPU|Used (msec) cpu|used_summation
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
CPU|Wait (msec) cpu|wait_summation
Datastore I/O|Max Observed Number of Outstanding IO Operations datastore|maxObserved_OIO
Datastore I/O|Max Observed Read Rate (kbps) datastore|maxObserved_Read
Datastore I/O|Max Observed Reads per second datastore|maxObserved_NumberRead
Datastore I/O|Max Observed Write Rate (kbps) datastore|maxObserved_Write
Datastore I/O|Max Observed Writes per second datastore|maxObserved_NumberWrite
Disk Space|Not Shared (gb) diskspace|notshared
Disk Space|Number of Virtual Disks diskspace|numvmdisk
Disk Space|Shared Used (gb) diskspace|shared
Disk Space|Total disk space used (gb) diskspace|total_usage
Disk Space|Total disk space (gb) diskspace|total_capacity
Disk Space|Total provisioned disk space (gb) diskspace|total_provisioned
Disk Space|Virtual Disk Used (gb) diskspace|diskused
Guest File System stats|Total Guest File System Free (gb) guestfilesystem|freespace_total
Guest|Active File Cache Memory (kb) guest|mem.activeFileCache_latest
Guest|Context Swap Rate per second guest|contextSwapRate_latest
Guest|Huge Page Size (kb) guest|hugePage.size_latest
Guest|Page Out Rate per second guest|page.outRate_latest
Guest|Total Huge Pages guest|hugePage.total_latest
Memory|50% of Reclaimable Memory Capacity (gb) This metric is superseded by the capacity engine.
mem|wasteValue50PctInGB
Memory|Balloon (kb) mem|vmmemctl_average
Memory|Demand Over Capacity mem|demandOverCapacity
Memory|Demand Over Limit mem|demandOverLimit
Memory|Granted (kb) mem|granted_average
Memory|Guest Active (kb) mem|active_average
Memory|Guest Dynamic Entitlement (kb) mem|guest_dynamic_entitlement
Memory|Guest Workload (%) mem|guest_workload
Memory|Host Demand with Reservation (kb) mem|host_demand_reservation
Memory|Host Dynamic Entitlement (kb) mem|host_dynamic_entitlement
Memory|Host Usage (kb) mem|host_usage
Memory|Host Workload (%) mem|host_workload
Memory|Latency (%) Use the Memory Contention (%) metric instead of this
metric.
mem|latency_average
Memory|Numa Local Latest (kb) mem|numa.local_latest
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Memory|Numa Locality Average (%) mem|numa.locality_average
Memory|Numa Migrations Latest mem|numa.migrations_latest
Memory|Numa Remote Latest (kb) mem|numa.remote_latest
Memory|Recommended Size Reduction (%) mem|sizePctReduction
Memory|Shared (kb) mem|shared_average
Memory|Swap Out Rate (kbps) mem|swapoutRate_average
Memory|Usage (%) mem|usage_average
Memory|Estimated entitlement mem|estimated_entitlement
Network I/O|Data Receive Demand Rate (kbps) net|receive_demand_average
Network I/O|Data Transmit Demand Rate (kbps) net|transmit_demand_average
Network I/O|VM to Host Data Receive Rate (kbps) net|host_received_average
Network I/O|VM to Host Data Transmit Rate (kbps) net|host_transmitted_average
Network I/O|VM to Host Max Observed Received Throughput (kbps) net|host_maxObserved_Rx_KBps
Network I/O|VM to Host Max Observed Throughput (kbps) net|host_maxObserved_KBps
Network I/O|VM to Host Max Observed Transmitted Throughput
net|host_maxObserved_Tx_KBps
(kbps)
Network I/O|VM to Host Usage Rate (kbps) net|host_usage_average
Network|bytesRx (kbps) net|bytesRx_average
Network|bytesTx (kbps) net|bytesTx_average
Network|Demand (%) Use absolute numbers instead of this metric.
net|demand
Network|I/O Usage Capacity net|usage_capacity
Network|Max Observed Received Throughput (kbps) net|maxObserved_Rx_KBps
Network|Max Observed Throughput (kbps) net|maxObserved_KBps
Network|Max Observed Transmitted Throughput (kbps) net|maxObserved_Tx_KBps
Network|Packets Received per second net|packetsRxPerSec
Network|Packets Transmitted per second net|packetsTxPerSec
Network|Received Packets Dropped net|droppedRx_summation
Storage|Demand (kbps) storage|demandKBps
Storage|Read Latency (msec) storage|totalReadLatency_average
Storage|Write Latency (msec) storage|totalWriteLatency_average
Summary|CPU Shares summary|cpu_shares
Summary|Memory Shares summary|mem_shares
Summary|Number of Datastores summary|number_datastore
Summary|Number of Networks summary|number_network
Summary|Workload Indicator summary|workload_indicator
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
System|Build Number sys|build
System|Heartbeat sys|heartbeat_summation
System|Product String sys|productString
System|Uptime (sec) sys|uptime_latest
System|vMotion Enabled vMotion should be enabled for all. It is not necessary to
track all VMs every five minutes.
sys|vmotionEnabled
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.
Configuration Metrics for Host Systems
Configuration metrics provide information about host system configuration.
Metric Name Description
Configuration|Failover Hosts Failover Hosts.
Key: configuration|dasConfig|admissionControlPolicy|
failoverHost
Hardware Metrics for Host Systems
Hardware metrics provide information about host system hardware.
Metric Name Description
Hardware|Number of CPUs Number of CPUs for a host.
Key: hardware|cpuinfo|num_CpuCores
CPU Usage Metrics for Host Systems
CPU usage metrics provide information about CPU use.
Metric Name 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
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
CPU|CPU Contention (%) This metric indicates the percentage of time the virtual
machines in the ESXi hosts are unable to run because they are
contending for access to the physical CPU(s). This is the
average number of all VMs. Naturally, the number will be lower
than the highest number experienced by the worst hit VM (a VM
that suffers the highest CPU contention).
Use this metric to verify if the host is able to serve all of its VMs
well.
When using this metric, ensure the number is within your
expectation. The metric is affected by several factors so you
need to watch both relative numbers and absolute numbers.
Relative means a drastic change in value. This indicates that
the ESXi is unable to service its VMs.
Absolute means that the real value is high and should be
checked. 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 consideration. This is because the VM is not
running at full speed.
Key: cpu|capacity_contentionPct
CPU|Demand (%) This metric shows the percentage of CPU resources all the VMs
would use if there was no CPU contention or any CPU limits set.
It represents the average active CPU load for the past five
minutes.
Keep the number of this metric below 100% if you set Power
Management to Maximum.
Key: cpu|demandPct
CPU|Demand (MHz) CPU demand in megahertz.
Key: cpu|demandmhz
CPU|IO Wait (ms) IO wait time in milliseconds.
Key: cpu|iowait
CPU|Number of CPU Sockets Number of CPU sockets.
Key: cpu|numpackages
CPU|Overall CPU Contention (ms) Overall CPU contention in milliseconds.
Key: cpu|capacity_contention
CPU|Provisioned Capacity (MHz) Capacity in MHz of the physical CPU cores.
Key: cpu|capacity_provisioned
CPU|Provisioned virtual CPUs Provisioned virtual CPUs.
Key: cpu|corecount_provisioned
CPU|Total Wait CPU time spent in idle state.
Key: cpu|wait
CPU|Demand CPU demand.
Key: cpu|demand_average
CPU|Usage (MHz) CPU use in megahertz.
Key: cpu|usagemhz_average
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
CPU|Reserved Capacity (MHz) The sum of the reservation properties of the (immediate)
children of the host's root resource pool.
Key: cpu|reservedCapacity_average
CPU|Total Capacity (MHz) Total CPU capacity in megahertz.
Key: cpu|totalCapacity_average
CPU|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
CPU|Active Host Load For Balance (Long Term) Active Host Load For Balance (Long Term).
Key: cpu|acvmWorkloadDisparityPcttive_longterm_load
CPU|Active Host Load For Balance (Short Term) Active Host Load For Balance (Short Term).
Key: cpu|active_shortterm_load
CPU Utilization for Resources Metrics for Host Systems
CPU utilization for resources metrics provide information about CPU activity.
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Metric Name Description
Rescpu|CPU Active (%) (interval) Average active time for the CPU over the past minute, past five
minutes, and at one-minute, five-minute, and 15-minute peak
active times.
Key:
rescpu|actav1_latest
rescpu|actav5_latest
rescpu|actav15_latest
rescpu|actpk1_latest
rescpu|actpk5_latest
rescpu|actpk15_latest
Rescpu|CPU Running (%) (interval) Average run time for the CPU over the past minute, past five
minutes, past 15 minutes, and at one-minute, five-minute, and
15-minute peak times.
Key:
rescpu|runav1_latest
rescpu|runav5_latest
rescpu|runav15_latest
rescpu|runpk1_latest
rescpu|runpk5_latest
rescpu|runpk15_latest
Rescpu|CPU Throttled (%) (interval) Scheduling limit over the past minute, past five minutes, and
past 15 minutes.
Key:
rescpu|maxLimited1_latest
rescpu|maxLimited5_latest
rescpu|maxLimited15_latest
Rescpu|Group CPU Sample Count Group CPU sample count.
Key: rescpu|sampleCount_latest
Rescpu|Group CPU Sample Period (ms) Group CPU sample period in milliseconds.
Key: rescpu|samplePeriod_latest
Datastore Metrics for Host Systems
Datastore metrics provide information about datastore use.
Metric Name Description
Datastore|Outstanding IO requests OIO for datastore.
Key: datastore|demand_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
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Metric Name Description
Datastore|Total 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|Total Throughput (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|Read IOPS Average number of read commands issued per second during
the collection interval.
Key: datastore|numberReadAveraged_average
Datastore|Write IOPS Average number of write commands issued per second during
the collection interval.
Key: datastore|numberWriteAveraged_average
Datastore|Read Throughput (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
Datastore|Write Throughput (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
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Metric Name Description
Datastore|Data Read Rate Data Rate.
Key: datastore|datastoreReadIops_latest
Datastore|Read Load Storage DRS metric read load.
Key: datastore|datastoreReadLoadMetric_latest
Datastore|Outstanding Read Requests Outstanding Read Requests.
Key: datastore|datastoreReadOIO_latest
Datastore|Data Written Data Written.
Key: datastore|datastoreWriteBytes_latest
Datastore|Data Write Rate Data Write Rate.
Key: datastore|datastoreWriteIops_latest
Datastore|Write Load Storage DRS metric write load.
Key: datastore|datastoreWriteLoadMetric_latest
Datastore|Outstanding Write Requests Outstanding Write Requests.
Key: datastore|datastoreWriteOIO_latest
Datastore|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.
Metric Name Description
Disk|Total Throughput (KBps) Average of the sum of the data read and written for all of the
disk instances of the host or virtual machine.
disk|usage_average
Disk|I/O Usage Capacity This metric is a function of storage|usage_average and disk|
workload. storage|usage_average is an average over all
storage devices. This means that disk|usage_capacity is not
specific to the selected VM or the host of the VM.
Key: disk|usage_capacity
Disk|Total IOPS Average number of commands issued per second during the
collection interval.
Key: disk|commandsAveraged_average
Disk|Total 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|Read IOPS Average number of read commands issued per second during
the collection interval.
Key: disk|numberReadAveraged_average
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Metric Name Description
Disk|Write IOPS Average number of write commands issued per second during
the collection interval.
