telegraf/plugins/inputs/vsphere

VMware vSphere Input Plugin

The VMware vSphere plugin uses the vSphere API to gather metrics from multiple vCenter servers.

• Clusters
• Hosts
• VMs
• Datastores

Supported versions of vSphere

This plugin supports vSphere version 5.5 through 6.7.

Configuration

NOTE: To disable collection of a specific resource type, simply exclude all metrics using the XX_metric_exclude. For example, to disable collection of VMs, add this:

vm_metric_exclude = [ "*" ]

# Read metrics from one or many vCenters
[[inputs.vsphere]]
    ## List of vCenter URLs to be monitored. These three lines must be uncommented
  ## and edited for the plugin to work.
  vcenters = [ "https://vcenter.local/sdk" ]
  username = "user@corp.local"
  password = "secret"

  ## VMs
  ## Typical VM metrics (if omitted or empty, all metrics are collected)
  # vm_include = [ "/*/vm/**"] # Inventory path to VMs to collect (by default all are collected)
  # vm_exclude = [] # Inventory paths to exclude
  vm_metric_include = [
    "cpu.demand.average",
    "cpu.idle.summation",
    "cpu.latency.average",
    "cpu.readiness.average",
    "cpu.ready.summation",
    "cpu.run.summation",
    "cpu.usagemhz.average",
    "cpu.used.summation",
    "cpu.wait.summation",
    "mem.active.average",
    "mem.granted.average",
    "mem.latency.average",
    "mem.swapin.average",
    "mem.swapinRate.average",
    "mem.swapout.average",
    "mem.swapoutRate.average",
    "mem.usage.average",
    "mem.vmmemctl.average",
    "net.bytesRx.average",
    "net.bytesTx.average",
    "net.droppedRx.summation",
    "net.droppedTx.summation",
    "net.usage.average",
    "power.power.average",
    "virtualDisk.numberReadAveraged.average",
    "virtualDisk.numberWriteAveraged.average",
    "virtualDisk.read.average",
    "virtualDisk.readOIO.latest",
    "virtualDisk.throughput.usage.average",
    "virtualDisk.totalReadLatency.average",
    "virtualDisk.totalWriteLatency.average",
    "virtualDisk.write.average",
    "virtualDisk.writeOIO.latest",
    "sys.uptime.latest",
  ]
  # vm_metric_exclude = [] ## Nothing is excluded by default
  # vm_instances = true ## true by default

  ## Hosts
  ## Typical host metrics (if omitted or empty, all metrics are collected)
  # host_include = [ "/*/host/**"] # Inventory path to hosts to collect (by default all are collected)
  # host_exclude [] # Inventory paths to exclude
  host_metric_include = [
    "cpu.coreUtilization.average",
    "cpu.costop.summation",
    "cpu.demand.average",
    "cpu.idle.summation",
    "cpu.latency.average",
    "cpu.readiness.average",
    "cpu.ready.summation",
    "cpu.swapwait.summation",
    "cpu.usage.average",
    "cpu.usagemhz.average",
    "cpu.used.summation",
    "cpu.utilization.average",
    "cpu.wait.summation",
    "disk.deviceReadLatency.average",
    "disk.deviceWriteLatency.average",
    "disk.kernelReadLatency.average",
    "disk.kernelWriteLatency.average",
    "disk.numberReadAveraged.average",
    "disk.numberWriteAveraged.average",
    "disk.read.average",
    "disk.totalReadLatency.average",
    "disk.totalWriteLatency.average",
    "disk.write.average",
    "mem.active.average",
    "mem.latency.average",
    "mem.state.latest",
    "mem.swapin.average",
    "mem.swapinRate.average",
    "mem.swapout.average",
    "mem.swapoutRate.average",
    "mem.totalCapacity.average",
    "mem.usage.average",
    "mem.vmmemctl.average",
    "net.bytesRx.average",
    "net.bytesTx.average",
    "net.droppedRx.summation",
    "net.droppedTx.summation",
    "net.errorsRx.summation",
    "net.errorsTx.summation",
    "net.usage.average",
    "power.power.average",
    "storageAdapter.numberReadAveraged.average",
    "storageAdapter.numberWriteAveraged.average",
    "storageAdapter.read.average",
    "storageAdapter.write.average",
    "sys.uptime.latest",
  ]
    ## Collect IP addresses? Valid values are "ipv4" and "ipv6"
  # ip_addresses = ["ipv6", "ipv4" ]
  
  # host_metric_exclude = [] ## Nothing excluded by default
  # host_instances = true ## true by default


  ## Clusters
  # cluster_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected)
  # cluster_exclude = [] # Inventory paths to exclude
  # cluster_metric_include = [] ## if omitted or empty, all metrics are collected
  # cluster_metric_exclude = [] ## Nothing excluded by default
  # cluster_instances = false ## false by default

