Kubernetes fields

Kubernetes metrics

kubernetes

Information and statistics of pods managed by kubernetes.

apiserver

Kubernetes API server metrics

kubernetes.apiserver.major.version: API Server major version.

type: keyword

kubernetes.apiserver.minor.version: API Server minor version.

type: keyword

kubernetes.apiserver.request.resource: Requested resource

type: keyword

kubernetes.apiserver.request.subresource: Requested subresource

type: keyword

kubernetes.apiserver.request.scope: Request scope (cluster, namespace, resource)

type: keyword

kubernetes.apiserver.request.verb: HTTP verb

type: keyword

kubernetes.apiserver.request.code: HTTP code

type: keyword

kubernetes.apiserver.request.content_type: Request HTTP content type

type: keyword

kubernetes.apiserver.request.dry_run: Wether the request uses dry run

type: keyword

kubernetes.apiserver.request.kind: Kind of request

type: keyword

kubernetes.apiserver.request.component: Component handling the request

type: keyword

kubernetes.apiserver.request.group: API group for the resource

type: keyword

kubernetes.apiserver.request.version: version for the group

type: keyword

kubernetes.apiserver.request.handler: Request handler

type: keyword

kubernetes.apiserver.request.method: HTTP method

type: keyword

kubernetes.apiserver.request.host: Request host

type: keyword

kubernetes.apiserver.process.cpu.sec: CPU seconds

type: double

kubernetes.apiserver.process.memory.resident.bytes: Bytes in resident memory

type: long

format: bytes

kubernetes.apiserver.process.memory.virtual.bytes: Bytes in virtual memory

type: long

format: bytes

kubernetes.apiserver.process.fds.open.count: Number of open file descriptors

type: long

kubernetes.apiserver.process.started.sec: Seconds since the process started

type: double

kubernetes.apiserver.watch.events.size.bytes.bucket.*: Watch event size distribution in bytes

type: object

kubernetes.apiserver.watch.events.size.bytes.sum: Sum of watch events sizes in bytes

type: long

format: bytes

kubernetes.apiserver.watch.events.size.bytes.count: Number of watch events

type: long

kubernetes.apiserver.watch.events.kind: Resource kind of the watch event

type: keyword

kubernetes.apiserver.response.size.bytes.bucket.*: Response size distribution in bytes for each group, version, verb, resource, subresource, scope and component.

type: object

kubernetes.apiserver.response.size.bytes.sum: Sum of responses sizes in bytes

type: long

format: bytes

kubernetes.apiserver.response.size.bytes.count: Number of responses to requests

type: long

kubernetes.apiserver.client.request.count: Number of requests as client

type: long

kubernetes.apiserver.request.count: Number of requests

type: long

kubernetes.apiserver.request.duration.us.sum: Request duration, sum in microseconds

type: long

kubernetes.apiserver.request.duration.us.count: Request duration, number of operations

type: long

kubernetes.apiserver.request.duration.us.bucket.*: Response latency distribution, histogram buckets

type: object

kubernetes.apiserver.request.current.count: Inflight requests

type: long

kubernetes.apiserver.request.longrunning.count: Number of requests active long running requests

type: long

kubernetes.apiserver.etcd.object.count: Number of kubernetes objects at etcd

type: long

kubernetes.apiserver.audit.event.count: Number of audit events

type: long

kubernetes.apiserver.audit.rejected.count: Number of audit rejected events

type: long

container

kubernetes container metrics

kubernetes.container.start_time: Start time

type: date

cpu

CPU usage metrics

kubernetes.container.cpu.usage.core.ns: Container CPU Core usage nanoseconds

type: double

kubernetes.container.cpu.usage.nanocores: CPU used nanocores

type: double

kubernetes.container.cpu.usage.node.pct: CPU usage as a percentage of the total node allocatable CPU

type: scaled_float

format: percent

kubernetes.container.cpu.usage.limit.pct: CPU usage as a percentage of the defined limit for the container (or total node allocatable CPU if unlimited). If the container CPU limits are missing and the node and state_node metricsets are both disabled on that node, this metric will be missing entirely.