Key: disk|numberWriteAveraged_average
Disk|Read Requests Number of times data was read from the disk in the defined
interval.
Key: disk|numberRead_summation
Disk|Write Requests Number of times data was written to the disk in the defined
interval.
Key: disk|numberWrite_summation
Disk|Read Throughput (KBps) Amount of data read in the performance interval.
Key: disk|read_average
Disk|Write Throughput (KBps) Amount of data written to disk in the performance interval.
Key: disk|write_average
Disk|Bus Resets The number of bus resets in the performance interval.
Key: disk|busResets_summation
Disk|Commands Issued The number of disk commands issued in the performance
interval.
Key: disk|commands_summation
Disk|Commands Aborted The number of disk commands aborted in the performance
interval.
Key: disk|commandsAborted_summation
Disk|Physical Device Read Latency (ms) The average time taken to complete a read from the physical
device.
Key: disk|deviceReadLatency_average
Disk|Kernel Disk Read Latency (ms) The average time spent in ESX Server VMKernel per read.
Key: disk|kernelReadLatency_average
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|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
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Metric Name Description
Disk|Queue Write Latency (ms) The average time spent in the ESX Server VMKernel queue per
write.
Key: disk|queueWriteLatency_average
Disk|Physical Device Latency (ms) The average time taken to complete a command from the
physical device.
Key: disk|deviceLatency_average
Disk|Kernel Latency (ms) The average time spent in ESX Server VMKernel per
command.
Key: disk|kernelLatency_average
Disk|Queue Latency (ms) The average time spent in the ESX Server VMKernel queue per
command.
Key: disk|queueLatency_average
Disk|Number of Outstanding IO Operations Number of Outstanding IO Operations.
Key: disk|diskoio
Disk|Queued Operations Queued Operations.
Key: disk|diskqueued
Disk|Demand Demand.
Key: disk|diskdemand
Disk|Total Queued Outstanding operations Sum of Queued Operation and Outstanding Operations.
Key: disk|sum_queued_oio
Disk|Max Observed OIO Max Observed IO for a disk.
Key: disk|max_observed
Disk|Highest Latency Highest Latency.
Key: disk|maxTotalLatency_latest
Disk|Max Queue Depth Maximum queue depth during the collection interval.
Key: disk|maxQueueDepth_average
Disk|SCSI Reservation Conflicts SCSI Reservation Conflicts.
Key: disk|scsiReservationConflicts_summation
Memory Metrics for Host Systems
Memory metrics provide information about memory use and allocation.
Metric Name 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
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Metric Name Description
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
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
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Metric Name Description
Mem|Swap In (KB) Amount of memory swapped in.
Key: mem|swapin_average
Mem|Swap Out KB) Amount of memory swapped out.
Key: mem|swapout_average
Mem|Swap Used (KB) Amount of memory used for swapped space in kilobytes.
Key: mem|swapused_average
Mem|VM kernel Usage (KB) Amount of memory used by the VM kernel.
Key: mem|sysUsage_average
Mem|Unreserved (KB) Amount of unreserved memory in kilobytes.
Key: mem|unreserved_average
Mem|Balloon (KB) This metric shows the total amount of memory currently used
by the VM memory control. This memory was reclaimed from
the respective VMs at some point in the past, and was not
returned.
Use this metric to monitor how much VM memory has been
reclaimed by ESXi through memory ballooning.
The presence of ballooning indicates the ESXi has been under
memory pressure. The ESXi activates ballooning when
consumed memory reaches a certain threshold.
Look for increasing size of ballooning. This indicates that there
has been a shortage of memory more than once. Look for size
fluctuations which indicate the ballooned out page was actually
required by the VM. This translates into a memory performance
problem for the VM requesting the page, since the page must
first be brought back from the disk.
Key: mem|vmmemctl_average
Mem|Zero (KB) Amount of memory that is all zero.
Key: mem|zero_average
Mem|State (0-3) Overall state of the memory. The value is an integer between 0
(high) and 3 (low).
Key: mem|state_latest
Mem|Usage (KB) Host memory use in kilobytes.
Key: mem|host_usage
Mem|Usage (%) Memory currently in use as a percentage of total available
memory.
Key: mem|usage_average
Mem|Swap In Rate (KBps) Rate at which memory is swapped from disk into active
memory during the interval in kilobyte per second.
Key: mem|swapinRate_average
Mem|Swap Out Rate (KBps) Rate at which memory is being swapped from active memory to
disk during the current interval in kilobytes per second.
Key: mem|swapoutRate_average
Mem|Active Write (KB) Average active writes in kilobytes.
Key: mem|activewrite_average
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Metric Name Description
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
begins to reclaim memory from VMs through ballooning and
swapping.
Key: mem|lowfreethreshold_average
Mem|VM Memory Workload Disparity Percentage Memory workload disparity among the VMs on the
Host.
Key: mem|vmWorkloadDisparityPct
Mem|Active Host Load For Balance (Long Term) Active Host Load For Balance (Long Term).
Key: mem|active_longterm_load
Mem|Active Host Load For Balance (Short Term) Active Host Load For Balance (Short Term).
Key: mem|active_shortterm_load
Network Metrics for Host Systems
Network metrics provide information about network performance.
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vRealize Operations Definitions for Metrics, Properties, and Alerts
Metric Name Description
Net|Packets Transmitted per second This metric shows the number of packets transmitted during the
collection interval.
Key: net|packetsTxPerSec
Net|Packets per second Number of packets transmitted and received per second.
Key: net|packetsPerSec
Net|Total Throughput (KBps) The sum of the data transmitted and received for all the NIC
instances of the host or virtual machine.
Key: net|usage_average
Net|I/O Usage Capacity I/O Usage Capacity.
Key: net|usage_capacity
Net|Data Transmit Rate (KBps) Average amount of data transmitted per second.
Key: net|transmitted_average
Net|Data Receive Rate (KBps) Average amount of data received per second.
Key: net|received_average
Net|Packets Received Number of packets received in the performance interval.
Key: net|packetsRx_summation
Net|Packets Transmitted Number of packets transmitted in the performance interval.
Key: net|packetsTx_summation
Net|Received Packets Dropped Number of received packets dropped in the performance
interval.
Key: net|droppedRx_summation
Net|Transmitted Packets Dropped Number of transmitted packets dropped in the performance
interval.
Key: net|droppedTx_summation
Net|Packets Dropped (%) This metric shows the percentage of received and transmitted
packets dropped during the collection interval.
This metric is used to monitor reliability and performance of the
ESXi network. When a high value is displayed, the network is
not reliable and performance suffers.
Key: net|droppedPct
Net|Broadcast Packets Received Number of broadcast packets received during the sampling
interval.
Key: net|broadcastRx_summation
Net|Broadcast Packets Transmitted Number of broadcast packets transmitted during the sampling
interval.
Key: net|broadcastTx_summation
Net|Error Packets Transmitted Number of packets with errors transmitted.
Key: net|errorsTx_summation
Net|Multicast Packets Received Number of multicast packets received.
Key: net|multicastRx_summation
Net|Multicast Packets Transmitted Number of multicast packets transmitted.
Key: net|multicastTx_summation
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Metric Name Description
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 Name Description
Sys|Power On 1 if the host system is powered on, 0 if the host system is
powered off, or -1 if the power state is unknown.
Key: sys|poweredOn
Sys|Uptime (seconds) Number of seconds since the last system startup.
Key: sys|uptime_latest
Sys|Disk Usage (%) Percent disk use.
Key: sys|diskUsage_latest
Sys|Resource CPU Usage (MHz) Amount of CPU that the Service Console and other
applications use.
Key: sys|resourceCpuUsage_average
Sys|Resource CPU Active (1 min. average) Percentage of resource CPU that is active. Average value
during a one-minute period.
Key: sys|resourceCpuAct1_latest
Sys|Resource CPU Active (%) (5 min. average) Percentage of resource CPU that is active. Average value
during a five-minute period.
Key: sys|resourceCpuAct5_latest
Sys|Resource CPU Alloc Max (MHz) Maximum resource CPU allocation in megahertz.
Key: sys|resourceCpuAllocMax_latest
Sys|Resource CPU Alloc Min (MHz) Minimum resource CPU allocation in megahertz.
Key: sys|resourceCpuAllocMin_latest
Sys|Resource CPU Alloc Shares Number of resource CPU allocation shares.
Key: sys|resourceCpuAllocShares_latest
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Metric Name Description
Sys|Resource CPU Max Limited (%) (1 min. average) Percent of resource CPU that is limited to the maximum
amount. Average value during a one-minute period.
Key: sys|resourceCpuMaxLimited1_latest
Sys|Resource CPU Max Limited (%) (5 min. average) Percentage of resource CPU that is limited to the maximum
amount. Average value during a five-minute period.
Key: sys|resourceCpuMaxLimited5_latest
Sys|Resource CPU Run1 (%) Percent resource CPU for Run1.
Key: sys|resourceCpuRun1_latest
Sys|Resource CPU Run5 (%) Percent resource CPU for Run5.
Key: sys|resourceCpuRun5_latest
Sys|Resource Memory Alloc Max (KB) Maximum resource memory allocation in kilobytes.
Key: sys|resourceMemAllocMax_latest
Sys|Resource Memory Alloc Min (KB) Minimum resource memory allocation in kilobytes.
Key: sys|resourceMemAllocMin_latest
Sys|Resource Memory Alloc Shares Number of resource memory shares allocated.
Key: sys|resourceMemAllocShares_latest
Sys|Resource Memory Cow (KB) Cow resource memory in kilobytes.
Key: Sys|resourceMemCow_latest
Sys|Resource Memory Mapped (KB) Mapped resource memory in kilobytes.
Key: ys|resourceMemMapped_latest
Sys|Resource Memory Overhead (KB) Resource memory overhead in kilobytes.
Key: sys|resourceMemOverhead_latest
Sys|Resource Memory Shared (KB) Shared resource memory in kilobytes.
Key: sys|resourceMemShared_latest
Sys|Resource Memory Swapped (KB) Swapped resource memory in kilobytes.
Key: sys|resourceMemSwapped_latest
Sys|Resource Memory Touched (KB) Touched resource memory in kilobytes.
Key: sys|resourceMemTouched_latest
Sys|Resource Memory Zero (KB) Zero resource memory in kilobytes.
Key: sys|resourceMemZero_latest
Sys|Resource Memory Consumed Resource Memory Consumed Latest (KB).
Key: sys|resourceMemConsumed_latest
Sys|Resource File descriptors usage Resource File descriptors usage (KB).
Key: sys|resourceFdUsage_latest
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
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Management Agent Metrics for Host Systems
Management agent metrics provide information about memory use.
Metric Name Description
Management Agent|Memory Used (%) Amount of total configured memory that is available for use.
Key: managementAgent|memUsed_average
Management Agent|Memory Swap Used (KB) Sum of the memory swapped by all powered-on virtual
machines on the host.
Key: managementAgent|swapUsed_average
Management Agent|Memory Swap In (KBps) Amount of memory that is swapped in for the Service Console.
Key: managementAgent|swapIn_average
Management Agent|Memory Swap Out (KBps) Amount of memory that is swapped out for the Service
Console.
Key: managementAgent|swapOut_average
Management Agent|CPU Usage CPU usage.
Key: managementAgent|cpuUsage_average
Storage Path Metrics for Host Systems
Storage path metrics provide information about data storage use.
Metric Name 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 Throughput (KBps) Rate of reading data from the virtual disk.