  ## Datastores
  # cluster_include = [ "/*/datastore/**"] # Inventory path to datastores to collect (by default all are collected)
  # cluster_exclude = [] # Inventory paths to exclude
  # datastore_metric_include = [] ## if omitted or empty, all metrics are collected
  # datastore_metric_exclude = [] ## Nothing excluded by default
  # datastore_instances = false ## false by default

  ## Datacenters
  # datacenter_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected)
  # datacenter_exclude = [] # Inventory paths to exclude
  datacenter_metric_include = [] ## if omitted or empty, all metrics are collected
  datacenter_metric_exclude = [ "*" ] ## Datacenters are not collected by default.
  # datacenter_instances = false ## false by default

  ## Plugin Settings
  ## separator character to use for measurement and field names (default: "_")
  # separator = "_"

  ## number of objects to retreive per query for realtime resources (vms and hosts)
  ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
  # max_query_objects = 256

  ## number of metrics to retreive per query for non-realtime resources (clusters and datastores)
  ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
  # max_query_metrics = 256

  ## number of go routines to use for collection and discovery of objects and metrics
  # collect_concurrency = 1
  # discover_concurrency = 1

  ## whether or not to force discovery of new objects on initial gather call before collecting metrics
  ## when true for large environments this may cause errors for time elapsed while collecting metrics
  ## when false (default) the first collection cycle may result in no or limited metrics while objects are discovered
  # force_discover_on_init = false

  ## the interval before (re)discovering objects subject to metrics collection (default: 300s)
  # object_discovery_interval = "300s"

  ## timeout applies to any of the api request made to vcenter
  # timeout = "60s"

  ## When set to true, all samples are sent as integers. This makes the output
  ## data types backwards compatible with Telegraf 1.9 or lower. Normally all
  ## samples from vCenter, with the exception of percentages, are integer
  ## values, but under some conditions, some averaging takes place internally in
  ## the plugin. Setting this flag to "false" will send values as floats to
  ## preserve the full precision when averaging takes place.
  # use_int_samples = true
  
  ## Custom attributes from vCenter can be very useful for queries in order to slice the
  ## metrics along different dimension and for forming ad-hoc relationships. They are disabled
  ## by default, since they can add a considerable amount of tags to the resulting metrics. To
  ## enable, simply set custom_attribute_exlude to [] (empty set) and use custom_attribute_include
  ## to select the attributes you want to include. 
  # by default, since they can add a considerable amount of tags to the resulting metrics. To
  # enable, simply set custom_attribute_exlude to [] (empty set) and use custom_attribute_include
  # to select the attributes you want to include. 
  # custom_attribute_include = []
  # custom_attribute_exclude = ["*"] # Default is to exclude everything

  ## Optional SSL Config
  # ssl_ca = "/path/to/cafile"
  # ssl_cert = "/path/to/certfile"
  # ssl_key = "/path/to/keyfile"
  ## Use SSL but skip chain & host verification
  # insecure_skip_verify = false

Objects and Metrics Per Query

By default, in vCenter's configuration a limit is set to the number of entities that are included in a performance chart query. Default settings for vCenter 6.5 and above is 256. Prior versions of vCenter have this set to 64. A vCenter administrator can change this setting, see this VMware KB article for more information.

Any modification should be reflected in this plugin by modifying the parameter max_query_objects

  ## number of objects to retreive per query for realtime resources (vms and hosts)
  ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
  # max_query_objects = 256

Collection and Discovery concurrency

On large vCenter setups it may be prudent to have multiple concurrent go routines collect performance metrics in order to avoid potential errors for time elapsed during a collection cycle. This should never be greater than 8, though the default of 1 (no concurrency) should be sufficient for most configurations.

For setting up concurrency, modify collect_concurrency and discover_concurrency parameters.

  ## number of go routines to use for collection and discovery of objects and metrics
  # collect_concurrency = 1
  # discover_concurrency = 1

Inventory Paths

Resources to be monitored can be selected using Inventory Paths. This treats the vSphere inventory as a tree structure similar to a file system. A vSphere inventory has a structure similar to this:

<root>
+-DC0 # Virtual datacenter
   +-datastore # Datastore folder (created by system)
   | +-Datastore1
   +-host # Host folder (created by system)
   | +-Cluster1
   | | +-Host1
   | | | +-VM1
   | | | +-VM2
   | | | +-hadoop1
   | +-Host2 # Dummy cluster created for non-clustered host
   | | +-Host2
   | | | +-VM3
   | | | +-VM4
   +-vm # VM folder (created by system)
   | +-VM1
   | +-VM2
   | +-Folder1
   | | +-hadoop1
   | | +-NestedFolder1
   | | | +-VM3
   | | | +-VM4

Using Inventory Paths

Using familiar UNIX-style paths, one could select e.g. VM2 with the path /DC0/vm/VM2.