type: scaled_float

format: percent

logs

Logs info

kubernetes.container.logs.available.bytes: Logs available capacity in bytes

type: double

format: bytes

kubernetes.container.logs.capacity.bytes: Logs total capacity in bytes

type: double

format: bytes

kubernetes.container.logs.used.bytes: Logs used capacity in bytes

type: double

format: bytes

kubernetes.container.logs.inodes.count: Total available inodes

type: double

kubernetes.container.logs.inodes.free: Total free inodes

type: double

kubernetes.container.logs.inodes.used: Total used inodes

type: double

kubernetes.container.memory.available.bytes: Total available memory

type: double

format: bytes

kubernetes.container.memory.usage.bytes: Total memory usage

type: double

format: bytes

kubernetes.container.memory.usage.node.pct: Memory usage as a percentage of the total node allocatable memory

type: scaled_float

format: percent

kubernetes.container.memory.usage.limit.pct: Memory usage as a percentage of the defined limit for the container (or total node allocatable memory if unlimited). If the container Memory limits are missing and the node and state_node metricsets are both disabled on that node, this metric will be missing entirely.

type: scaled_float

format: percent

kubernetes.container.memory.rss.bytes: RSS memory usage

type: double

format: bytes

kubernetes.container.memory.workingset.bytes: Working set memory usage

type: double

format: bytes

kubernetes.container.memory.workingset.limit.pct: Working set memory usage as a percentage of the defined limit for the container (or total node allocatable memory if unlimited)

type: scaled_float

format: percent

kubernetes.container.memory.pagefaults: Number of page faults

type: double

kubernetes.container.memory.majorpagefaults: Number of major page faults

type: double

kubernetes.container.rootfs.capacity.bytes: Root filesystem total capacity in bytes

type: double

format: bytes

kubernetes.container.rootfs.available.bytes: Root filesystem total available in bytes

type: double

format: bytes

kubernetes.container.rootfs.used.bytes: Root filesystem total used in bytes

type: double

format: bytes

kubernetes.container.rootfs.inodes.used: Used inodes

type: double

controllermanager

Controller manager metrics

kubernetes.controllermanager.verb: HTTP verb

type: keyword

kubernetes.controllermanager.code: HTTP code

type: keyword

kubernetes.controllermanager.method: HTTP method

type: keyword

kubernetes.controllermanager.host: HTTP host

type: keyword

kubernetes.controllermanager.name: Name for the resource

type: keyword

kubernetes.controllermanager.zone: Infrastructure zone

type: keyword

kubernetes.controllermanager.process.cpu.sec: Total user and system CPU time spent in seconds

type: double

kubernetes.controllermanager.process.memory.resident.bytes: Bytes in resident memory

type: long

format: bytes

kubernetes.controllermanager.process.memory.virtual.bytes: Bytes in virtual memory

type: long

format: bytes

kubernetes.controllermanager.process.fds.open.count: Number of open file descriptors

type: long

kubernetes.controllermanager.process.fds.max.count: Limit for open file descriptors

type: long

kubernetes.controllermanager.process.started.sec: Start time of the process since unix epoch in seconds

type: double

kubernetes.controllermanager.client.request.count: Number of HTTP requests to API server, broken down by status code, method and host

type: long

kubernetes.controllermanager.client.request.duration.us.sum: Sum of requests latency in microseconds, broken down by verb and host

type: long

kubernetes.controllermanager.client.request.duration.us.count: Number of request duration operations to API server, broken down by verb and host

type: long

kubernetes.controllermanager.client.request.duration.us.bucket.*: Requests latency distribution in histogram buckets, broken down by verb and host

type: object

kubernetes.controllermanager.client.request.size.bytes.sum: Requests size sum in bytes, broken down by verb and host

type: long

format: bytes

kubernetes.controllermanager.client.request.size.bytes.count: Number of requests, broken down by verb and host

type: long

kubernetes.controllermanager.client.request.size.bytes.bucket.*: Requests size distribution in histogram buckets, broken down by verb and host

type: object

kubernetes.controllermanager.client.response.size.bytes.count: Number of responses, broken down by verb and host

type: long

kubernetes.controllermanager.client.response.size.bytes.sum: Responses size sum in bytes, broken down by verb and host

type: long

format: bytes

kubernetes.controllermanager.client.response.size.bytes.bucket.*: Responses size distribution in histogram buckets, broken down by verb and host

type: object

kubernetes.controllermanager.workqueue.longestrunning.sec: How many seconds has the longest running processor been running, broken down by workqueue name

type: double

kubernetes.controllermanager.workqueue.unfinished.sec: How many seconds of work has done that is in progress and hasn’t been considered in the longest running processor, broken down by workqueue name

type: double

kubernetes.controllermanager.workqueue.adds.count: Workqueue add count, broken down by workqueue name