Key: storagePath|read_average
StoragePath|Write Throughput (KBps) Rate of writing data.
Key: storagePath|write_average
StoragePath|Total IOPS Average number of commands issued per second during the
collection interval.
Key: storagePath|commandsAveraged_average
StoragePath|Read IOPS Average number of read commands issued per second during
the collection interval.
Key: storagePath|numberReadAveraged_average
StoragePath|Write IOPS Average number of write commands issued per second during
the collection interval.
Key: storagePath|totalWriteLatency_average
StoragePath|Write IOPS Average number of write commands issued per second during
the collection interval.
Key: storagePath|numberWriteAveraged_average
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Metric Name Description
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 Name Description
Storage Adapter|Total Usage (KBps) Total latency.
Key: storageAdapter|usage
Storage Adapter|Port WWN Port World Wide Name.
Key: storageAdapter|portWWN
Storage Adapter|Total IOPS Average number of commands issued per second by the
storage adapter during the collection interval.
Key: storageAdapter|commandsAveraged_average
Storage Adapter|Read IOPS Average number of read commands issued per second by the
storage adapter during the collection interval.
Key: storageAdapter|numberReadAveraged_average
Storage Adapter|Write IOPS Average number of write commands issued per second by the
storage adapter during the collection interval.
Key: storageAdapter|numberWriteAveraged_average
Storage Adapter|Read Throughput (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 Throughput (KBps) Rate of writing data by the storage adapter.
Key: storageAdapter|write_average
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Metric Name Description
Storage Adapter|Demand Demand.
Key: storageAdapter|demand
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 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 Name Description
Storage|Total IOPS 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 Throughput (KBps) Read throughput rate in kilobytes.
Key: storage|read_average
Storage|Read IOPS 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 Throughput (KBps) Write throughput rate in kilobytes per second.
Key: storage|write_average
Storage|Write IOPS Average number of write commands issued per second during
the collection interval.
Key: storage|numberWriteAveraged_average
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Sensor Metrics for Host Systems
Sensor metrics provide information about host system cooling.
Metric Name 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 Name Description
Power|Energy (Joule) Total energy used since last stats reset.
Key: power|energy_summation
Power|Power (Watt) Host power use in watts.
Key: power|power_average
Power|Power Cap (Watt) Host power capacity in watts.
Key: power|powerCap_average
Disk Space Metrics for Host Systems
Disk space metrics provide information about disk space use.
Metric Name 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
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Metric Name Description
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.
Metric Name 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 are used in the host.
Number of Running VMs gives you a good indicator of how
many requests the ESXi host must juggle. This excludes
powered off VMs as they do not impact ESXi performance. A
change in this number in your environment can contribute to
performance problems. A high number of running VMs in a
host also means a higher concentration risk, as all the VMs
will become unavailable (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
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Metric Name Description
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|Number of VMs Total number of virtual machines.
Key: summary|total_number_vms
HBR Metrics for Host Systems
Host-based replication (HBR) metrics provide information about vSphere replication.
Metric Name Description
HBR|Replication Data Received Rate Replication Data Received Rate.
Key: hbr|hbrNetRx_average
HBR|Replication Data Transmitted Rate Replication Data Transmitted Rate.
Key: hbr|hbrNetTx_average
HBR|Replicated VM Count Number of replicated virtual machines.
Key: hbr|hbrNumVms_average
Disabled Metrics
The following metrics are disabled in this version of vRealize Operations Manager. This means that they
do not collect data by default.
You can enable these metrics in the Policy workspace. For more information, in VMware Docs search for
Collect Metrics and Properties Details.
Metric Name Key
CPU|Idle (msec) cpu|idle_summation
CPU|Used (msec) cpu|used_summation
Datastore I/O|Average Observed Virtual Machine Disk I/O Workload datastore|vmPopulationAvgWorkload
Datastore I/O|Max Observed Number of Outstanding IO Operations datastore|maxObserved_OIO
Datastore I/O|Max Observed Read Rate (kbps) datastore|maxObserved_Read
Datastore I/O|Max Observed Reads per second datastore|maxObserved_NumberRead
Datastore I/O|Max Observed Write Rate (kbps) datastore|maxObserved_Write
Datastore I/O|Max Observed Writes per second datastore|maxObserved_NumberWrite
Datastore I/O|Maximum Observed VM Disk I/O Workload datastore|vmPopulationMaxWorkload
Network I/O|bytesRx (kbps) net|bytesRx_average
Network I/O|bytesTx (kbps) net|bytesTx_average
Network I/O|Demand (%) net|demand
Network I/O|Error Packets Received net|errorsRx_summation
Network I/O|Max Observed Received Throughput (kbps) net|maxObserved_Rx_KBps
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Metric Name Key
Network I/O|Max Observed Throughput (kbps) net|maxObserved_KBps
Network I/O|Max Observed Transmitted Throughput (kbps) net|maxObserved_Tx_KBps
Network I/O|Packets Received per second net|packetsRxPerSec
Network I/O|Packets Dropped net|dropped
Summary|Workload Indicator summary|workload_indicator
vFlash Module|Latest Number of Active Vm Disks vflashModule|numActiveVMDKs_latest
Cluster Compute Resource Metrics
vRealize Operations Manager collects configuration, disk space, CPU use, disk, memory, network, power,
and summary metrics for cluster compute resources.
Cluster Compute Resource metrics include capacity and badge metrics. See definitions in:
n
Capacity and Project-Based Metrics
n
Badge Metrics
Configuration Metrics for Cluster Compute Resources
Configuration metrics provide information about configuration settings.
Metric Name Description
Configuration|Failover Level DAS configuration failover level.
Key: configuration|dasconfig|failoverLevel
Configuration|Active Admission Control Policy DAS configuration active admission control policy.
Key: configuration|dasconfig|activeAdministrationControlPolicy
Configuration|CPU Failover Resources Percent Percent CPU failover resources for DAS configuration admission
control policy.
Key: configuration|dasconfig|adminissionControlPolicy|
cpuFailoverResourcesPercent
Configuration|Memory Failover Resources Percent Percent memory failover resources for DAS configuration admission
control policy.
Key: configuration|dasconfig|adminissionControlPolicy|
memoryFailoverResourcesPercent
Disk Space Metrics for Cluster Compute Resources
Disk space metrics provide information about disk space use.
Metric Name Description
Diskspace|Virtual machine used (GB) Space used by virtual machine files in gigabytes.
Key: diskspace|used
Diskspace|Total disk space used Total disk space used on all datastores visible to this object.
Key: diskspace|total_usage
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Metric Name Description
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|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 Name Description
CPU|Capacity Usage This metric shows the percentage of the capacity used.
Key: cpu|capacity_usagepct_average
CPU|CPU Contention (%) This metric is an indicator of the overall contention for CPU resources
that occurs across the workloads in the cluster. When contention
occurs, it means that some of the virtual machines are not immediately
getting the CPU resources they are requesting.
Use this metric to identify when a lack of CPU resources might be
causing performance issues in the cluster.
This metric is the sum of the CPU contention across all hosts in the
cluster averaged over two times the number of physical CPUs in the
cluster to account for hyper-threading. CPU contention takes into
account:
n
CPU Ready
n
CPU Co-stop
n
Power management
n
Hyper threading
This metric is more accurate than CPU Ready since it takes into
account CPU Co-stop and Hyper threading.
When using this metric, the number should be lower than the
performance you expect. If you expect performance at 10%, then the
number should be lower than 10%.
Since this value is averaged across all hosts in the cluster, you might
find that some hosts have a higher CPU contention while others are
lower. To ensure that vSphere spreads out the running workloads
across hosts, consider enabling a fully automated DRS in the cluster.
Key: cpu|capacity_contentionPct
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Metric Name Description
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
might use if there were no CPU contention or CPU limits set. It
represents the average active CPU load in the past five minutes.
Key: cpu|demandPct
CPU|Demand (MHz) Demand in megahertz.
Key: cpu|demandmhz
CPU|Number of CPU Sockets Number of CPU sockets.
Key: cpu|numpackages
CPU|Overall CPU Contention Overall CPU contention in milliseconds.
Key: cpu|capacity_contention
CPU|Host Provisioned Capacity Provisioned CPU capacity in megahertz.
Key: cpu|capacity_provisioned
CPU|Provisioned vCPUs Number of provisioned CPU cores.
Key: cpu|corecount_provisioned
CPU|Usage (MHz) Average CPU use in megahertz.
Key: cpu|usagemhz_average
CPU|Demand CPU Demand.
Key: cpu|demand_average
CPU|Overhead Amount of CPU overhead.
Key: cpu|overhead_average
CPU|Demand without overhead Value of demand excluding any overhead.
Key: cpu|demand_without_overhead
CPU|Provisioned Capacity Provisioned Capacity (MHz).
Key: cpu|vm_capacity_provisioned
CPU|Number of hosts stressed Number of hosts stressed.
Key: cpu|num_hosts_stressed
CPU|Stress Balance Factor Stress Balance Factor.
Key: cpu|stress_balance_factor
CPU|Lowest Provider Capacity Remaining Lowest Provider Capacity Remaining.
Key: cpu|min_host_capacity_remaining
CPU|Workload Balance Factor Workload Balance Factor.
Key: cpu|workload_balance_factor
CPU|Highest Provider Workload Highest Provider Workload.
Key: cpu|max_host_workload
CPU|Host workload Max-Min Disparity Difference of Max and Min host workload in the container.
Key: cpu|host_workload_disparity
CPU|Host stress Max-Min Disparity Difference of Max and Min host stress in the container.
Key: cpu|host_stress_disparity
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Disk Metrics for Cluster Compute Resources
Disk metrics provide information about disk use.
Metric Name Description
Disk|Total IOPS Average number of commands issued per second during the collection
interval.
Key: disk|commandsAveraged_average
Disk|Total 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|Read Latency (ms) 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|Write 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|totalWriteLatency_averag
Disk|Read Throughput (KBps) Number of times data was read from the disk in the defined interval.
Key: disk|numberRead_summation
Disk|Read IOPS Average number of read commands issued per second during the
collection interval.
Key: disk|numberReadAveraged_averag
Disk|Total Throughput (KBps) Average of the sum of the data read and written for all the disk
instances of the host or virtual machine.
Key: disk|usage_average
Disk|Write Throughput (KBps) Number of times data was written to disk during the collection interval.
Key: disk|numberWrite_summation
Disk|Write IOPS Average number of write commands issued per second during the
collection interval.
Key: disk|numberWriteAveraged_average
Disk|Read Requests Amount of data read from the disk during the collection interval.
Key: disk|read_average
Disk|Write Requests Amount of data written to the disk during the collection interval.
Key: disk|write_average
Disk|Commands Issued Number of disk commands issued during the collection interval.
Key: disk|commands_summation
Disk|Total Queued Outstanding operations Sum of queued operation and outstanding operations.
Key: disk|sum_queued_oio
Disk|Max Observed OIO Max observed outstanding IO for a disk.
Key: disk|max_observed
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Memory Metrics for Cluster Compute Resources
Memory metrics provide information about memory use and allocation.
Metric Name 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 of the VMs are not immediately
getting the memory resources that they are requesting.
Use this metric to identify when lack of memory resources might be
causing performance issues in the cluster.
Key: mem|host_contentionPct
Mem|Contention (KB) Contention in kilobytes.
Key: mem|host_contention
Mem|Decompression Rate (KBps Decompression rate in kilobytes.
Key: mem|decompressionRate_average
Mem|Granted (KB) Amount of memory available for use.