Often, we want to select a group of resource, such as all the VMs in a folder. We could use the path /DC0/vm/Folder1/* for that.

Another possibility is to select objects using a partial name, such as /DC0/vm/Folder1/hadoop* yielding all vms in Folder1 with a name starting with "hadoop".

Finally, due to the arbitrary nesting of the folder structure, we need a "recursive wildcard" for traversing multiple folders. We use the "**" symbol for that. If we want to look for a VM with a name starting with "hadoop" in any folder, we could use the following path: /DC0/vm/**/hadoop*

Multiple paths to VMs

As we can see from the example tree above, VMs appear both in its on folder under the datacenter, as well as under the hosts. This is useful when you like to select VMs on a specific host. For example, /DC0/host/Cluster1/Host1/hadoop* selects all VMs with a name starting with "hadoop" that are running on Host1.

We can extend this to looking at a cluster level: /DC0/host/Cluster1/*/hadoop*. This selects any VM matching "hadoop*" on any host in Cluster1.

Performance Considerations

Realtime vs. historical metrics

vCenter keeps two different kinds of metrics, known as realtime and historical metrics.

• Realtime metrics: Avaialable at a 20 second granularity. These metrics are stored in memory and are very fast and cheap to query. Our tests have shown that a complete set of realtime metrics for 7000 virtual machines can be obtained in less than 20 seconds. Realtime metrics are only available on ESXi hosts and virtual machine resources. Realtime metrics are only stored for 1 hour in vCenter.
• Historical metrics: Available at a 5 minute, 30 minutes, 2 hours and 24 hours rollup levels. The vSphere Telegraf plugin only uses the 5 minute rollup. These metrics are stored in the vCenter database and can be expensive and slow to query. Historical metrics are the only type of metrics available for clusters, datastores and datacenters.

For more information, refer to the vSphere documentation here: https://pubs.vmware.com/vsphere-50/index.jsp?topic=%2Fcom.vmware.wssdk.pg.doc_50%2FPG_Ch16_Performance.18.2.html

This distinction has an impact on how Telegraf collects metrics. A single instance of an input plugin can have one and only one collection interval, which means that you typically set the collection interval based on the most frequently collected metric. Let's assume you set the collection interval to 1 minute. All realtime metrics will be collected every minute. Since the historical metrics are only available on a 5 minute interval, the vSphere Telegraf plugin automatically skips four out of five collection cycles for these metrics. This works fine in many cases. Problems arise when the collection of historical metrics takes longer than the collecition interval. This will cause error messages similar to this to appear in the Telegraf logs:

2019-01-16T13:41:10Z W! [agent] input "inputs.vsphere" did not complete within its interval

This will disrupt the metric collection and can result in missed samples. The best practice workaround is to specify two instances of the vSphere plugin, one for the realtime metrics with a short collection interval and one for the historical metrics with a longer interval. You can use the *_metric_exclude to turn off the resources you don't want to collect metrics for in each instance. For example:

## Realtime instance
[[inputs.vsphere]]
  interval = "60s"
  vcenters = [ "https://someaddress/sdk" ]
  username = "someuser@vsphere.local"
  password = "secret"

  insecure_skip_verify = true
  force_discover_on_init = true

  # Exclude all historical metrics
  datastore_metric_exclude = ["*"]
  cluster_metric_exclude = ["*"]
  datacenter_metric_exclude = ["*"]

  collect_concurrency = 5
  discover_concurrency = 5

# Historical instance
[[inputs.vsphere]]

  interval = "300s"

  vcenters = [ "https://someaddress/sdk" ]
  username = "someuser@vsphere.local"
  password = "secret"

  insecure_skip_verify = true
  force_discover_on_init = true
  host_metric_exclude = ["*"] # Exclude realtime metrics
  vm_metric_exclude = ["*"] # Exclude realtime metrics

  max_query_metrics = 256
  collect_concurrency = 3

Configuring max_query_metrics setting

The max_query_metrics determines the maximum number of metrics to attempt to retrieve in one call to vCenter. Generally speaking, a higher number means faster and more efficient queries. However, the number of allowed metrics in a query is typically limited in vCenter by the config.vpxd.stats.maxQueryMetrics setting in vCenter. The value defaults to 64 on vSphere 5.5 and older and 256 on newver versions of vCenter. The vSphere plugin always checks this setting and will automatically reduce the number if the limit configured in vCenter is lower than max_query_metrics in the plugin. This will result in a log message similar to this:

2019-01-21T03:24:18Z W! [input.vsphere] Configured max_query_metrics is 256, but server limits it to 64. Reducing.