type: long

kubernetes.controllermanager.workqueue.depth.count: Workqueue current depth, broken down by workqueue name

type: long

kubernetes.controllermanager.workqueue.retries.count: Workqueue number of retries, broken down by workqueue name

type: long

kubernetes.controllermanager.node.collector.eviction.count: Number of node evictions, broken down by zone

type: long

kubernetes.controllermanager.node.collector.unhealthy.count: Number of unhealthy nodes, broken down by zone

type: long

kubernetes.controllermanager.node.collector.count: Number of nodes, broken down by zone

type: long

kubernetes.controllermanager.node.collector.health.pct: Percentage of healthy nodes, broken down by zone

type: long

kubernetes.controllermanager.leader.is_master: Whether the controller manager instance is leader

type: boolean

event

The Kubernetes events metricset collects events that are generated by objects running inside of Kubernetes

kubernetes.event.count: Count field records the number of times the particular event has occurred

type: long

kubernetes.event.timestamp.first_occurrence: Timestamp of first occurrence of event

type: date

kubernetes.event.timestamp.last_occurrence: Timestamp of last occurrence of event

type: date

kubernetes.event.message: Message recorded for the given event

type: text

kubernetes.event.reason: Reason recorded for the given event

type: keyword

kubernetes.event.type: Type of the given event

type: keyword

source

The component reporting this event

kubernetes.event.source.component: Component from which the event is generated

type: keyword

kubernetes.event.source.host: Node name on which the event is generated

type: keyword

metadata

Metadata associated with the given event

kubernetes.event.metadata.timestamp.created: Timestamp of creation of the given event

type: date

kubernetes.event.metadata.generate_name: Generate name of the event

type: keyword

kubernetes.event.metadata.name: Name of the event

type: keyword

kubernetes.event.metadata.namespace: Namespace in which event was generated

type: keyword

kubernetes.event.metadata.resource_version: Version of the event resource

type: keyword

kubernetes.event.metadata.uid: Unique identifier to the event object

type: keyword

kubernetes.event.metadata.self_link: URL representing the event

type: keyword

involved_object

Metadata associated with the given involved object

kubernetes.event.involved_object.api_version: API version of the object

type: keyword

kubernetes.event.involved_object.kind: API kind of the object

type: keyword

kubernetes.event.involved_object.name: name of the object

type: keyword

kubernetes.event.involved_object.resource_version: resource version of the object

type: keyword

kubernetes.event.involved_object.uid: UUID version of the object

type: keyword

node

kubernetes node metrics

kubernetes.node.start_time: Start time

type: date

cpu

CPU usage metrics

kubernetes.node.cpu.usage.core.ns: Node CPU Core usage nanoseconds

type: double

kubernetes.node.cpu.usage.nanocores: CPU used nanocores

type: double

kubernetes.node.memory.available.bytes: Total available memory

type: double

format: bytes

kubernetes.node.memory.usage.bytes: Total memory usage

type: double

format: bytes

kubernetes.node.memory.rss.bytes: RSS memory usage

type: double

format: bytes

kubernetes.node.memory.workingset.bytes: Working set memory usage

type: double

format: bytes

kubernetes.node.memory.pagefaults: Number of page faults

type: double

kubernetes.node.memory.majorpagefaults: Number of major page faults

type: double

kubernetes.node.network.rx.bytes: Received bytes on the default interface. If default interface is not defined, will be reported not correct value 0

type: double

format: bytes

kubernetes.node.network.rx.errors: Rx errors on the default interface. If default interface is not defined, will be reported not correct value 0

type: double

kubernetes.node.network.tx.bytes: Transmitted bytes on the default interface. If default interface is not defined, will be reported not correct value 0

type: double

format: bytes

kubernetes.node.network.tx.errors: Tx errors on the default interface. If default interface is not defined, will be reported not correct value 0

type: double

kubernetes.node.fs.capacity.bytes: Filesystem total capacity in bytes

type: double

format: bytes

kubernetes.node.fs.available.bytes: Filesystem total available in bytes

type: double

format: bytes

kubernetes.node.fs.used.bytes: Filesystem total used in bytes

type: double

format: bytes

kubernetes.node.fs.inodes.used: Number of used inodes

type: double

kubernetes.node.fs.inodes.count: Number of inodes

type: double

kubernetes.node.fs.inodes.free: Number of free inodes

type: double

kubernetes.node.runtime.imagefs.capacity.bytes: Image filesystem total capacity in bytes