Key: mem|granted_average
Mem|Guest Active (KB) Amount of memory that is actively used.
Key: mem|active_average
Mem|Heap (KB) Amount of memory allocated for heap.
Key: mem|heap_average
Mem|Heap Free (KB) Free space in the heap.
Key: mem|heapfree_average
Mem|Balloon This metric shows the amount of memory currently used by the virtual
machine memory control. It is only defined at the VM level.
Key: mem|vmmemctl_average
Mem|VM Overhead (KB) Memory overhead reported by host.
Key: mem|overhead_average
Mem|Provisioned Memory (KB) Provisioned memory in kilobytes.
Key: mem|host_provisioned
Mem|Reserved Capacity (KB) Reserved capacity in kilobytes.
Key: mem|reservedCapacity_average
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Metric Name Description
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
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
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Metric Name Description
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
Mem|Host workload Max-Min Disparity Difference of Max and Min host workload in the container.
Key: mem|host_workload_disparity
Mem|Host stress Max-Min Disparity Difference of Max and Min host stress in the container.
Key: mem|host_stress_disparity
Network Metrics for Cluster Compute Resources
Network metrics provide information about network performance.
Metric Name Description
Net|Data Receive Rate (KBps) Average amount of data received per second.
Key: net|received_average
Net|Data Transmit Rate (KBps) Average amount of data transmitted per second.
Key: net|transmitted_average
Net|Packets Dropped Number of packets dropped in the performance interval.
Key: net|dropped
Net|Packets Dropped (%) Percentage of packets dropped.
Key: net|droppedPct
Net|Packets Received Number of packets received in the performance interval.
Key: net|packetsRx_summation
Net|Packets Transmitted Number of packets transmitted in the performance interval.
Key: net|packetsTx_summation
Net|Received Packets Dropped Number of received packets dropped in the performance interval.
Key: net|droppedRx_summation
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Metric Name Description
Net|Transmitted Packets Dropped Number of transmitted packets dropped in the performance interval.
Key: net|droppedTx_summation
Net|Total Throughput (KBps) The sum of the data transmitted and received for all the NIC instances
of the host or virtual machine.
Key: net|usage_average
Datastore Metrics for Cluster Compute Resources
Datastore metrics provide information about Datastore use.
Metric Name Description
Datastore|Outstanding IO requests OIO for datastore.
Key: datastore|demand_oio
Datastore|Read IOPS Average number of read commands issued per second during the
collection interval.
Key: datastore|numberReadAveraged_average
Datastore|Write IOPS Average number of write commands issued per second during the
collection interval.
Key: datastore|numberWriteAveraged_average
Datastore|Read Throughput (KBps) Amount of data read in the performance interval.
Key: datastore|read_average
Datastore|Write Throughput (KBps) Amount of data written to disk in the performance interval.
Key: datastore|write_average
Cluster Services Metrics for Cluster Compute Resources
Cluster Services metrics provide information about cluster services.
Metric Name Description
Cluster Services|Total Imbalance Key: clusterServices|number_drs_vmotion
Cluster Services|Total Imbalance Key: clusterServices|total_imbalance
Cluster Services|Total Imbalance Key: clusterServices|total_imbalance
ClusterServices|Effective CPU Resources (MHz) VMware DRS effective CPU resources available.
Key: clusterServices|effectivecpu_average
ClusterServices|Effective Memory Resources (KB) VMware DRS effective memory resources available.
Key: clusterServices|effectivemem_average
Cluster Services|DRS Initiated vMotion Count clusterServices|number_drs_vmotion
Power Metrics for Cluster Compute Resources
Power metrics provide information about power use.
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Metric Name Description
Power|Energy (Joule) Energy use in joules.
Key: power|energy_summation
Power|Power (Watt) Average power use in watts.
Key: power|power_average
Power|Power Cap (Watt) Average power capacity in watts.
Key: power|powerCap_average
Summary Metrics for Cluster Compute Resources
Summary metrics provide information about overall performance.
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 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 might serve its VMs. A vMotion can impact VM
performance during the stun time.
Key: summary|number_vmotion
Summary|Number of Hosts Total number of hosts.
Key: summary|total_number_hosts
Summary|Number of VMs Total number of virtual machines.
Key: summary|total_number_vms
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
Disabled Metrics
The following metrics are disabled in this version of vRealize Operations Manager. This means that they
do not collect data by default.
You can enable these metrics in the Policy workspace. For more information, in VMware Docs search for
Collect Metrics and Properties Details.
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Metric Name Key
CPU|Capacity Available to VMs (mhz) cpu|totalCapacity_average
CPU|IO Wait (msec) cpu|iowait
CPU|Reserved Capacity (mhz) cpu|reservedCapacity_average
CPU|Total Wait (msec) cpu|wait
Datastore I/O|Max Observed Number of Outstanding IO
Operations
Datastore I/O|Max Observed Read Rate (kbps) datastore|maxObserved_Read
Datastore I/O|Max Observed Reads per second datastore|maxObserved_NumberRead
Datastore I/O|Max Observed Write Rate (kbps) datastore|maxObserved_Write
Datastore I/O|Max Observed Writes per second datastore|maxObserved_NumberWrite
Storage|Total Usage (kbps) storage|usage_average
Summary|Average Provisioned Capacity per Running VM
(mhz)
Summary|Average Provisioned Memory per Running VM
(kb)
Summary|Average Provisioned Memory per Running VM
(kb)
Summary|Maximum Number of VMs summary|max_number_vms
Summary|Workload Indicator summary|workload_indicator
Network I/O|Max Observed Received Throughput (KBps) net|maxObserved_Rx_KBps
Network I/O|Max Observed Throughput (KBps) net|maxObserved_KBps
Network I/O|Max Observed Transmitted Throughput (KBps) net|maxObserved_Tx_KBps
datastore|maxObserved_OIO
summary|avg_vm_cpu
summary|avg_vm_mem
summary|avg_vm_mem
Resource Pool Metrics
vRealize Operations Manager collects configuration, CPU usage, memory, and summary metrics for
resource pool objects.
Resource Pool metrics include capacity and badge metrics. See definitions in:
n
Capacity and Project-Based Metrics
n
Badge Metrics
Configuration Metrics for Resource Pools
Configuration metrics provide information about memory and CPU allocation configuration.
Metric Name Description
Memory Allocation Reservation Memory Allocation Reservation.
Key: config|mem_alloc_reservation
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CPU Usage Metrics for Resource Pools
CPU usage metrics provide information about CPU use.
Metric Name Description
Capacity Demand Entitlement (%) CPU Capacity Demand Entitlement Percentage.
Key: cpu|capacity_demandEntitlementPct
Capacity entitlement (MHz) CPU Capacity Entitlement.
Key: cpu|capacity_entitlement
CPU Contention (%) CPU capacity contention.
Key: cpu|capacity_contentionPct
Demand (MHz) CPU demand in megahertz.
Key: cpu|demandmhz
Overall CPU Contention (ms) Overall CPU contention in milliseconds.
Key: cpu|capacity_contention
Usage Average CPU use in megahertz.
Key: cpu|usagemhz_average
Effective limit CPU effective limit.
Key: cpu|effective_limit
Reservation Used CPU reservation used.
Key: cpu|reservation_used
Estimated entitlement CPU estimated entitlement.
Key: cpu|estimated_entitlement
Dynamic entitlement CPU dynamic entitlement.
Key: cpu|dynamic_entitlement
Demand without overhead Value of demand excluding any overhead.
Key: cpu|demand_without_overhead
Memory Metrics for Resource Pools
Memory metrics provide information about memory use and allocation.
Metric Name Description
Balloon (KB) Amount of memory currently used by the virtual machine memory
control.
Key: mem|vmmemctl_average
Compression Rate (KBps) Compression rate in kilobytes per second.
Key: mem|compressionRate_average
Consumed (KB) Amount of host memory consumed by the virtual machine for
guest memory.
Key: mem|consumed_average
Contention (%) Machine contention percentage.
Key: mem|host_contentionPct
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Metric Name Description
Guest usage Guest memory entitlement.
Key: mem|guest_usage
Guest demand Guest memory entitlement.
Key: mem|guest_demand
Contention (KB) Machine contention in kilobytes.
Key: mem|host_contention
Decompression Rate (KBps) Decompression rate in kilobytes per second.
Key: mem|decompressionRate_average
Granted (KB) Average of memory available for use.
Key: mem|granted_average
Guest Active (KB) Amount of memory that is actively used.
Key: mem|active_average
VM Overhead (KB) Memory overhead reported by host.
Key: mem|overhead_average
Shared (KB) Amount of shared memory.
Key: mem|shared_average
Reservation Used Memory Reservation Used.
Key: mem|reservation_used
Dynamic Entitlement Memory Dynamic Entitlement.
Key: mem|dynamic_entitlement
Effective Limit Memory Effective Limit.
Key: mem|effective_limit
swapinRate_average Rate at which memory is swapped from disk into active memory
during the interval.
Key: mem|swapinRate_average
swapoutRate_average Rate at which memory is being swapped from active memory to
disk during the current interval.
Key: mem|swapoutRate_average
Swapped (KB) Amount of unreserved memory.
Key: mem|swapped_average
Usage (%) Memory currently in use as a percentage of total available
memory.
Key: mem|usage_average
Zero (KB) Amount of memory that is all zero.
Key: mem|zero_average
Zipped (KB) Latest zipped memory in kilobytes.
Key: mem|zipped_latest
Swap In (KB) Amount of memory swapped in kilobytes.
Key: mem|swapin_average
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Metric Name Description
Swap Out (KB) Amount of memory swapped out in kilobytes.
Key: mem|swapout_average
Swap Used (KB) Amount of memory used for swap space in kilobytes.
Key: mem|swapused_average
Guest Configured Memory (KB) Guest configured memory in kilobytes.
Key: mem|guest_provisioned
Summary Metrics for Resource Pools
Summary metrics provide information about overall performance.
Metric Name Description
Number of Running VMs Number of running virtual machines.
Key: summary|number_running_vms
Number of VMs Total number of virtual machines.
Key: summary|total_number_vms
IO Wait (ms) IO wait time in milliseconds.
Key: summary|iowait
Data Center Metrics
vRealize Operations Manager collects CPU usage, disk, memory, network, storage, disk space, and
summary metrics for data center objects.
Data center metrics include capacity and badge metrics. See definitions in:
n
Capacity and Project-Based Metrics
n
Badge Metrics
CPU Usage Metrics for Data Centers
CPU usage metrics provide information about CPU use.
Metric Name Description
Capacity Usage (%) Percent capacity used.
Key: cpu|capacity_usagepct_average
CPU Contention (%) CPU capacity contention.
Key: cpu|capacity_contentionPct
Demand (%) CPU demand percentage.
Key: cpu|demandPct
Demand Demand in megahertz.
Key: cpu|demandmhz
Demand (MHz) CPU Demand.
Key: cpu|demand_average
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Metric Name Description
Overhead (KB) Amount of CPU overhead.
Key: cpu|overhead_average
Demand without overhead Value of demand excluding any overhead.
Key: cpu|demand_without_overhead
Total Wait CPU time spent on idle state.
Key: cpu|wait
Number of CPU Sockets Number of CPU sockets.
Key: cpu|numpackages
Overall CPU Contention (ms) Overall CPU contention in milliseconds.
Key: cpu|capacity_contention
Host Provisioned Capacity (MHz) Host provisioned capacity in megahertz.