You may ask a vCenter administrator to increase this limit to help boost performance.

Cluster metrics and the max_query_metrics setting

Cluster metrics are handled a bit differently by vCenter. They are aggregated from ESXi and virtual machine metrics and may not be available when you query their most recent values. When this happens, vCenter will attempt to perform that aggregation on the fly. Unfortunately, all the subqueries needed internally in vCenter to perform this aggregation will count towards config.vpxd.stats.maxQueryMetrics. This means that even a very small query may result in an error message similar to this:

2018-11-02T13:37:11Z E! Error in plugin [inputs.vsphere]: ServerFaultCode: This operation is restricted by the administrator - 'vpxd.stats.maxQueryMetrics'. Contact your system administrator

There are two ways of addressing this:

• Ask your vCenter administrator to set config.vpxd.stats.maxQueryMetrics to a number that's higher than the total number of virtual machines managed by a vCenter instance.
• Exclude the cluster metrics and use either the basicstats aggregator to calculate sums and averages per cluster or use queries in the visualization tool to obtain the same result.

Concurrency settings

The vSphere plugin allows you to specify two concurrency settings:

• collect_concurrency: The maximum number of simultaneous queries for performance metrics allowed per resource type.
• discover_concurrency: The maximum number of simultaneous queries for resource discovery allowed.

While a higher level of concurrency typically has a positive impact on performance, increasing these numbers too much can cause performance issues at the vCenter server. A rule of thumb is to set these parameters to the number of virtual machines divided by 1500 and rounded up to the nearest integer.

Measurements & Fields

• Cluster Stats
  • Cluster services: CPU, memory, failover
  • CPU: total, usage
  • Memory: consumed, total, vmmemctl
  • VM operations: # changes, clone, create, deploy, destroy, power, reboot, reconfigure, register, reset, shutdown, standby, vmotion
• Host Stats:
  • CPU: total, usage, cost, mhz
  • Datastore: iops, latency, read/write bytes, # reads/writes
  • Disk: commands, latency, kernel reads/writes, # reads/writes, queues
  • Memory: total, usage, active, latency, swap, shared, vmmemctl
  • Network: broadcast, bytes, dropped, errors, multicast, packets, usage
  • Power: energy, usage, capacity
  • Res CPU: active, max, running
  • Storage Adapter: commands, latency, # reads/writes
  • Storage Path: commands, latency, # reads/writes
  • System Resources: cpu active, cpu max, cpu running, cpu usage, mem allocated, mem consumed, mem shared, swap
  • System: uptime
  • Flash Module: active VMDKs
• VM Stats:
  • CPU: demand, usage, readiness, cost, mhz
  • Datastore: latency, # reads/writes
  • Disk: commands, latency, # reads/writes, provisioned, usage
  • Memory: granted, usage, active, swap, vmmemctl
  • Network: broadcast, bytes, dropped, multicast, packets, usage
  • Power: energy, usage
  • Res CPU: active, max, running
  • System: operating system uptime, uptime
  • Virtual Disk: seeks, # reads/writes, latency, load
• Datastore stats:
  • Disk: Capacity, provisioned, used

For a detailed list of commonly available metrics, please refer to METRICS.md

Tags

• all metrics
  • vcenter (vcenter url)
• all host metrics
  • cluster (vcenter cluster)
• all vm metrics
  • cluster (vcenter cluster)
  • esxhost (name of ESXi host)
  • guest (guest operating system id)
• cpu stats for Host and VM
  • cpu (cpu core - not all CPU fields will have this tag)
• datastore stats for Host and VM
  • datastore (id of datastore)
• disk stats for Host and VM
  • disk (name of disk)
• disk.used.capacity for Datastore
  • disk (type of disk)
• net stats for Host and VM
  • interface (name of network interface)
• storageAdapter stats for Host
  • adapter (name of storage adapter)
• storagePath stats for Host
  • path (id of storage path)
• sys.resource* stats for Host
  • resource (resource type)
• vflashModule stats for Host
  • module (name of flash module)
• virtualDisk stats for VM
  • disk (name of virtual disk)

