vsphere.yml

apiVersion: influxdata.com/v2alpha1
kind: Label
metadata:
    name: distracted-yonath-5cb001
spec:
    color: '#326BBA'
    name: vsphere
---
apiVersion: influxdata.com/v2alpha1
kind: Bucket
metadata:
    name: noshing-fermat-5cb005
spec:
    associations:
      - kind: Label
        name: distracted-yonath-5cb001
    name: vsphere
---
apiVersion: influxdata.com/v2alpha1
kind: Dashboard
metadata:
    name: vsphere
spec:
    associations:
      - kind: Label
        name: distracted-yonath-5cb001
    charts:
      - colors:
          - hex: '#00C9FF'
            name: laser
            type: text
        decimalPlaces: 2
        height: 3
        kind: Single_Stat
        name: Uptime
        queries:
          - query: |-
                from(bucket: "vsphere")
                  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
                  |> filter(fn: (r) => r["_measurement"] == "vsphere_host_sys")
                  |> filter(fn: (r) => r["_field"] == "uptime_latest")
                  |> skew()
                  |> yield(name: "skew")
        suffix: ' Days'
        width: 2
      - axes:
          - base: "10"
            name: x
            scale: linear
          - base: "10"
            name: y
            scale: linear
            suffix: ' kBs'
        colors:
          - hex: '#31C0F6'
            name: Nineteen Eighty Four
            type: scale
          - hex: '#A500A5'
            name: Nineteen Eighty Four
            type: scale
          - hex: '#FF7E27'
            name: Nineteen Eighty Four
            type: scale
        geom: line
        height: 2
        kind: Xy
        name: Network Usage
        position: overlaid
        queries:
          - query: |-
                from(bucket: "vsphere")
                  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
                  |> filter(fn: (r) => r["_measurement"] == "vsphere_host_net")
                  |> filter(fn: (r) => r["_field"] == "usage_average")
        width: 5
        xCol: _time
        yCol: _value
        yPos: 3
      - colors:
          - hex: '#00C9FF'
            name: laser
            type: text
        decimalPlaces: 2
        height: 3
        kind: Single_Stat
        name: CPU Usage
        queries:
          - query: |-
                from(bucket: "vsphere")
                  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
                  |> filter(fn: (r) => r["_measurement"] == "vsphere_host_cpu")
                  |> filter(fn: (r) => r["_field"] == "usagemhz_average")
        suffix: ' MHz'
        width: 1
        xPos: 2
      - colors:
          - hex: '#00C9FF'
            name: laser
            type: text
        decimalPlaces: 1
        height: 3
        kind: Single_Stat
        name: RAM Usage
        queries:
          - query: |-
                from(bucket: "vsphere")
                  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
                  |> filter(fn: (r) => r["_measurement"] == "vsphere_host_mem")
                  |> filter(fn: (r) => r["_field"] == "totalCapacity_average")
                  |> aggregateWindow(every: v.windowPeriod, fn: max)
                  |> yield(name: "max")
        suffix: ' MB'
        width: 1
        xPos: 3
      - axes:
          - base: "10"
            name: x
            scale: linear
          - base: "10"
            name: y
            scale: linear
        colors:
          - hex: '#31C0F6'
            name: Nineteen Eighty Four
            type: scale
          - hex: '#A500A5'
            name: Nineteen Eighty Four
            type: scale
          - hex: '#FF7E27'
            name: Nineteen Eighty Four
            type: scale
        geom: line
        height: 3
        kind: Xy
        name: CPU Utilization Avg %
        position: overlaid
        queries:
          - query: |-
                from(bucket: "vsphere")
                  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
                  |> filter(fn: (r) => r["_measurement"] == "vsphere_host_cpu")
                  |> filter(fn: (r) => r["_field"] == "usage_average")
        width: 4
        xCol: _time
        xPos: 4
        yCol: _value
      - axes:
          - base: "10"
            name: y
            scale: linear
          - base: "10"
            name: x
            scale: linear
        colors:
          - hex: '#31C0F6'
            name: Nineteen Eighty Four
            type: scale
          - hex: '#A500A5'
            name: Nineteen Eighty Four
            type: scale
          - hex: '#FF7E27'
            name: Nineteen Eighty Four
            type: scale
        geom: line
        height: 2
        kind: Xy
        name: Total Disk Latency
        position: overlaid
        queries:
          - query: |-
                from(bucket: "vsphere")
                  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
                  |> filter(fn: (r) => r["_measurement"] == "vsphere_host_disk")
                  |> filter(fn: (r) => r["_field"] == "totalReadLatency_average" or r["_field"] == "totalWriteLatency_average")
        width: 4
        xCol: _time
        xPos: 5
        yCol: _value
        yPos: 3
      - axes:
          - base: "10"
            name: x
            scale: linear
          - name: y
            scale: linear
            suffix: ' MB'
        colors:
          - hex: '#31C0F6'
            name: Nineteen Eighty Four
            type: scale
          - hex: '#A500A5'
            name: Nineteen Eighty Four
            type: scale
          - hex: '#FF7E27'
            name: Nineteen Eighty Four
            type: scale
        geom: line
        height: 3
        kind: Xy
        name: RAM Utilization
        position: stacked
        queries:
          - query: |-
                from(bucket: "vsphere")
                  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
                  |> filter(fn: (r) => r["_measurement"] == "vsphere_host_mem")
                  |> filter(fn: (r) => r["_field"] == "totalCapacity_average")
                  |> aggregateWindow(every: v.windowPeriod, fn: max)
                  |> yield(name: "max")
        shade: true
        width: 4
        xCol: _time
        xPos: 8
        yCol: _value
      - axes:
          - base: "10"
            name: x
            scale: linear
          - base: "10"
            name: y
            scale: linear
        colors:
          - hex: '#31C0F6'
            name: Nineteen Eighty Four
            type: scale
          - hex: '#A500A5'
            name: Nineteen Eighty Four
            type: scale
          - hex: '#FF7E27'
            name: Nineteen Eighty Four
            type: scale
        geom: line
        height: 2
        kind: Xy
        name: Storage Adapter Latency
        position: overlaid
        queries:
          - query: |-
                from(bucket: "vsphere")
                  |> range(start: v.timeRangeStart, stop: v.timeRangeStop)
                  |> filter(fn: (r) => r["_measurement"] == "vsphere_host_storageAdapter")
                  |> filter(fn: (r) => r["_field"] == "read_average" or r["_field"] == "write_average")
        width: 3
        xCol: _time
        xPos: 9
        yCol: _value
        yPos: 3