Key: cpu|capacity_provisioned
Provisioned vCPU(s) Provisioned vCPU(s).
Key: cpu|corecount_provisioned
Reserved Capacity (MHz) The sum of the reservation properties of the (immediate) children of
the host's root resource pool.
Key: cpu|reservedCapacity_average
Usage Average CPU usage in megahertz.
Key: cpu|usagemhz_average
IO Wait IO wait time in milliseconds.
Key: cpu|iowait
Provisioned Capacity Provisioned Capacity.
Key: cpu|vm_capacity_provisioned
Stress Balance Factor Stress Balance Factor.
Key: cpu|stress_balance_factor
Lowest Provider Capacity Remaining Lowest Provider Capacity Remaining.
Key: cpu|min_host_capacity_remaining
Workload Balance Factor Workload Balance Factor.
Key: cpu|workload_balance_factor
Highest Provider Workload Highest Provider Workload.
Key: cpu|max_host_workload
Host workload Max-Min Disparity Difference of Max and Min host workload in the container.
Key: cpu|host_workload_disparity
Host stress Max-Min Disparity Difference of Max and Min host stress in the container.
Key: cpu|host_stress_disparity
Disk Metrics for Data Centers
Disk metrics provide information about disk use.
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Metric Name Description
Total IOPS Average number of commands issued per second during the
collection interval.
Key: disk|commandsAveraged_average
Total 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 Latency and Physical Device Latency metrics.
Key: disk|totalLatency_average
Total Throughput (KBps) Average of the sum of the data read and written for all of the disk
instances of the host or virtual machine.
Key: disk|usage_average
Total queued outstanding operations Sum of queued operations and outstanding operations.
Key: disk|sum_queued_oio
Max observed OIO Max observed IO for a disk.
Key: disk|max_observed
Memory Metrics for Data Centers
Memory metrics provide information about memory use and allocation.
Metric Name Description
Contention (%) Machine Contention Percentage.
Key: mem|host_contentionPct
Machine Demand (KB) Memory machine demand in kilobytes.
Key: mem|host_demand
ESX System Usage Memory usage by the VM kernel and ESX user-level services.
Key: mem|host_systemUsage
Provisioned Memory (KB) Provisioned host memory in kilobytes.
Key: mem|host_provisioned
Reserved Capacity (KB) Reserved memory capacity in kilobytes.
Key: mem|reservedCapacity_average
Usable Memory (KB) Usable host memory in kilobytes.
Key: mem|host_usable
Host Usage Host memory use in kilobytes.
Key: mem|host_usage
Usage/Usable (%) Percent host memory used.
Key: mem|host_usagePct
VM Overhead Memory overhead reported by host.
Key: mem|overhead_average
Stress Balance Factor Stress Balance Factor.
Key: mem|stress_balance_factor
Lowest Provider Capacity Remaining Lowest Provider Capacity Remaining.
Key: mem|min_host_capacity_remaining
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Metric Name Description
Workload Balance Factor Workload Balance Factor.
Key: mem|workload_balance_factor
Highest Provider Workload Highest Provider Workload.
Key: mem|max_host_workload
Host workload Max-Min Disparity Difference of Max and Min host workload in the container.
Key: mem|host_workload_disparity
Host stress Max-Min Disparity Difference of Max and Min host stress in the container.
Key: mem|host_stress_disparity
Network Metrics for Data Centers
Network metrics provide information about network performance.
Metric Name Description
Packets Dropped Percentage of packets dropped.
Key: net|droppedPct
Max Observed Throughput Max observed rate of network throughput.
Key: net|maxObservedKBps
Max Observed Transmitted Throughput Max observed transmitted rate of network throughput.
Key: net|maxObserved_Tx_KBps
Max Observed Received Throughput Max observed received rate of network throughput.
Key: net|maxObserved_Rx_KBps
Data Transmit Rate Average amount of data transmitted per second.
Key: net|transmitted_average
Data Receive Rate Average amount of data received per second.
Key: net|received_average
Total Throughput (KBps) The sum of the data transmitted and received for all the NIC
instances of the host or virtual machine.
Key: net|usage_average
Storage Metrics for Data Centers
Storage metrics provide information about storage use.
Metric Name Description
Total Usage Total throughput rate.
Key: storage|usage_average
Datastore Metrics for Data Centers
Datastore metrics provide information about Datastore use.
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Metric Name Description
Outstanding IO requests OIO for datastore.
Key: datastore|demand_oio
Read IOPS Average number of read commands issued per second during
the collection interval.
Key: datastore|numberReadAveraged_average
Write IOPS Average number of write commands issued per second during
the collection interval.
Key: datastore|numberWriteAveraged_average
Read Throughput (KBps) Amount of data read in the performance interval.
Key: datastore|read_average
Write Throughput (KBps) Amount of data written to disk in the performance interval.
Key: datastore|write_average
Disk Space Metrics for Data Centers
Disk space metrics provide information about disk use.
Metric Name Description
Virtual machine used Used virtual machine disk space in gigabytes.
Key: diskspace|used
Total disk space used Total disk space used on all datastores visible to this object.
Key: diskspace|total_usage
Total disk space Total disk space on all datastores visible to this object.
Key: diskspace|total_capacity
Total provisioned disk space Total provisioned disk space on all datastores visible to this
object.
Key: diskspace|total_provisioned
Not Shared (GB) Unshared disk space in gigabytes.
Key: diskspace|notshared
Shared Used (GB) Shared disk space in gigabytes.
Key: diskspace|shared
Snapshot Space (GB) Snapshot disk space in gigabytes.
Key: diskspace|snapshot
Virtual Disk Used (GB) Used virtual disk space in gigabytes.
Key: diskspace|diskused
Number of Virtual Disks Number of Virtual Disks.
Key: diskspace|numvmdisk
Summary Metrics for Data Centers
Summary metrics provide information about overall performance.
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Metric Name Description
Number of Running Hosts Number of hosts that are ON.
Key: summary|number_running_hosts
Number of Running VMs Number of running virtual machines.
Key: summary|number_running_vms
Maximum Number of VMs Maximum number of virtual machines.
Key: summary|max_number_vms
Number of Clusters Total number of clusters.
Key: summary|total_number_clusters
Number of Hosts Total number of hosts.
Key: summary|total_number_hosts
Number of VMs Total number of virtual machines.
Key: summary|total_number_vms
Total Number of Datastores Total number of datastores.
Key: summary|total_number_datastores
Number of VCPUs on Powered On VMs Total number of VCPUs of virtual machines that are powered on.
Key: summary|number_running_vcpus
Workload Indicator Workload indicator.
Key: summary|workload_indicator
Average Running VM Count per Running Host Average number of running virtual machines per running host.
Key: summary|avg_vm_density
Disabled Metrics
The following metrics are disabled in this version of vRealize Operations Manager. This means that they
do not collect data by default.
You can enable these metrics in the Policy workspace. For more information, in VMware Docs search for
Collect Metrics and Properties Details.
Metric Name Key
Datastore I/O|Max Observed Number of Outstanding IO
Operations (IOPS)
Datastore I/O|Max Observed Read Rate (KBps) datastore|maxObserved_Read
Datastore I/O|Max Observed Reads per second (IOPS) datastore|maxObserved_NumberRead
Datastore I/O|Max Observed Write Rate (KBps) datastore|maxObserved_Write
Datastore I/O|Max Observed Writes per second (IOPS)0 datastore|maxObserved_NumberWrite
datastore|maxObserved_OIO
Custom Data Center Metrics
vRealize Operations Manager collects CPU usage, memory, summary, network, and datastore metrics for
custom data center objects.
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Custom data center metrics include capacity and badge metrics. See definitions in:
n
Capacity and Project-Based Metrics
n
Badge Metrics
CPU Usage Metrics for Custom Data Centers
CPU usage metrics provide information about CPU use.
Metric Name Description
Host Provisioned Capacity Host provisioned capacity (MHz).
Key: cpu|capacity_provisioned
Provisioned vCPU(s) Provisioned vCPU(s).
Key: cpu|corecount_provisioned
Demand without overhead Value of demand excluding any overhead.
Key: cpu|demand_without_overhead
Number of hosts stressed Number of hosts stressed.
Key: cpu|num_hosts_stressed
Stress Balance Factor Stress balance factor.
Key: cpu|stress_balance_factor
Lowest Provider Capacity Remaining Lowest provider capacity remaining.
Key: cpu|min_host_capacity_remaining
Workload Balance Factor Workload balance factor.
Key: cpu|workload_balance_factor
Highest Provider Workload Highest provider workload.
Key: cpu|max_host_workload
Host workload Max-Min Disparity Host workload max-min disparity.
Key: cpu|host_workload_disparity
Host stress Max-Min Disparity Difference of max and min host stress in the container.
Key: cpu|host_stress_disparity
Memory Metrics for Custom Data Centers
Memory metrics provide information about memory use.
Metric Name Description
Usable Memory Usable memory.
Key: mem|host_usable
Machine Demand Memory machine demand in KB.
Key: mem|host_demand
Number of hosts stressed Number of hosts stressed.
Key: mem|num_hosts_stressed
Stress Balance Factor Stress balance factor.
Key: mem|stress_balance_factor
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Metric Name Description
Lowest Provider Capacity Remaining Lowest provider capacity remaining.
Key: mem|min_host_capacity_remaining
Workload Balance Factor Workload balance factor.
Key: mem|workload_balance_factor
Highest Provider Workload Highest provider workload.
Key: mem|max_host_workload
Host workload Max-Min Disparity Host workload max-min disparity.
Key: mem|host_workload_disparity
Host stress max-min disparity Host stress max-min disparity.
Key: mem|host_stress_disparity
Summary Metrics for Custom Data Centers
Summary metrics provide information about overall performance.
Metric Name Description
Number of Running VMs Number of virtual machines that are ON.
Key: summary|number_running_vms
Maximum Number of VMs Maximum number of virtual machines.
Key: summary|max_number_vms
Status Status of the data center.
Key: summary|status
Network Metrics for Custom Data Centers
Network metrics provide information about network performance.
Metric Name Description
Usage Rate The sum of the data transmitted and received for all the NIC
instances of the host or virtual machine.
Key: net|usage_average
Max Observed Throughput Max observed rate of network throughput.
Key: net|maxObserved_KBps
Max Observed Transmitted Throughput Max observed transmitted rate of network throughput.
Key: net|maxObserved_Tx_KBps
Max Observed Received Throughput Max observed received rate of network throughput.
Key: net|maxObserved_Rx_KBps
Data Transmit Rate Average amount of data transmitted per second.
Key: net|transmitted_average
Data REceive Rate Average amount of data received per second.
Key: net|received_average
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Datastore Metrics for Custom Data Centers
Datastore metrics provide information about datastore use.
Metric Name Description
Max Observed Reads per second Max observed average number of read commands issued per
second during the collection interval.
Key: datastore|maxObserved_NumberRead
Max Observed Read Rate Max observed rate of reading data from the datastore.
Key: datastore|maxObserved_Read
Max Observed Writes per second Max observed average number of write commands issued per
second during the collection interval.
Key: datastore|maxObserved_NumberWrite
Max Observed Write Rate Max observed rate of writing data from the datastore.
Key: datastore|maxObserved_Write
Max Observed Number of Outstanding IO Operations Max observer number of outstanding IO operations.
Key: datastore|maxObserved_OIO
Outstanding IO requests OIO for datastore.
Key: datastore|demand_oio
Read IOPS Average number of read commands issued per second during the
collection interval.