Sample output

vsphere_vm_cpu,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-35,os=Mac,source=DC0_H0_VM0,vcenter=localhost:8989,vmname=DC0_H0_VM0 run_summation=2608i,ready_summation=129i,usage_average=5.01,used_summation=2134i,demand_average=326i 1535660299000000000
vsphere_vm_net,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-35,os=Mac,source=DC0_H0_VM0,vcenter=localhost:8989,vmname=DC0_H0_VM0 bytesRx_average=321i,bytesTx_average=335i 1535660299000000000
vsphere_vm_virtualDisk,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-35,os=Mac,source=DC0_H0_VM0,vcenter=localhost:8989,vmname=DC0_H0_VM0 write_average=144i,read_average=4i 1535660299000000000
vsphere_vm_net,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-38,os=Mac,source=DC0_H0_VM1,vcenter=localhost:8989,vmname=DC0_H0_VM1 bytesRx_average=242i,bytesTx_average=308i 1535660299000000000
vsphere_vm_virtualDisk,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-38,os=Mac,source=DC0_H0_VM1,vcenter=localhost:8989,vmname=DC0_H0_VM1 write_average=232i,read_average=4i 1535660299000000000
vsphere_vm_cpu,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-38,os=Mac,source=DC0_H0_VM1,vcenter=localhost:8989,vmname=DC0_H0_VM1 usage_average=5.49,used_summation=1804i,demand_average=308i,run_summation=2001i,ready_summation=120i 1535660299000000000
vsphere_vm_cpu,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-41,os=Mac,source=DC0_C0_RP0_VM0,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM0 usage_average=4.19,used_summation=2108i,demand_average=285i,run_summation=1793i,ready_summation=93i 1535660299000000000
vsphere_vm_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-41,os=Mac,source=DC0_C0_RP0_VM0,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM0 bytesRx_average=272i,bytesTx_average=419i 1535660299000000000
vsphere_vm_virtualDisk,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-41,os=Mac,source=DC0_C0_RP0_VM0,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM0 write_average=229i,read_average=4i 1535660299000000000
vsphere_vm_cpu,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-44,os=Mac,source=DC0_C0_RP0_VM1,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM1 run_summation=2277i,ready_summation=118i,usage_average=4.67,used_summation=2546i,demand_average=289i 1535660299000000000
vsphere_vm_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-44,os=Mac,source=DC0_C0_RP0_VM1,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM1 bytesRx_average=243i,bytesTx_average=296i 1535660299000000000
vsphere_vm_virtualDisk,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-44,os=Mac,source=DC0_C0_RP0_VM1,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM1 write_average=158i,read_average=4i 1535660299000000000
vsphere_host_net,esxhostname=DC0_H0,host=host.example.com,interface=vmnic0,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 usage_average=1042i,bytesTx_average=753i,bytesRx_average=660i 1535660299000000000
vsphere_host_cpu,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 utilization_average=10.46,usage_average=22.4,readiness_average=0.4,costop_summation=2i,coreUtilization_average=19.61,wait_summation=5148518i,idle_summation=58581i,latency_average=0.6,ready_summation=13370i,used_summation=19219i 1535660299000000000
vsphere_host_cpu,cpu=0,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 coreUtilization_average=25.6,utilization_average=11.58,used_summation=24306i,usage_average=24.26,idle_summation=86688i 1535660299000000000
vsphere_host_cpu,cpu=1,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 coreUtilization_average=12.29,utilization_average=8.32,used_summation=31312i,usage_average=22.47,idle_summation=94934i 1535660299000000000
vsphere_host_disk,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 read_average=331i,write_average=2800i 1535660299000000000
vsphere_host_disk,disk=/var/folders/rf/txwdm4pj409f70wnkdlp7sz80000gq/T/govcsim-DC0-LocalDS_0-367088371@folder-5,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 write_average=2701i,read_average=258i 1535660299000000000
vsphere_host_mem,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 usage_average=93.27 1535660299000000000
vsphere_host_net,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 bytesTx_average=650i,usage_average=1414i,bytesRx_average=569i 1535660299000000000
vsphere_host_cpu,clustername=DC0_C0,cpu=1,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 utilization_average=12.6,used_summation=25775i,usage_average=24.44,idle_summation=68886i,coreUtilization_average=17.59 1535660299000000000
vsphere_host_disk,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 read_average=340i,write_average=2340i 1535660299000000000
vsphere_host_disk,clustername=DC0_C0,disk=/var/folders/rf/txwdm4pj409f70wnkdlp7sz80000gq/T/govcsim-DC0-LocalDS_0-367088371@folder-5,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 write_average=2277i,read_average=282i 1535660299000000000
vsphere_host_mem,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 usage_average=104.78 1535660299000000000
vsphere_host_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 bytesTx_average=463i,usage_average=1131i,bytesRx_average=719i 1535660299000000000