type: double

format: bytes

kubernetes.node.runtime.imagefs.available.bytes: Image filesystem total available in bytes

type: double

format: bytes

kubernetes.node.runtime.imagefs.used.bytes: Image filesystem total used in bytes

type: double

format: bytes

pod

kubernetes pod metrics

kubernetes.pod.start_time: Start time

type: date

kubernetes.pod.network.rx.bytes: Received bytes

type: double

format: bytes

kubernetes.pod.network.rx.errors: Rx errors

type: double

kubernetes.pod.network.tx.bytes: Transmitted bytes

type: double

format: bytes

kubernetes.pod.network.tx.errors: Tx errors

type: double

cpu

CPU usage metrics

kubernetes.pod.cpu.usage.nanocores: CPU used nanocores

type: double

kubernetes.pod.cpu.usage.node.pct: CPU usage as a percentage of the total node CPU

type: scaled_float

format: percent

kubernetes.pod.cpu.usage.limit.pct: CPU usage as a percentage of the defined cpu limits sum of the pod containers. If any container is missing a limit the metric is not emitted.

type: scaled_float

format: percent

kubernetes.pod.memory.usage.bytes: Total memory usage

type: double

format: bytes

kubernetes.pod.memory.usage.node.pct: Memory usage as a percentage of the total node allocatable memory

type: scaled_float

format: percent

kubernetes.pod.memory.usage.limit.pct: Memory usage as a percentage of the defined memory limits sum of the pod containers. If any container is missing a limit the metric is not emitted.

type: scaled_float

format: percent

kubernetes.pod.memory.available.bytes: Total memory available

type: double

format: bytes

kubernetes.pod.memory.working_set.bytes: Total working set memory

type: double

format: bytes

kubernetes.pod.memory.working_set.limit.pct: Working set memory usage as a percentage of the defined limits sum of the pod containers. If any container is missing a limit the metric is not emitted.

type: scaled_float

format: percent

kubernetes.pod.memory.rss.bytes: Total resident set size memory

type: double

format: bytes

kubernetes.pod.memory.page_faults: Total page faults

type: double

kubernetes.pod.memory.major_page_faults: Total major page faults

type: double

proxy

Kubernetes proxy server metrics

kubernetes.proxy.code: HTTP code

type: keyword

kubernetes.proxy.method: HTTP method

type: keyword

kubernetes.proxy.host: HTTP host

type: keyword

kubernetes.proxy.verb: HTTP verb

type: keyword

kubernetes.proxy.process.cpu.sec: Total user and system CPU time spent in seconds

type: double

kubernetes.proxy.process.memory.resident.bytes: Bytes in resident memory

type: long

format: bytes

kubernetes.proxy.process.memory.virtual.bytes: Bytes in virtual memory

type: long

format: bytes

kubernetes.proxy.process.fds.open.count: Number of open file descriptors

type: long

kubernetes.proxy.process.fds.max.count: Limit for open file descriptors

type: long

kubernetes.proxy.process.started.sec: Start time of the process since unix epoch in seconds

type: double

kubernetes.proxy.client.request.count: Number of HTTP requests to API server, broken down by status code, method and host

type: long

kubernetes.proxy.client.request.duration.us.sum: Sum of requests latency in microseconds, broken down by verb and host

type: long

kubernetes.proxy.client.request.duration.us.count: Number of request duration operations to API server, broken down by verb and host

type: long

kubernetes.proxy.client.request.duration.us.bucket.*: Requests latency distribution in histogram buckets, broken down by verb and host

type: object

kubernetes.proxy.client.request.size.bytes.sum: Requests size sum in bytes, broken down by verb and host

type: long

format: bytes

kubernetes.proxy.client.request.size.bytes.count: Number of requests, broken down by verb and host

type: long

kubernetes.proxy.client.request.size.bytes.bucket.*: Requests size distribution in histogram buckets, broken down by verb and host

type: object

kubernetes.proxy.client.response.size.bytes.count: Number of responses, broken down by verb and host

type: long

kubernetes.proxy.client.response.size.bytes.sum: Responses size sum in bytes, broken down by verb and host

type: long

format: bytes

kubernetes.proxy.client.response.size.bytes.bucket.*: Responses size distribution in histogram buckets, broken down by verb and host

type: object

sync

kubeproxy proxy sync metrics

kubernetes.proxy.sync.rules.duration.us.sum: SyncProxyRules latency sum in microseconds