Key: datastore|numberReadAveraged_average
Write IOPS Average number of write commands issued per second during the
collection interval.
Key: datastore|numberWriteAveraged_average
Read Throughput (KBps) Amount of data read in the performance interval.
Key: datastore|read_average
Write Throughput (KBps) Amount of data written to disk in the performance interval.
Key: datastore|write_average
Storage Pod Metrics
vRealize Operations Manager collects datastore and disk space metrics for storage pod objects.
Storage Pod metrics include capacity and badge metrics. See definitions in:
n
Capacity and Project-Based Metrics
n
Badge Metrics
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Table 1‑2. Datastore Metrics for Storage Pods
Metric Name Description
Read IOPS Average number of read commands issued per second during the
collection interval.
Key: datastore|numberReadAveraged_average
Writes per second Average number of write commands issued per second during the
collection interval.
Key: datastore|numberWriteAveraged_average
Read Throughput (KBps) Amount of data read in the performance interval.
Key: datastore|read_average
Write Throughput (KBps) Amount of data written to disk in the performance interval.
Key: datastore|write_average
Total Throughput (KBps) Usage Average.
Key: datastore|usage_average
Read Latency Average amount of time for a read operation from the datastore. Total
latency = kernel latency + device latency.
Key: datastore|totalReadLatency_average
Write Latency Average amount of time for a write operation to the datastore. Total
latency = kernel latency + device latency.
Key: datastore|totalWriteLatency_average
Total 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
Total IOPS Average number of commands issued per second during the collection
interval.
Key: datastore|commandsAveraged_average
Table 1‑3. Disk Space Metrics for Storage Pods
Metric Name Description
Freespace Unused space available on datastore.
Key: diskspace|freespace
Total used Total space used.
Key: diskspace|disktotal
Capacity Total capacity of datastore.
Key: diskspace|capacity
Virtual Machine used Space used by virtual machine files.
Key: diskspace|used
Snapshot Space Space used by snapshots.
Key: diskspace|snapshot
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VMware Distributed Virtual Switch Metrics
vRealize Operations Manager collects network and summary metrics for VMware distributed virtual switch
objects.
VMware Distributed Virtual Switch metrics include capacity and badge metrics. See definitions in:
n
Capacity and Project-Based Metrics
n
Badge Metrics
Table 1‑4. Network Metrics for VMware Distributed Virtual Switches
Metric Name Description
Total Ingress Traffic Total ingress traffic (KBps).
Key: network|port_statistics|rx_bytes
Total Egress Traffic Total egress traffic (KBps).
Key: network|port_statistics|tx_bytes
Egress Unicast Packets per second Egress unicast packets per second.
Key: network|port_statistics|ucast_tx_pkts
Egress Multicast Packets per second Egress multicast packets per second.
Key: network|port_statistics|mcast_tx_pkts
Egress Broadcast Packets per second Egress broadcast packets per second.
Key: network|port_statistics|bcast_tx_pkts
Ingress Unicast Packets per second Ingress unicast packets per second.
Key: network|port_statistics|ucast_rx_pkts
Ingress Multicast Packets per second Ingress multicast packets per second.
Key: network|port_statistics|mcast_rx_pkts
Ingress Broadcast Packets per second Ingress broadcast packets per second.
Key: network|port_statistics|bcast_rx_pkts
Egress Dropped Packets per second Egress dropped packets per second.
Key: network|port_statistics|dropped_tx_pkts
Ingress Dropped Packets per second Ingress dropped packets per second.
Key: network|port_statistics|dropped_rx_pkts
Total Ingress Packets per second Total ingress packets per second.
Key: network|port_statistics|rx_pkts
Total Egress Packets per second Total egress packets per second.
Key: network|port_statistics|tx_pkts
Utilization Use (KBps).
Key: network|port_statistics|utilization
Total Dropped Packets per second Total dropped packets per second.
Key: network|port_statistics|dropped_pkts
Percentage of Dropped Packets Percentage of dropped packets.
Key: network|port_statistics|dropped_pkts_pct
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Table 1‑4. Network Metrics for VMware Distributed Virtual Switches (Continued)
Metric Name Description
Max Observed Ingress Traffic (KBps) Max observed ingress traffic (KBps).
Key: network|port_statistics|maxObserved_rx_bytes
Max Observed Egress Traffic (KBps) Max observed egress traffic (KBps).
Key: network|port_statistics|maxObserved_tx_bytes
Max Observed Utilization (KBps) Max observed utilization (KBps).
Key: network|port_statistics|maxObserved_utilization
Table 1‑5. Summary Metrics for VMware Distributed Virtual Switches
Metric Name Description
Maximum Number of Ports Maximum number of ports.
Key: summary|max_num_ports
Used Number of Ports Used number of ports.
Key: summary|used_num_ports
Number of Blocked Ports Number of blocked ports.
Key: summary|num_blocked_ports
Table 1‑6. Host Metrics for VMware Distributed Virtual Switches
Metric Name Description
MTU Mismatch Maximum Transmission Unit (MTU) mismatch.
Key: host|mtu_mismatch
Teaming Mismatch Teaming mismatch.
Key: host|teaming_mismatch
Unsupported MTU Unsupported MTU.
Key: host|mtu_unsupported
Unsupported VLANs Unsupported VLANs.
Key: host|vlans_unsupported
Config Out Of Sync Config Out Of Sync.
Key: host|config_outofsync
Number of Attached pNICs Number of attached physical NICs.
Key: host|attached_pnics
Distributed Virtual Port Group Metrics
The vCenter Adapter instance collects network and summary metrics for distributed virtual port groups.
Distributed Virtual Port Group metrics include capacity and badge metrics. See definitions in:
n
Capacity and Project-Based Metrics
n
Badge Metrics
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Table 1‑7. Network Metrics for Distributed Virtual Port Groups
Metric Name Description
Ingress Traffic Ingress traffic (KBps).
Key: network|port_statistics|rx_bytes
Egress Traffic Egress traffic (KBps).
Key: network|port_statistics|tx_bytes
Egress Unicast Packets per second Egress unicast packets per second.
Key: network|port_statistics|ucast_tx_pkts
Egress Multicast Packets per second Egress multicast packets per second.
Key: network|port_statistics|mcast_tx_pkts
Egress Broadcast Packets per second Egress broadcast packets per second.
Key: network|port_statistics|bcast_tx_pkts
Ingress Unicast Packets per second Ingress unicast packets per second.
Key: network|port_statistics|ucast_rx_pkts
Ingress Multicast Packets per second Ingress multicast packets per second.
Key: network|port_statistics|mcast_rx_pkts
Ingress Broadcast Packets per second Ingress broadcast packets per second.
Key: network|port_statistics|bcast_rx_pkts
Egress Dropped Packets per second Egress dropped packets per second.
Key: network|port_statistics|dropped_tx_pkts
Ingress Dropped Packets per second Ingress dropped packets per second.
Key: network|port_statistics|dropped_rx_pkts
Total Ingress Packets per second Total Ingress packets per second.
Key: network|port_statistics|rx_pkts
Total Egress Packets per second Total Egress packets per second.
Key: network|port_statistics|tx_pkts
Utilization Utilization (KBps).
Key: network|port_statistics|utilization
Total Dropped Packets per second Total dropped packets per second.
Key: network|port_statistics|dropped_pkts
Percentage of Dropped Packets Percentage of dropped packets.
Key: network|port_statistics|dropped_pkts_pct
Max Observed Ingress Traffic (KBps) Max observed ingress traffic (KBps).
Key: network|port_statistics|maxObserved_rx_bytes
Max Observed Egress Traffic (KBps) Max observed egress traffic (KBps).
Key: network|port_statistics|maxObserved_tx_bytes
Max Observed Utilization (KBps) Max observed utilization (KBps).
network|port_statistics|maxObserved_utilization
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Table 1‑8. Summary Metrics for Distributed Virtual Port Groups
Metric Name Description
Maximum Number of Ports Maximum number of ports.
Key: summary|max_num_ports
Used Number of Ports Used number of ports.
Key: summary|used_num_ports
Number of Blocked Ports The number of blocked ports.
Key: summary|num_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.
Capacity Metrics for Datastores
Capacity metrics provide information about datastore capacity.
Metric Name Description
Capacity|Available Space (GB) This metric shows the amount of free space that a datastore
has available.
Use this metric to know how much storage space is unused on
the datastore. Try to avoid having too little free disk space in
order to accommodate unexpected storage growth on the
datastore. The exact size of the datastore is based on
company policy.
Key: capacity|available_space
Capacity|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 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 virtual machines are now
onboard. Ensure that the size can handle enough virtual
machines to avoid datastore sprawl. A best practice 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
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Metric Name Description
Capacity|Workload (%) Capacity workload.
Key: capacity|workload
Capacity|Uncommitted Space (GB) Uncommitted space in gigabytes.
Key: capacity|uncommitted
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 might 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 Name 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 canceled 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|Total 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 Latency and Physical Device Latency metrics.
Key: devices|totalLatency_average
Devices|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|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
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Metric Name Description
Devices|Kernel 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 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
Devices|Physical Device 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 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 Throughput (KBps) Amount of data read in the performance interval.
Key: devices|read_average
Devices|Read Requests Number of times data was read from the disk in the defined
interval.
Key: devices|numberRead_summation
Devices|Read IOPS Average number of read commands issued per second to the
datastore during the collection interval.
Key: devices|numberReadAveraged_average
Devices|Total Throughput (KBps) Average use in kilobytes per second.
Key: devices|usage_average
Devices|Write Throughput (KBps) Amount of data written to disk in the performance interval.
Key: devices|write_average
Devices|Write Requests Number of times data was written to the disk in the defined
interval.
Key: devices|numberWrite_summation
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Metric Name Description
Devices|Total IOPS Average number of write commands issued per second to the
datastore during the collection interval.
Key: devices|numberWriteAveraged_average
Devices|Total IOPS 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.
Metric Name Description
Datastore|Total Latency (ms) This metric shows the adjusted read and write latency at the
datastore level. Adjusted means that the latency is taking into
account the number of IOs. If your IO is read-dominated, the
combined value is influenced by the reads.
This is the average of all the VMs running in the datastore.
Because it is an average, some VMs logically experience
higher latency that the value shown by this metric. To see the
worst latency experienced by any VM, use the Maximum VM
Disk Latency metric.
Use this metric to see the performance of the datastore. It is
one of two key performance indicators for a datastore, the
other being the Max Read Latency. The combination of
Maximum and Average gives better insight into how well the
datastore is coping with the demand.
The number should be lower than the performance you
expect.
Key: datastore|totalLatency_average
Datastore|Total Throughput (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|Outstanding IO requests OIO for datastore.
Key: datastore|demand_oio
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Metric Name Description
Datastore|Read 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.
See if the metric is read or write dominated. This helps
determine the cause of the high IOPS. Certain workloads such
as backups, anti-virus scans, and Windows updates carry a
Read/Write pattern. For example, an anti-virus scan is heavy
on read since it is mostly reading the file system.
Key: datastore|numberReadAveraged_average
Datastore|Write IOPS This metric displays the average number of write commands
issued per second during the collection interval.
Use this metric when the total IOPS is higher than expected.
Drill down to see if the metric is read or write dominated. This
helps determine the cause of the high IOPS. Certain
workloads such as backups, anti-virus scans, and Windows
updates carry a Read/Write pattern. For example, an anti-
virus scan is heavy on read since it is mostly reading the file
system.