vsphere_host_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,interface=vmnic0,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 usage_average=1668i,bytesTx_average=838i,bytesRx_average=921i 1535660299000000000
vsphere_host_cpu,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 used_summation=28952i,utilization_average=11.36,idle_summation=93261i,latency_average=0.46,ready_summation=12837i,usage_average=21.56,readiness_average=0.39,costop_summation=2i,coreUtilization_average=27.19,wait_summation=3820829i 1535660299000000000
vsphere_host_cpu,clustername=DC0_C0,cpu=0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 coreUtilization_average=24.12,utilization_average=13.83,used_summation=22462i,usage_average=24.69,idle_summation=96993i 1535660299000000000
internal_vsphere,host=host.example.com,os=Mac,vcenter=localhost:8989 connect_ns=4727607i,discover_ns=65389011i,discovered_objects=8i 1535660309000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=datastore,vcenter=localhost:8989 gather_duration_ns=296223i,gather_count=0i 1535660309000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=vm,vcenter=192.168.1.151 gather_duration_ns=136050i,gather_count=0i 1535660309000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=host,vcenter=localhost:8989 gather_count=62i,gather_duration_ns=8788033i 1535660309000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=host,vcenter=192.168.1.151 gather_count=0i,gather_duration_ns=162002i 1535660309000000000
internal_gather,host=host.example.com,input=vsphere,os=Mac gather_time_ns=17483653i,metrics_gathered=28i 1535660309000000000
internal_vsphere,host=host.example.com,os=Mac,vcenter=192.168.1.151 connect_ns=0i 1535660309000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=vm,vcenter=localhost:8989 gather_duration_ns=7291897i,gather_count=36i 1535660309000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=datastore,vcenter=192.168.1.151 gather_duration_ns=958474i,gather_count=0i 1535660309000000000
vsphere_vm_cpu,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-38,os=Mac,source=DC0_H0_VM1,vcenter=localhost:8989,vmname=DC0_H0_VM1 usage_average=8.82,used_summation=3192i,demand_average=283i,run_summation=2419i,ready_summation=115i 1535660319000000000
vsphere_vm_net,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-38,os=Mac,source=DC0_H0_VM1,vcenter=localhost:8989,vmname=DC0_H0_VM1 bytesRx_average=277i,bytesTx_average=343i 1535660319000000000
vsphere_vm_virtualDisk,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-38,os=Mac,source=DC0_H0_VM1,vcenter=localhost:8989,vmname=DC0_H0_VM1 read_average=1i,write_average=741i 1535660319000000000
vsphere_vm_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-41,os=Mac,source=DC0_C0_RP0_VM0,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM0 bytesRx_average=386i,bytesTx_average=369i 1535660319000000000
vsphere_vm_virtualDisk,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-41,os=Mac,source=DC0_C0_RP0_VM0,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM0 write_average=814i,read_average=1i 1535660319000000000
vsphere_vm_cpu,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-41,os=Mac,source=DC0_C0_RP0_VM0,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM0 run_summation=1778i,ready_summation=111i,usage_average=7.54,used_summation=2339i,demand_average=297i 1535660319000000000
vsphere_vm_cpu,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-44,os=Mac,source=DC0_C0_RP0_VM1,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM1 usage_average=6.98,used_summation=2125i,demand_average=211i,run_summation=2990i,ready_summation=141i 1535660319000000000
vsphere_vm_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-44,os=Mac,source=DC0_C0_RP0_VM1,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM1 bytesRx_average=357i,bytesTx_average=268i 1535660319000000000
vsphere_vm_virtualDisk,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-44,os=Mac,source=DC0_C0_RP0_VM1,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM1 write_average=528i,read_average=1i 1535660319000000000
vsphere_vm_cpu,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-35,os=Mac,source=DC0_H0_VM0,vcenter=localhost:8989,vmname=DC0_H0_VM0 used_summation=2374i,demand_average=195i,run_summation=3454i,ready_summation=110i,usage_average=7.34 1535660319000000000
vsphere_vm_net,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-35,os=Mac,source=DC0_H0_VM0,vcenter=localhost:8989,vmname=DC0_H0_VM0 bytesRx_average=308i,bytesTx_average=246i 1535660319000000000
vsphere_vm_virtualDisk,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-35,os=Mac,source=DC0_H0_VM0,vcenter=localhost:8989,vmname=DC0_H0_VM0 write_average=1178i,read_average=1i 1535660319000000000
vsphere_host_net,esxhostname=DC0_H0,host=host.example.com,interface=vmnic0,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 bytesRx_average=773i,usage_average=1521i,bytesTx_average=890i 1535660319000000000
vsphere_host_cpu,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 wait_summation=3421258i,idle_summation=67994i,latency_average=0.36,usage_average=29.86,readiness_average=0.37,used_summation=25244i,costop_summation=2i,coreUtilization_average=21.94,utilization_average=17.19,ready_summation=15897i 1535660319000000000
