vsphere

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 Go to latest Published: Mar 13, 2023 License: MIT Imports: 32 Imported by: 9

README

VMware vSphere Input Plugin

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

  • Clusters
  • Hosts
  • Resource Pools
  • VMs
  • Datastores

Supported versions of vSphere

This plugin supports vSphere version 6.5, 6.7, 7.0 and 8.0. It may work with versions 5.1, 5.5 and 6.0, but neither are officially supported.

Compatibility information is available from the govmomi project here

Global configuration options

In addition to the plugin-specific configuration settings, plugins support additional global and plugin configuration settings. These settings are used to modify metrics, tags, and field or create aliases and configure ordering, etc. See the CONFIGURATION.md for more details.

Secret-store support

This plugin supports secrets from secret-stores for the username and password option. See the secret-store documentation for more details on how to use them.

Configuration

-# 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

  ## Resource Pools
  # datastore_include = [ "/*/host/**"] # Inventory path to datastores to collect (by default all are collected)
  # datastore_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

  ## Datastores
  # datastore_include = [ "/*/datastore/**"] # Inventory path to datastores to collect (by default all are collected)
  # datastore_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 retrieve 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 retrieve 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

  ## 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_exclude 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_exclude to [] (empty set) and use custom_attribute_include
  ## to select the attributes you want to include.
  # custom_attribute_include = []
  # custom_attribute_exclude = ["*"]

  ## The number of vSphere 5 minute metric collection cycles to look back for non-realtime metrics. In
  ## some versions (6.7, 7.0 and possible more), certain metrics, such as cluster metrics, may be reported
  ## with a significant delay (>30min). If this happens, try increasing this number. Please note that increasing
  ## it too much may cause performance issues.
  # metric_lookback = 3

  ## 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

  ## The Historical Interval value must match EXACTLY the interval in the daily
  # "Interval Duration" found on the VCenter server under Configure > General > Statistics > Statistic intervals
  # historical_interval = "5m"

  ## Specifies plugin behavior regarding disconnected servers
  ## Available choices :
  ##   - error: telegraf will return an error on startup if one the servers is unreachable
  ##   - skip: telegraf will skip unreachable servers on both startup and gather
  # disconnected_servers_behavior = "error"

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 = [ "*" ]

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:

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 retrieve 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
   | | +-ResourcePool1
   | | | +-VM3
   | | | +-VM4
   | +-Host2 # Dummy cluster created for non-clustered host
   | | +-Host2
   | | | +-VM5
   | | | +-VM6
   +-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.

Inventory paths and top-level folders

If your datacenter is in a folder and not directly below the inventory root, the default inventory paths will not work. This is intentional, since recursive wildcards may be slow in very large environments.

If your datacenter is in a folder, you have two options:

  1. Explicitly include the folder in the path. For example, if your datacenter is in a folder named F1 you could use the following path to get to your hosts: /F1/MyDatacenter/host/**
  2. Use a recursive wildcard to search an arbitrarily long chain of nested folders. To get to the hosts, you could use the following path: /**/host/**. Note that this may run slowly in a very large environment, since a large number of nodes will be traversed.

Performance Considerations

Realtime vs. historical metrics

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

  • Realtime metrics: Available 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 (default) 5 minute, 30 minutes, 2 hours and 24 hours rollup levels. The vSphere Telegraf plugin only uses the most granular rollup which defaults to 5 minutes but can be changed in vCenter to other interval durations. 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, resource pools and datacenters.

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 collection 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 = ["*"]
  resourcepool_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.

Configuring historical_interval setting

When the vSphere plugin queries vCenter for historical statistics it queries for statistics that exist at a specific interval. The default historical interval duration is 5 minutes but if this interval has been changed then you must override the default query interval in the vSphere plugin.

  • historical_interval: The interval of the most granular statistics configured in vSphere represented in seconds.

Metrics

  • 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
  • Resource Pools stats:
    • Memory: total, usage, active, latency, swap, shared, vmmemctl
    • CPU: capacity, usage, corecount
    • Disk: throughput
    • Network: throughput
    • Power: energy, usage
  • 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)
    • resource pool (name of resource pool)
  • 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)

Example 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

Documentation

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func SendInternalCounter 

func SendInternalCounter(name, vCenter string, value int64)

SendInternalCounter is a convenience method for sending non-timing internal metrics.

func SendInternalCounterWithTags 

func SendInternalCounterWithTags(name, vCenter string, tags map[string]string, value int64)

SendInternalCounterWithTags is a convenience method for sending non-timing internal metrics. Allows additional tags

Types

type Client 

type Client struct {
	Client  *govmomi.Client
	Views   *view.Manager
	Root    *view.ContainerView
	Perf    *performance.Manager
	Valid   bool
	Timeout time.Duration
	// contains filtered or unexported fields
}