Key: datastore|numberWriteAveraged_average
Datastore|Read Throughput (KBps) This metric displays the amount of data read in the
performance interval.
Key: datastore|read_average
Datastore|Write Throughput (KBps) This metric displays the amount of data written to disk in the
performance interval.
Key: datastore|write_average
About Datastore Metrics for Virtual SAN
The metric named datastore|oio|workload is not supported on Virtual SAN datastores. This metric
depends on datastore|demand_oio, which is supported for Virtual SAN datastores.
The metric named datastore|demand_oio also depends on several other metrics for Virtual SAN
datastores, one of which is not supported.
n
The metrics named devices|numberReadAveraged_average and devices|
numberWriteAveraged_average are supported.
n
The metric named devices|totalLatency_average is not supported.
As a result, vRealize Operations Manager does not collect the metric named datastore|oio|workload
for Virtual SAN datastores.
Disk Space Metrics for Datastores
Disk space metrics provide information about disk space use.
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Metric Name 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 when you have finished
backing up, or patching.
Key: diskspace|snapshot
Diskspace|Virtual Disk Used (GB) Virtual disk used space in gigabytes.
Key: diskspace|diskused
Diskspace|Virtual machine used (GB) Virtual machine used space in gigabytes.
Key: diskspace|used
Diskspace|Total disk space used Total disk space used on all datastores visible to this object.
Key: diskspace|total_usage
Diskspace|Total disk space Total disk space on all datastores visible to this object.
Key: diskspace|total_capacity
Diskspace|Total provisioned disk space Total provisioned disk space on all datastores visible to this
object.
Key: diskspace|total_provisioned
Diskspace|Total used (GB) Total used space in gigabytes.
Key: diskspace|disktotal
Diskspace|Swap File Space (GB) Swap file space in gigabytes.
Key: diskspace|swap
Diskspace|Other VM Space (GB) Other virtual machine space in gigabytes.
Key: diskspace|otherused
Diskspace|Freespace (GB) Unused space available on datastore.
Key: diskspace|freespace
Diskspace|Capacity (GB) Total capacity of datastore in gigabytes.
Key: diskspace|capacity
Diskspace|Overhead Amount of disk space that is overhead.
Key: diskspace|overhead
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Summary Metrics for Datastores
Summary metrics provide information about overall performance.
Metric Name Description
Summary|Number of Hosts This metric shows the number of hosts that the datastore is
connected to.
Use this metric to know how many clusters the datastore is
attached to.
The number should not be too high, as a datastore should not
be mounted by every host. The datastore and cluster should be
paired to keep operations simple.
Key: summary|total_number_hosts
Summary|Number of VMs This metric shows the number of virtual machines which save
their VMDK files on the datastore. If a VM has four VMDKs
stored in four datastores, the VM is counted on each datastore.
Use this metric to know how many VMs have at least one
VMDK on a specific datastore.
The number of VMs should be within your Concentration Risk
policy.
You should also expect the datastore to be well used. If only a
few VMs are using the datastore, this is not considered a good
use.
Key: summary|total_number_vms
Summary|Maximum Number of VMs Maximum number of virtual machines.
Key: summary|max_number_vms
Summary|Workload Indicator Workload indicator.
Key: summary|workload_indicator
Summary|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 Name Description
Template|Virtual Machine used Space used by virtual machine files.
Key: template|used
Template|Access Time Last access time.
Key: template|accessTime
Disabled Metrics
The following metrics are disabled in this version of vRealize Operations Manager. This means that they
do not collect data by default.
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You can enable these metrics in the Policy workspace. For more information, in VMware Docs search for
Collect Metrics and Properties Details.
Metric Name Key
Capacity|Data Store Capacity Contention (%) capacity|contention
Datastore I/O|Demand Indicator datastore|demand_indicator
Datastore I/O|Max Observed Number of Outstanding IO
Operations
Datastore I/O|Max Observed Read Latency (msec) datastore|maxObserved_Read
Datastore I/O|Max Observed Read Latency (msec) datastore|maxObserved_ReadLatency
Datastore I/O|Max Observed datastore|maxObserved_NumberRead
Datastore I/O|Max Observed Write Latency (msec) datastore|maxObserved_Write
Datastore I/O|Max Observed Write Latency (msec) datastore|maxObserved_WriteLatency
Datastore I/O|Max Observed Writes per second datastore|maxObserved_NumberWrite
datastore|maxObserved_OIO
Calculated Metrics
vRealize Operations Manager calculates metrics for capacity, badges, and the health of the system.
Calculated metrics apply to a subset of objects found in the describe.xml file that describes each
adapter.
From data that the vCenter adapter collects, vRealize Operations Manager calculates metrics for objects
of type:
n
vSphere World
n
Virtual Machine
n
Host System
n
Datastore
From data that the vRealize Operations Manager adapter collects, vRealize Operations Manager
calculates metrics for objects of type:
n
Node
n
Cluster
Capacity and Project-Based Metrics
The capacity engine computes and publishes metrics that help you to plan your resource use based on
consumer demand. Project-based metrics are a subset of capacity metrics that help to plan future
resource use based on predicted consumer demand.
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Capacity Metrics Group
For the capacity metrics group, full metric names include the name of the resource container. For
example, if density metrics are computed for CPU or memory, the actual metric names appear as cpu|
density or mem|density.
Only resource containers enabled for the capacity computations have relevant metrics. Not all metric
types are generated for all resource containers. For example, if CPU or memory resource containers are
enabled in a policy for density, but the network resource container is not, then cpu|density and mem|
density metrics are calculated but network|density metrics are not.
A capacity metric definition includes resource containers that act as a consumer or a provider. For
example in vSphere, the virtual machines are consumers of CPU and memory that the ESX host
provides.
Table 1‑9. Capacity Metrics Group
Metric Key Metric Name Generated for Description
capacityRemainingUsingConsumers_average Capacity
Remaining for
Average
Consumer
Profile
capacityRemainingUsingConsumers_small Capacity
Remaining for
Small Consumer
Profile
capacityRemainingUsingConsumers_medium Capacity
Remaining for
Medium
Consumer
Profile
capacityRemainingUsingConsumers_large Capacity
Remaining for
Large Consumer
Profile
capacityRemaining Capacity
Remaining (%)
Provider Number of average-size consumers that
can fit into the capacity remaining. An
average-size consumer demands 50% of
total capacity.
Provider Number of small-size consumers that
can fit into the capacity remaining. A
small-size consumer demands 0 - 33% of
the total capacity.
Provider Number of medium-size consumers that
can fit into the capacity remaining. A
medium-size consumer demands
33-66% of the total capacity.
Provider Number of large-size consumers that can
fit into the capacity remaining. A large-
size consumer demands 66-100% of the
total capacity.
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.
idletimepercent Idle time (%) Both Percent time a resource is idle based on
use over time. Time is a policy setting. If
not set, the default period is 30 days. For
example, if a resource is idle for a total of
6 days out of 30 days, idletimepercent =
20%.
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Table 1‑9. Capacity Metrics Group (Continued)
Metric Key Metric Name Generated for Description
wasteValue Reclaimable
Capacity
size.recommendation Recommended
Size
optimal.vConsumption.per.pConsumption Optimal
consumption
ratio
vConsumption.per.pConsumption Consumption
ratio
Both Amount of reclaimable capacity based on
consumer demand over time. Time is a
policy setting. If not set, the default
period is 30 days. For example, if a
vSphere host is configured with 10 GB of
memory but only 2 GB of memory is
used on average over 30 days, then
wasteValue = 8 GB.
Both Capacity recommendation based on
demand over time. Time is a policy
setting. If not set, the default period is 30
days. For example, if consumer demand
is 2 GB of memory on average over 30
days, then the capacity recommendation
is 2 GB.
Provider Ratio of ideal resource consumption to
provision based on consumer demand
over time. Ideal resource consumption is
when the current capacity satisfies
demand. Time is a policy setting. If not
set, the default period is 30 days.
Provider Ratio of current resource consumption to
provision based on consumer demand.
object.demand Stress Free
Demand
object.capacity Usable Capacity Both Total capacity minus buffers. Capacity
object.demand.percent Effective
Demand (%)
powered.on.consumer.count Number of
powered on
consumers
base.demand Computed
Demand
actual.capacity Current size Both Actual capacity without buffers
wastePercent Reclaimable
Capacity (%)
Both Demand based on peak analysis of raw
demand values.
buffer is a policy setting.
Both Percent capacity required by effective
demand.
Both Number of consumers that are using a
resource.
Both Demand for an object based on self or
consumer demand without the peak
consideration policy setting.
Both Percent of reclaimable capacity based on
consumer demand over time. Time is a
policy setting. If not set, the default
period is 30 days. For example, if a
vSphere host is configured with 10 GB of
memory but only 2 GB of memory is
used on average over 30 days, then
wastePercent = 80%.
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Object-level Metrics Group
Object-level metrics are calculated to track capacity use for all objects of a particular object type.
Table 1‑10. Object-level Metrics Group
Metric Key Metric Name Description
summary|timeRemaining Time Remaining Time remaining before usable capacity
runs out. Usable capacity excludes
capacity reserved for HA and buffers.
summary|isStress Is Stressed Value equals 1 or a yellow badge indicates
that an object is stressed. Value equals 0
or a green badge indicates that the object
is not stressed. For a stress badge defined
in a policy, when the stress exceeds the
lowest threshold, the badge color changes
from green to yellow.
summary|capacityRemainingValue Capacity Remaining
Value
summary|oversized Is Oversized Indicates if an object has too much
summary|idle Is Idle Indicates if an object is idle (value of 1) or
summary|poweredOff Powered Off Indicates power state of an object. Value
summary|capacityRemainingUsingConsumers_average Capacity Remaining
(Average consumer
profile)
summary|capacityRemainingUsingConsumers_small Capacity Remaining
(Small consumer profile)
summary|capacityRemainingUsingConsumers_medium Capacity Remaining
(Medium consumer
profile)
summary|capacityRemainingUsingConsumers_large Capacity Remaining
(Large consumer profile)
summary|capacityRemaining_min Capacity Remaining
(Based on instantaneous
peak)
Capacity remaining.
capacity configured, value of 1, or not,
value of 0.
not (value of 0).
of 1 means ON and value of 0 means
OFF.
Capacity remaining based on average
consumer demand.
Capacity remaining based on small
consumer demand.
Capacity remaining based on medium
consumer demand.
Capacity remaining based on large
consumer demand.
Capacity remaining based on peak
demand or stress.
summary|capacity.provider.count Number of Capacity
providers
summary|consumer.count Number of Capacity
consumers
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Number of capacity providers.
Number of capacity consumers.
vRealize Operations Definitions for Metrics, Properties, and Alerts
Table 1‑10. Object-level Metrics Group (Continued)
Metric Key Metric Name Description
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.
Project-Based Metrics
Project-based metrics are calculated for a change in resources or demand that could affect capacity at
some time in the future. See vRealize Operations Manager User Guide. Most metrics appear
with_whatif appended to the capacity metric name. For example, the what-if applicable metric for
capacity remaining is published as capacityRemaining_whatif.
Badge Metrics
Badge metrics provide information for badges in the user interface. They report the health, risk, and
efficiency of objects in your environment.
vRealize Operations Manager 6.x analyzes badge metric data at five-minute averages, instead of hourly.
As a result, you might find that efficiency and risk badge calculations are more sensitive than in previous
versions. Badge metrics continue to be published nightly.