type: long

kubernetes.proxy.sync.rules.duration.us.count: Number of SyncProxyRules latency operations

type: long

kubernetes.proxy.sync.rules.duration.us.bucket.*: SyncProxyRules latency distribution in histogram buckets

type: object

kubernetes.proxy.sync.networkprogramming.duration.us.sum: Sum of network programming latency in microseconds

type: long

kubernetes.proxy.sync.networkprogramming.duration.us.count: Number of network programming latency operations

type: long

kubernetes.proxy.sync.networkprogramming.duration.us.bucket.*: Network programming latency distribution in histogram buckets

type: object

scheduler

Kubernetes scheduler metrics

kubernetes.scheduler.verb: HTTP verb

type: keyword

kubernetes.scheduler.host: HTTP host

type: keyword

kubernetes.scheduler.code: HTTP code

type: keyword

kubernetes.scheduler.method: HTTP method

type: keyword

kubernetes.scheduler.queue: Scheduling queue

type: keyword

kubernetes.scheduler.event: Scheduling event

type: keyword

kubernetes.scheduler.profile: Scheduling profile

type: keyword

kubernetes.scheduler.result: Attempt result to schedule pod

type: keyword

kubernetes.scheduler.name: Name for the resource

type: keyword

kubernetes.scheduler.leader.is_master: Whether the scheduler instance is leader

type: boolean

kubernetes.scheduler.process.cpu.sec: Total user and system CPU time spent in seconds

type: double

kubernetes.scheduler.process.memory.resident.bytes: Bytes in resident memory

type: long

format: bytes

kubernetes.scheduler.process.memory.virtual.bytes: Bytes in virtual memory

type: long

format: bytes

kubernetes.scheduler.process.fds.open.count: Number of open file descriptors

type: long

kubernetes.scheduler.process.fds.max.count: Limit for open file descriptors

type: long

kubernetes.scheduler.process.started.sec: Start time of the process since unix epoch in seconds

type: double

kubernetes.scheduler.client.request.count: Number of HTTP requests to API server, broken down by status code, method and host

type: long

kubernetes.scheduler.client.request.duration.us.sum: Sum of requests latency in microseconds, broken down by verb and host

type: long

kubernetes.scheduler.client.request.duration.us.count: Number of request duration operations to API server, broken down by verb and host

type: long

kubernetes.scheduler.client.request.duration.us.bucket.*: Requests latency distribution in histogram buckets, broken down by verb and host

type: object

kubernetes.scheduler.client.request.size.bytes.sum: Requests size sum in bytes, broken down by verb and host

type: long

format: bytes

kubernetes.scheduler.client.request.size.bytes.count: Number of requests, broken down by verb and host

type: long

kubernetes.scheduler.client.request.size.bytes.bucket.*: Requests size distribution in histogram buckets, broken down by verb and host

type: object

kubernetes.scheduler.client.response.size.bytes.count: Number of responses, broken down by verb and host

type: long

kubernetes.scheduler.client.response.size.bytes.sum: Responses size sum in bytes, broken down by verb and host

type: long

format: bytes

kubernetes.scheduler.client.response.size.bytes.bucket.*: Responses size distribution in histogram buckets, broken down by verb and host

type: object

kubernetes.scheduler.workqueue.longestrunning.sec: How many seconds has the longest running processor been running, broken down by workqueue name

type: double

kubernetes.scheduler.workqueue.unfinished.sec: How many seconds of work has done that is in progress and hasn’t been considered in the longest running processor, broken down by workqueue name

type: double

kubernetes.scheduler.workqueue.adds.count: Workqueue add count, broken down by workqueue name

type: long

kubernetes.scheduler.workqueue.depth.count: Workqueue current depth, broken down by workqueue name

type: long

kubernetes.scheduler.workqueue.retries.count: Workqueue number of retries, broken down by workqueue name

type: long

kubernetes.scheduler.scheduling.pending.pods.count: Number of current pending pods, broken down by the queue type

type: long

kubernetes.scheduler.scheduling.preemption.victims.bucket.*: Number of preemption victims distribution in histogram buckets

type: object

kubernetes.scheduler.scheduling.preemption.victims.sum: Preemption victims sum

type: long

kubernetes.scheduler.scheduling.preemption.victims.count: Number of preemption victims

type: long

kubernetes.scheduler.scheduling.preemption.attempts.count: Total preemption attempts in the cluster so far