---

apiVersion: influxdata.com/v2alpha1
kind: Telegraf
metadata:
    name: vsphere
spec:
    config: |
        # Telegraf Configuration
        #
        # Telegraf is entirely plugin driven. All metrics are gathered from the
        # declared inputs, and sent to the declared outputs.
        #
        # Plugins must be declared in here to be active.
        # To deactivate a plugin, comment out the name and any variables.
        #
        # Use 'telegraf -config telegraf.conf -test' to see what metrics a config
        # file would generate.
        #
        # Environment variables can be used anywhere in this config file, simply surround
        # them with ${}. For strings the variable must be within quotes (ie, "${STR_VAR}"),
        # for numbers and booleans they should be plain (ie, ${INT_VAR}, ${BOOL_VAR})
        
        
        # Global tags can be specified here in key="value" format.
        [global_tags]
        # dc = "us-east-1" # will tag all metrics with dc=us-east-1
        # rack = "1a"
        ## Environment variables can be used as tags, and throughout the config file
        # user = "$USER"
        
        
        # Configuration for telegraf agent
        [agent]
        ## Default data collection interval for all inputs
        interval = "10s"
        ## Rounds collection interval to 'interval'
        ## ie, if interval="10s" then always collect on :00, :10, :20, etc.
        round_interval = true
        
        ## Telegraf will send metrics to outputs in batches of at most
        ## metric_batch_size metrics.
        ## This controls the size of writes that Telegraf sends to output plugins.
        metric_batch_size = 1000
        
        ## Maximum number of unwritten metrics per output.  Increasing this value
        ## allows for longer periods of output downtime without dropping metrics at the
        ## cost of higher maximum memory usage.
        metric_buffer_limit = 10000
        
        ## Collection jitter is used to jitter the collection by a random amount.
        ## Each plugin will sleep for a random time within jitter before collecting.
        ## This can be used to avoid many plugins querying things like sysfs at the
        ## same time, which can have a measurable effect on the system.
        collection_jitter = "0s"
        
        ## Default flushing interval for all outputs. Maximum flush_interval will be
        ## flush_interval + flush_jitter
        flush_interval = "10s"
        ## Jitter the flush interval by a random amount. This is primarily to avoid
        ## large write spikes for users running a large number of telegraf instances.
        ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
        flush_jitter = "0s"
        
        ## By default or when set to "0s", precision will be set to the same
        ## timestamp order as the collection interval, with the maximum being 1s.
        ##   ie, when interval = "10s", precision will be "1s"
        ##       when interval = "250ms", precision will be "1ms"
        ## Precision will NOT be used for service inputs. It is up to each individual
        ## service input to set the timestamp at the appropriate precision.
        ## Valid time units are "ns", "us" (or "µs"), "ms", "s".
        precision = ""
        
        ## Log at debug level.
        # debug = false
        ## Log only error level messages.
        # quiet = false
        
        ## Log target controls the destination for logs and can be one of "file",
        ## "stderr" or, on Windows, "eventlog".  When set to "file", the output file
        ## is determined by the "logfile" setting.
        # logtarget = "file"
        
        ## Name of the file to be logged to when using the "file" logtarget.  If set to
        ## the empty string then logs are written to stderr.
        # logfile = ""
        
        ## The logfile will be rotated after the time interval specified.  When set
        ## to 0 no time based rotation is performed.  Logs are rotated only when
        ## written to, if there is no log activity rotation may be delayed.
        # logfile_rotation_interval = "0d"
        
        ## The logfile will be rotated when it becomes larger than the specified
        ## size.  When set to 0 no size based rotation is performed.
        # logfile_rotation_max_size = "0MB"
        
        ## Maximum number of rotated archives to keep, any older logs are deleted.
        ## If set to -1, no archives are removed.
        # logfile_rotation_max_archives = 5
        
        ## Override default hostname, if empty use os.Hostname()
        hostname = ""
        ## If set to true, do no set the "host" tag in the telegraf agent.
        omit_hostname = false
        
        
        ###############################################################################
        #                            OUTPUT PLUGINS                                   #
        ###############################################################################

        [[outputs.influxdb_v2]]
          ## The URLs of the InfluxDB cluster nodes.
          ##
          ## Multiple URLs can be specified for a single cluster, only ONE of the
          ## urls will be written to each interval.
          ## urls exp: http://127.0.0.1:9999
          urls = ["$INFLUX_HOST"]

          ## Token for authentication.
          token = "$INFLUX_TOKEN"

          ## Organization is the name of the organization you wish to write to; must exist.
          organization = "$INFLUX_ORG"

          ## Destination bucket to write into.
          bucket = "$INFLUX_BUCKET"

        # 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://$VSPHERE_HOST/sdk" ]
          username = "$vsphere-user"
          password = "$vsphere-password"

          ## 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
          # 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 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

          ## 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 = ["*"]

          ## 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 = true