Table 1‑11. Badge Metrics
Metric Name Description
Badge|Compliance Overall score for compliance, on a scale of 100. This metric is used in the
Compliance tab of the Analysis tab.
Badge|Efficiency Overall score for efficiency. The final score is between 1-100. Where Green
- 100, Yellow - 75, Orange - 50, Red - 25, Unknown: -1. The score is
derived from the criticality of alerts in the Efficiency category.
Badge|Health Overall score for health. The final score is between 1-100. Where Green -
100, Yellow - 75, Orange - 50, Red - 25, Unknown: -1. The score is derived
from the criticality of alerts in the Health category.
Badge|Risk Overall score for risk. The final score is between 1-100. Where Green - 0,
Yellow - 25, Orange - 50, Red - 75, Unknown: -1. The score is derived from
the criticality of alerts in the Risk category.
Badge|Workload Overall score of workload, on a scale of 100. The Stress widget requires
this metric.
System Metrics
System metrics provide information used to monitor the health of the system. They help you to identify
problems in your environment.
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Table 1‑12. System Metrics
Metric Name Description
vRealize Operations Generated|Self - Health Score This metric displays the system health score of self resource.
The value ranges from 0 to 100 depending on noise and the
number of alarms.
Key: System Attributes|health
vRealize Operations Generated|Self - Metric Count This metric displays the number of metrics that the adapter
generates for the given object. This value does not include the
number of metrics generated by vRealize Operations Manager,
such as, Badge metrics, vRealize Operations Generated metrics
and metrics generated by Capacity Engine
Key: System Attributes|all_metrics
vRealize Operations Generated|Total Anomalies This metric displays the number of active anomalies (symptoms,
events, DT violations) on the object and its children.
In previous versions of vRealize Operations Manager, this metric
used to be named vRealize Operations Generated| Self - Total
Anomalies.
Key: System Attributes|total_alarms
vRealize Operations Generated|Full Set - Metric Count This metric displays the number of metrics that the adapter of
the children of the given object generates.
Key: System Attributes|child_all_metrics
vRealize Operations Generated|Availability This metric value is computed based on the adapter instance
statuses monitoring the resource. Resource availability is
displayed as 0-down, 1-Up, -1-Unknown.
Key: System Attributes|availability
vRealize Operations Generated|Alert Count Critical This metric displays the number of critical alerts on the object
and its children.
Key: System Attributes|alert_count_critical
vRealize Operations Generated|Alert Count Immediate This metric displays the number of immediate alerts on the
object and its children.
Key: System Attributes|alert_count_immediate
vRealize Operations Generated|Alert Count Warning This metric displays the number of active warning alerts on the
object and its children.
Key: System Attributes|alert_count_warning
vRealize Operations Generated|Alert Count Info This metric displays the number of active info alerts on the
object and its children.
Key: System Attributes|alert_count_info
vRealize Operations Generated|Total Alert Count This metric displays the sum of all alert count metrics.
In previous versions of vRealize Operations Manager, this metric
was named vRealize Operations Generated|Full Set - Alert
Count.
Key: System Attributes|total_alert_count
vRealize Operations Generated|Self-Alert Count This metric displays the number of all alerts on the object.
Key: System Attributes|self_alert_count
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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 1‑13. 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
CurrentHeapSize Current heap size Current heap size.
MaxHeapSize Max heap size Max heap size
CommittedMemory Committed memory Committed memory
Number of locally stored primary
entries in alternative forward data
region.
CPUUsage CPU usage CPU usage
Threads Threads Threads
UpStatus Threads Threads
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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 1‑14. 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
CheckThresholdAndHealth|Duration|
AvgDuration
CheckThresholdAndHealth|Duration|MinDuration Minimum Minimum duration (ms)
CheckThresholdAndHealth|Duration|
MaxDuration
CheckThresholdAndHealth|
OutcomeObservationsSize|TotalCount
CheckThresholdAndHealth|
OutcomeObservationsSize|AvgCount
CheckThresholdAndHealth|
OutcomeObservationsSize|MinCount
CheckThresholdAndHealth|
OutcomeObservationsSize|MaxCount
SuperMetricComputation|Count Count Count
Total Total length of duration (ms)
Average Average duration (ms)
Maximum Maximum duration (ms)
Total Total
Average Average
Minimal Minimal
Maximal Maximal
SuperMetricComputation|Duration|TotalDuration Total Total length of duration (ms)
SuperMetricComputation|Duration|AvgDuration Average Average duration (ms)
SuperMetricComputation|Duration|MinDuration Minimum Minimum duration (ms)
SuperMetricComputation|Duration|MaxDuration Maximum Maximum duration (ms)
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Table 1‑14. Overall Threshold Checking Metrics for the Analytics Service (Continued)
Metric Key Metric Name Description
SuperMetricComputation|SuperMetricsCount|
TotalCount
SuperMetricComputation|SuperMetricsCount |
AvgCount
SuperMetricComputation|SuperMetricsCount |
MinCount
SuperMetricComputation|SuperMetricsCount |
MaxCount
StoreObservationToFSDB|Count Count Count
StoreObservationToFSDB|Duration|
TotalDuration
StoreObservationToFSDB|Duration|AvgDuration Average Average duration (ms)
StoreObservationToFSDB|Duration|MinDuration Minimum Minimum duration (ms)
StoreObservationToFSDB|Duration|MaxDuration Maximum Maximum duration (ms)
StoreObservationToFSDB|
StoredObservationsSize|TotalCount
StoreObservationToFSDB|
StoredObservationsSize|AvgCount
StoreObservationToFSDB|
StoredObservationsSize|MinCount
Total Total
Average Average
Minimal Minimal
Maximal Maximal
Total Total length of duration (ms)
Total Total
Average Average
Minimal Minimal
StoreObservationToFSDB|
StoredObservationsSize|MaxCount
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
UpdateResourceCache|
ModifcationEstimateCount|AvgCount
UpdateResourceCache|
ModifcationEstimateCount|MinCount
UpdateResourceCache|
ModifcationEstimateCount|MaxCount
ManageAlerts|Count Count The total number of times the
Maximal Maximal
Total The number of estimated
modifications done during each
resource cache object update.
Average Average
Minimal Minimal
Maximal Maximal
threshold checking work items
perform alert updates.
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Table 1‑14. 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 1‑15. 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
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Table 1‑15. Dynamic Threshold Calculation Metrics for the Analytics Service (Continued)
Metric Key Metric Name Description
DtAnalyze|AnalyzedMetricsCount|MinCount Minimal Minimal
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 1‑16. 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 1‑17. 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
SentFDCount Number of sent objects Number of sent objects
SentFDAltCount Number of alternative sent objects Number of alternative sent objects
Number of rejected alternative forward
data
CurrentHeapSize Current heap size (MB) Current heap size.
MaxHeapsize Max heap size (MB) Maximum heap size.
CommittedMemory Committed memory (MB) Amount of committed memory.
CPUUsage CPU usage CPU usage.
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Table 1‑17. Collector Metrics (Continued)
Metric Key Metric Name Description
Threads Threads Number of threads.
UpStatus Up Status Up Status
Controller Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager Controller objects.
Table 1‑18. Controller Metrics
Metric Key Metric Name Description
RequestedMetricCount Number of requested metrics Number of requested metrics
ApiCallsCount Number of API calls Number of API calls
NewDiscoveredResourcesCount Number of discovered objects Number of discovered objects
FSDB Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager file system database
(FSDB) objects.
Table 1‑19. 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 1‑20. 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
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Table 1‑20. Storage Thread Pool Metrics for FSDB (Continued)
Metric Key Metric Name Description
StorageThreadPool|SavedMetricsCount|
MinCount
StorageThreadPool|SavedMetricsCount|
MaxCount
Minimal Minimal
Maximal Maximal
Product UI Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager product user
interface objects.
Table 1‑21. Product UI Metrics
Metric Key Metric Name Description
ActiveSessionsCount Active sessions Active sessions
CurrentHeapSize Current heap size Current heap size.
MaxHeapsize Max heap size Maximum heap size.
CommittedMemory Committed memory Amount of committed memory.
CPUUsage CPU usage Percent CPU use.
Threads Threads Number of threads.
SessionCount Number of active sessions Number of active sessions
SelfMonitoringQueueSize Self Monitoring queue size Self Monitoring queue size
Table 1‑22. 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)
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Table 1‑22. API Call Metrics for the Product UI (Continued)
Metric Key Metric Name Description
APICalls|MetricChartRequestCount Metric Chart request count Metric Chart request count
APICalls|AvgMetricChartRequestTime Average MetricChart request time Average MetricChart request time (ms)
Admin UI Metrics
vRealize Operations Manager collects metrics for the vRealize Operations Manager administration user
interface objects.
Table 1‑23. Admin UI Metrics
Metric Key Metric Name Description
CurrentHeapSize Current heap size Current heap size (MB).
MaxHeapsize Max heap size Maximum heap size (MB).
CommittedMemory Committed memory Amount of committed memory (MB) .
CPUUsage CPU usage CPU usage (%).
Threads Threads Number of threads.
SessionCount Number of active sessions Number of active sessions
SelfMonitoringQueueSize Self Monitoring queue size Self Monitoring queue size
Table 1‑24. 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 1‑25. Suite API Metrics
Metric Key Metric Name Description
UsersCount Number of users Number of users
ActiveSessionsCount Active sessions Active sessions
GemfireClientReconnects Gemfire Client Reconnects Gemfire Client Reconnects
GemfireClientCurrentCalls Gemfire Client Total Outstanding Gemfire Client Total Outstanding
CurrentHeapSize Current heap size Current heap size (MB) .
MaxHeapsize Max heap size Maximum heap size (MB) .
CommittedMemory Committed memory Amount of committed memory (MB).
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Table 1‑25. Suite API Metrics (Continued)
Metric Key Metric Name Description
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 1‑26. Gemfire Client Call Metrics for the Suite API
Metric Key Metric Name Description
GemfireClientCalls|TotalRequests Total Requests Total Requests
GemfireClientCalls|AvgResponseTime Average Response Time Average Response Time (ms)
GemfireClientCalls|MinResponseTime Minimum Response Time Minimum Response Time (ms)
GemfireClientCalls|MaxResponseTime Maximum Response Time Maximum Response Time
GemfireClientCalls|RequestsPerSecond Requests per Second Requests per Second
GemfireClientCalls|CurrentRequests Current Requests Current Requests
GemfireClientCalls|RequestsCount Requests Count Requests Count
GemfireClientCalls|ResponsesCount Responses Count Responses Count
Table 1‑27. 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.
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Table 1‑28. Cluster and Slice Administration Metrics
Metric Key Metric Name Description
CurrentHeapSize Current heap size Current heap size (MB).
MaxHeapsize Max heap size Maximum heap size (MB).
CommittedMemory Committed memory Amount of committed memory (MB).
CPUUsage CPU usage CPU usage (%)
Threads Threads Number of threads.
Table 1‑29. 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)
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 1‑30. Watchdog Metrics
Metric Key Metric Name Description
ServiceCount Service Count Service Count
Service Metrics
Service metrics provide information about watchdog activity.
Table 1‑31. 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.
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Table 1‑31. Metrics for the vRealize Operations Manager Watchdog Service (Continued)
Metric Key Metric Name Description
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.
Table 1‑32. 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
PercentDBStorageAvailable Percent disk available /storage/db Percent disk available /storage/db
PercentLogStorageAvailable Percent disk available /storage/log Percent disk available /storage/log
Table 1‑33. 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 1‑34. 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
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