Client represents a connection to vSphere and is backed by a govmomi connection

func NewClient 

func NewClient(ctx context.Context, vSphereURL *url.URL, vs *VSphere) (*Client, error)

NewClient creates a new vSphere client based on the url and setting passed as parameters.

func (*Client) CounterInfoByKey 

func (c *Client) CounterInfoByKey(ctx context.Context) (map[int32]*types.PerfCounterInfo, error)

CounterInfoByKey wraps performance.CounterInfoByKey to give it proper timeouts

func (*Client) CounterInfoByName 

func (c *Client) CounterInfoByName(ctx context.Context) (map[string]*types.PerfCounterInfo, error)

CounterInfoByName wraps performance.CounterInfoByName to give it proper timeouts

func (*Client) GetCustomFields 

func (c *Client) GetCustomFields(ctx context.Context) (map[int32]string, error)

func (*Client) GetMaxQueryMetrics 

func (c *Client) GetMaxQueryMetrics(ctx context.Context) (int, error)

GetMaxQueryMetrics returns the max_query_metrics setting as configured in vCenter

func (*Client) GetServerTime 

func (c *Client) GetServerTime(ctx context.Context) (time.Time, error)

GetServerTime returns the time at the vCenter server

func (*Client) ListResources 

func (c *Client) ListResources(ctx context.Context, root *view.ContainerView, kind []string, ps []string, dst interface{}) error

ListResources wraps property.Collector.Retrieve to give it proper timeouts

func (*Client) QueryMetrics 

func (c *Client) QueryMetrics(ctx context.Context, pqs []types.PerfQuerySpec) ([]performance.EntityMetric, error)

QueryMetrics wraps performance.Query to give it proper timeouts

type ClientFactory 

type ClientFactory struct {
	// contains filtered or unexported fields
}

ClientFactory is used to obtain Clients to be used throughout the plugin. Typically, a single Client is reused across all functions and goroutines, but the client is periodically recycled to avoid authentication expiration issues.

func NewClientFactory 

func NewClientFactory(vSphereURL *url.URL, parent *VSphere) *ClientFactory

NewClientFactory creates a new ClientFactory and prepares it for use.

func (*ClientFactory) Close 

func (cf *ClientFactory) Close()

Close shuts down a ClientFactory and releases any resources associated with it.

func (*ClientFactory) GetClient 

func (cf *ClientFactory) GetClient(ctx context.Context) (*Client, error)

GetClient returns a client. The caller is responsible for calling Release() on the client once it's done using it.

type Endpoint 

type Endpoint struct {
	Parent *VSphere
	URL    *url.URL
	// contains filtered or unexported fields
}

Endpoint is a high-level representation of a connected vCenter endpoint. It is backed by the lower level Client type.

func NewEndpoint 

func NewEndpoint(ctx context.Context, parent *VSphere, address *url.URL, log telegraf.Logger) (*Endpoint, error)

NewEndpoint returns a new connection to a vCenter based on the URL and configuration passed as parameters.

func (*Endpoint) Close 

func (e *Endpoint) Close()

Close shuts down an Endpoint and releases any resources associated with it.

func (*Endpoint) Collect 

func (e *Endpoint) Collect(ctx context.Context, acc telegraf.Accumulator) error

Collect runs a round of data collections as specified in the configuration.

type Finder 

type Finder struct {
	// contains filtered or unexported fields
}

Finder allows callers to find resources in vCenter given a query string.

func (*Finder) Find 

func (f *Finder) Find(ctx context.Context, resType, path string, dst interface{}) error

Find returns the resources matching the specified path.

func (*Finder) FindAll 

func (f *Finder) FindAll(ctx context.Context, resType string, paths, excludePaths []string, dst interface{}) error

FindAll returns the union of resources found given the supplied resource type and paths.

type ResourceFilter 

type ResourceFilter struct {
	// contains filtered or unexported fields
}

ResourceFilter is a convenience class holding a finder and a set of paths. It is useful when you need a self contained object capable of returning a certain set of resources.

func (*ResourceFilter) FindAll 

func (r *ResourceFilter) FindAll(ctx context.Context, dst interface{}) error

FindAll finds all resources matching the paths that were specified upon creation of the ResourceFilter.

type Stopwatch 

type Stopwatch struct {
	// contains filtered or unexported fields
}

Stopwatch is a simple helper for recording timing information, such as gather times and discovery times.

func NewStopwatch 

func NewStopwatch(name, vCenter string) *Stopwatch

NewStopwatch creates a new StopWatch and starts measuring time its creation.

func NewStopwatchWithTags 

func NewStopwatchWithTags(name, vCenter string, tags map[string]string) *Stopwatch

NewStopwatchWithTags creates a new StopWatch and starts measuring time its creation. Allows additional tags.