vsphere_host_cpu,cpu=0,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 utilization_average=11.32,used_summation=19333i,usage_average=14.29,idle_summation=92708i,coreUtilization_average=27.68 1535660319000000000
vsphere_host_cpu,cpu=1,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 used_summation=28596i,usage_average=25.32,idle_summation=79553i,coreUtilization_average=28.01,utilization_average=11.33 1535660319000000000
vsphere_host_disk,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 read_average=86i,write_average=1659i 1535660319000000000
vsphere_host_disk,disk=/var/folders/rf/txwdm4pj409f70wnkdlp7sz80000gq/T/govcsim-DC0-LocalDS_0-367088371@folder-5,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 write_average=1997i,read_average=58i 1535660319000000000
vsphere_host_mem,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 usage_average=68.45 1535660319000000000
vsphere_host_net,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 bytesTx_average=679i,usage_average=2286i,bytesRx_average=719i 1535660319000000000
vsphere_host_cpu,clustername=DC0_C0,cpu=1,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 utilization_average=10.52,used_summation=21693i,usage_average=23.09,idle_summation=84590i,coreUtilization_average=29.92 1535660319000000000
vsphere_host_disk,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 read_average=113i,write_average=1236i 1535660319000000000
vsphere_host_disk,clustername=DC0_C0,disk=/var/folders/rf/txwdm4pj409f70wnkdlp7sz80000gq/T/govcsim-DC0-LocalDS_0-367088371@folder-5,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 write_average=1708i,read_average=110i 1535660319000000000
vsphere_host_mem,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 usage_average=111.46 1535660319000000000
vsphere_host_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 bytesTx_average=998i,usage_average=2000i,bytesRx_average=881i 1535660319000000000
vsphere_host_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,interface=vmnic0,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 usage_average=1683i,bytesTx_average=675i,bytesRx_average=1078i 1535660319000000000
vsphere_host_cpu,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 used_summation=28531i,wait_summation=3139129i,utilization_average=9.99,idle_summation=98579i,latency_average=0.51,costop_summation=2i,coreUtilization_average=14.35,ready_summation=16121i,usage_average=34.19,readiness_average=0.4 1535660319000000000
vsphere_host_cpu,clustername=DC0_C0,cpu=0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 utilization_average=12.2,used_summation=22750i,usage_average=18.84,idle_summation=99539i,coreUtilization_average=23.05 1535660319000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=host,vcenter=localhost:8989 gather_duration_ns=7076543i,gather_count=62i 1535660339000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=host,vcenter=192.168.1.151 gather_duration_ns=4051303i,gather_count=0i 1535660339000000000
internal_gather,host=host.example.com,input=vsphere,os=Mac metrics_gathered=56i,gather_time_ns=13555029i 1535660339000000000
internal_vsphere,host=host.example.com,os=Mac,vcenter=192.168.1.151 connect_ns=0i 1535660339000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=vm,vcenter=localhost:8989 gather_duration_ns=6335467i,gather_count=36i 1535660339000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=datastore,vcenter=192.168.1.151 gather_duration_ns=958474i,gather_count=0i 1535660339000000000
internal_vsphere,host=host.example.com,os=Mac,vcenter=localhost:8989 discover_ns=65389011i,discovered_objects=8i,connect_ns=4727607i 1535660339000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=datastore,vcenter=localhost:8989 gather_duration_ns=296223i,gather_count=0i 1535660339000000000
internal_vsphere,host=host.example.com,os=Mac,resourcetype=vm,vcenter=192.168.1.151 gather_count=0i,gather_duration_ns=1540920i 1535660339000000000
vsphere_vm_virtualDisk,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-35,os=Mac,source=DC0_H0_VM0,vcenter=localhost:8989,vmname=DC0_H0_VM0 write_average=302i,read_average=11i 1535660339000000000
vsphere_vm_cpu,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-35,os=Mac,source=DC0_H0_VM0,vcenter=localhost:8989,vmname=DC0_H0_VM0 usage_average=5.58,used_summation=2941i,demand_average=298i,run_summation=3255i,ready_summation=96i 1535660339000000000
vsphere_vm_net,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-35,os=Mac,source=DC0_H0_VM0,vcenter=localhost:8989,vmname=DC0_H0_VM0 bytesRx_average=155i,bytesTx_average=241i 1535660339000000000
vsphere_vm_cpu,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-38,os=Mac,source=DC0_H0_VM1,vcenter=localhost:8989,vmname=DC0_H0_VM1 usage_average=10.3,used_summation=3053i,demand_average=346i,run_summation=3289i,ready_summation=122i 1535660339000000000
vsphere_vm_net,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-38,os=Mac,source=DC0_H0_VM1,vcenter=localhost:8989,vmname=DC0_H0_VM1 bytesRx_average=215i,bytesTx_average=275i 1535660339000000000
vsphere_vm_virtualDisk,esxhostname=DC0_H0,guest=other,host=host.example.com,moid=vm-38,os=Mac,source=DC0_H0_VM1,vcenter=localhost:8989,vmname=DC0_H0_VM1 write_average=252i,read_average=14i 1535660339000000000
vsphere_vm_cpu,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-41,os=Mac,source=DC0_C0_RP0_VM0,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM0 usage_average=8,used_summation=2183i,demand_average=354i,run_summation=3542i,ready_summation=128i 1535660339000000000
vsphere_vm_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-41,os=Mac,source=DC0_C0_RP0_VM0,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM0 bytesRx_average=178i,bytesTx_average=200i 1535660339000000000
vsphere_vm_virtualDisk,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-41,os=Mac,source=DC0_C0_RP0_VM0,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM0 write_average=283i,read_average=12i 1535660339000000000
vsphere_vm_cpu,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-44,os=Mac,source=DC0_C0_RP0_VM1,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM1 demand_average=328i,run_summation=3481i,ready_summation=122i,usage_average=7.95,used_summation=2167i 1535660339000000000
vsphere_vm_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-44,os=Mac,source=DC0_C0_RP0_VM1,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM1 bytesTx_average=282i,bytesRx_average=196i 1535660339000000000
vsphere_vm_virtualDisk,clustername=DC0_C0,esxhostname=DC0_C0_H0,guest=other,host=host.example.com,moid=vm-44,os=Mac,source=DC0_C0_RP0_VM1,vcenter=localhost:8989,vmname=DC0_C0_RP0_VM1 write_average=321i,read_average=13i 1535660339000000000
vsphere_host_disk,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 read_average=39i,write_average=2635i 1535660339000000000
vsphere_host_disk,disk=/var/folders/rf/txwdm4pj409f70wnkdlp7sz80000gq/T/govcsim-DC0-LocalDS_0-367088371@folder-5,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 write_average=2635i,read_average=30i 1535660339000000000
vsphere_host_mem,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 usage_average=98.5 1535660339000000000
vsphere_host_net,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 usage_average=1887i,bytesRx_average=662i,bytesTx_average=251i 1535660339000000000
vsphere_host_net,esxhostname=DC0_H0,host=host.example.com,interface=vmnic0,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 usage_average=1481i,bytesTx_average=899i,bytesRx_average=992i 1535660339000000000
vsphere_host_cpu,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 used_summation=50405i,costop_summation=2i,utilization_average=17.32,latency_average=0.61,ready_summation=14843i,usage_average=27.94,coreUtilization_average=32.12,wait_summation=3058787i,idle_summation=56600i,readiness_average=0.36 1535660339000000000
vsphere_host_cpu,cpu=0,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 coreUtilization_average=37.61,utilization_average=17.05,used_summation=38013i,usage_average=32.66,idle_summation=89575i 1535660339000000000
vsphere_host_cpu,cpu=1,esxhostname=DC0_H0,host=host.example.com,moid=host-19,os=Mac,source=DC0_H0,vcenter=localhost:8989 coreUtilization_average=25.92,utilization_average=18.72,used_summation=39790i,usage_average=40.42,idle_summation=69457i 1535660339000000000
vsphere_host_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,interface=vmnic0,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 usage_average=1246i,bytesTx_average=673i,bytesRx_average=781i 1535660339000000000
vsphere_host_cpu,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 coreUtilization_average=33.8,idle_summation=77121i,ready_summation=15857i,readiness_average=0.39,used_summation=29554i,costop_summation=2i,wait_summation=4338417i,utilization_average=17.87,latency_average=0.44,usage_average=28.78 1535660339000000000
vsphere_host_cpu,clustername=DC0_C0,cpu=0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 idle_summation=86610i,coreUtilization_average=34.36,utilization_average=19.03,used_summation=28766i,usage_average=23.72 1535660339000000000
vsphere_host_cpu,clustername=DC0_C0,cpu=1,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 coreUtilization_average=33.15,utilization_average=16.8,used_summation=44282i,usage_average=30.08,idle_summation=93490i 1535660339000000000
vsphere_host_disk,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 read_average=56i,write_average=1672i 1535660339000000000
vsphere_host_disk,clustername=DC0_C0,disk=/var/folders/rf/txwdm4pj409f70wnkdlp7sz80000gq/T/govcsim-DC0-LocalDS_0-367088371@folder-5,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 write_average=2110i,read_average=48i 1535660339000000000
vsphere_host_mem,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 usage_average=116.21 1535660339000000000
vsphere_host_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 bytesRx_average=726i,bytesTx_average=643i,usage_average=1504i 1535660339000000000
vsphere_host_mem,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 usage_average=116.21 1535660339000000000
vsphere_host_net,clustername=DC0_C0,esxhostname=DC0_C0_H0,host=host.example.com,moid=host-30,os=Mac,source=DC0_C0_H0,vcenter=localhost:8989 bytesRx_average=726i,bytesTx_average=643i,usage_average=1504i 1535660339000000000