func (*Stopwatch) Stop 

func (s *Stopwatch) Stop()

Stop stops a Stopwatch and records the time.

type TSCache 

type TSCache struct {
	// contains filtered or unexported fields
}

TSCache is a cache of timestamps used to determine the validity of datapoints

func NewTSCache 

func NewTSCache(ttl time.Duration, log telegraf.Logger) *TSCache

NewTSCache creates a new TSCache with a specified time-to-live after which timestamps are discarded.

func (*TSCache) Get 

func (t *TSCache) Get(key string, metricName string) (time.Time, bool)

Get returns a timestamp (if present)

func (*TSCache) IsNew 

func (t *TSCache) IsNew(key string, metricName string, tm time.Time) bool

IsNew returns true if the supplied timestamp for the supplied key is more recent than the timestamp we have on record.

func (*TSCache) Purge 

func (t *TSCache) Purge()

Purge removes timestamps that are older than the time-to-live

func (*TSCache) Put 

func (t *TSCache) Put(key string, metricName string, timestamp time.Time)

Put updates the latest timestamp for the supplied key.

type ThrottledExecutor 

type ThrottledExecutor struct {
	// contains filtered or unexported fields
}

ThrottledExecutor provides a simple mechanism for running jobs in separate goroutines while limit the number of concurrent jobs running at any given time.

func NewThrottledExecutor 

func NewThrottledExecutor(limit int) *ThrottledExecutor

NewThrottledExecutor creates a new ThrottlesExecutor with a specified maximum number of concurrent jobs

func (*ThrottledExecutor) Run 

func (t *ThrottledExecutor) Run(ctx context.Context, job func())

Run schedules a job for execution as soon as possible while respecting the maximum concurrency limit.

func (*ThrottledExecutor) Wait 

func (t *ThrottledExecutor) Wait()

Wait blocks until all scheduled jobs have finished

type VSphere 

type VSphere struct {
	Vcenters                    []string
	Username                    config.Secret `toml:"username"`
	Password                    config.Secret `toml:"password"`
	DatacenterInstances         bool
	DatacenterMetricInclude     []string
	DatacenterMetricExclude     []string
	DatacenterInclude           []string
	DatacenterExclude           []string
	ClusterInstances            bool
	ClusterMetricInclude        []string
	ClusterMetricExclude        []string
	ClusterInclude              []string
	ClusterExclude              []string
	ResourcePoolInstances       bool
	ResourcePoolMetricInclude   []string
	ResourcePoolMetricExclude   []string
	ResourcePoolInclude         []string
	ResourcePoolExclude         []string
	HostInstances               bool
	HostMetricInclude           []string
	HostMetricExclude           []string
	HostInclude                 []string
	HostExclude                 []string
	VMInstances                 bool     `toml:"vm_instances"`
	VMMetricInclude             []string `toml:"vm_metric_include"`
	VMMetricExclude             []string `toml:"vm_metric_exclude"`
	VMInclude                   []string `toml:"vm_include"`
	VMExclude                   []string `toml:"vm_exclude"`
	DatastoreInstances          bool
	DatastoreMetricInclude      []string
	DatastoreMetricExclude      []string
	DatastoreInclude            []string
	DatastoreExclude            []string
	Separator                   string
	CustomAttributeInclude      []string
	CustomAttributeExclude      []string
	UseIntSamples               bool
	IPAddresses                 []string
	MetricLookback              int
	DisconnectedServersBehavior string

	MaxQueryObjects         int
	MaxQueryMetrics         int
	CollectConcurrency      int
	DiscoverConcurrency     int
	ForceDiscoverOnInit     bool `toml:"force_discover_on_init" deprecated:"1.14.0;option is ignored"`
	ObjectDiscoveryInterval config.Duration
	Timeout                 config.Duration
	HistoricalInterval      config.Duration

	// Mix in the TLS/SSL goodness from core
	tls.ClientConfig

	Log telegraf.Logger
	// contains filtered or unexported fields
}

VSphere is the top level type for the vSphere input plugin. It contains all the configuration and a list of connected vSphere endpoints

func (*VSphere) Gather 

func (v *VSphere) Gather(acc telegraf.Accumulator) error

Gather is the main data collection function called by the Telegraf core. It performs all the data collection and writes all metrics into the Accumulator passed as an argument.

func (*VSphere) SampleConfig 

func (*VSphere) SampleConfig() string

func (*VSphere) Start 

func (v *VSphere) Start(_ telegraf.Accumulator) error

Start is called from telegraf core when a plugin is started and allows it to perform initialization tasks.

func (*VSphere) Stop 

func (v *VSphere) Stop()

Stop is called from telegraf core when a plugin is stopped and allows it to perform shutdown tasks.

Source Files

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