type: long

kubernetes.scheduler.scheduling.attempts.duration.us.bucket.*: Scheduling attempt latency distribution in histogram buckets, broken down by profile and result

type: object

kubernetes.scheduler.scheduling.attempts.duration.us.sum: Sum of scheduling attempt latency in microseconds, broken down by profile and result

type: long

kubernetes.scheduler.scheduling.attempts.duration.us.count: Number of scheduling attempts, broken down by profile and result

type: long

container

kubernetes container metrics

kubernetes.container.id: Container id

type: keyword

kubernetes.container.status.phase: Container phase (running, waiting, terminated)

type: keyword

kubernetes.container.status.ready: Container ready status

type: boolean

kubernetes.container.status.restarts: Container restarts count

type: integer

kubernetes.container.status.reason: The reason the container is currently in waiting (ContainerCreating, CrashLoopBackoff, ErrImagePull, ImagePullBackoff) or terminated (Completed, ContainerCannotRun, Error, OOMKilled) state.

type: keyword

kubernetes.container.status.last_terminated_reason: The last reason the container was in terminated state (Completed, ContainerCannotRun, Error or OOMKilled).

type: keyword

kubernetes.container.status.last_terminated_timestamp: Last terminated time (epoch) of the container

type: double

kubernetes.container.cpu.limit.cores: Container CPU cores limit

type: float

kubernetes.container.cpu.request.cores: Container CPU requested cores

type: float

kubernetes.container.memory.limit.bytes: Container memory limit in bytes

type: long

format: bytes

kubernetes.container.memory.request.bytes: Container requested memory in bytes

type: long

format: bytes

cronjob

kubernetes cronjob metrics

kubernetes.cronjob.name: Cronjob name

type: keyword

kubernetes.cronjob.schedule: Cronjob schedule

type: keyword

kubernetes.cronjob.concurrency: Concurrency policy

type: keyword

kubernetes.cronjob.active.count: Number of active pods for the cronjob

type: long

kubernetes.cronjob.is_suspended: Whether the cronjob is suspended

type: boolean

kubernetes.cronjob.created.sec: Epoch seconds since the cronjob was created

type: double

kubernetes.cronjob.last_schedule.sec: Epoch seconds for last cronjob run

type: double

kubernetes.cronjob.next_schedule.sec: Epoch seconds for next cronjob run

type: double

kubernetes.cronjob.deadline.sec: Deadline seconds after schedule for considering failed

type: long

daemonset

Kubernetes DaemonSet metrics

kubernetes.daemonset.name: type: keyword

replicas

Kubernetes DaemonSet replica metrics

kubernetes.daemonset.replicas.available: The number of available replicas per DaemonSet

type: long

kubernetes.daemonset.replicas.desired: The desired number of replicas per DaemonSet

type: long

kubernetes.daemonset.replicas.ready: The number of ready replicas per DaemonSet

type: long

kubernetes.daemonset.replicas.unavailable: The number of unavailable replicas per DaemonSet

type: long

deployment

kubernetes deployment metrics

kubernetes.deployment.paused: Kubernetes deployment paused status

type: boolean

kubernetes.deployment.status.available: Deployment Available Condition status (true, false or unknown)

type: keyword

kubernetes.deployment.status.progressing: Deployment Progresing Condition status (true, false or unknown)

type: keyword

replicas

Kubernetes deployment replicas info

kubernetes.deployment.replicas.desired: Deployment number of desired replicas (spec)

type: integer

kubernetes.deployment.replicas.available: Deployment available replicas

type: integer

kubernetes.deployment.replicas.unavailable: Deployment unavailable replicas

type: integer

kubernetes.deployment.replicas.updated: Deployment updated replicas

type: integer

job

Kubernetes job metrics

kubernetes.job.name: The name of the job resource

type: keyword

pods

Pod metrics for the job

kubernetes.job.pods.active: Number of active pods

type: long

kubernetes.job.pods.failed: Number of failed pods

type: long

kubernetes.job.pods.succeeded: Number of successful pods

type: long

time

Kubernetes job timestamps

kubernetes.job.time.created: The time at which the job was created

type: date

kubernetes.job.time.completed: The time at which the job completed

type: date

completions

Kubernetes job completion settings

kubernetes.job.completions.desired: The configured completion count for the job (Spec)

type: long

parallelism

Kubernetes job parallelism settings

kubernetes.job.parallelism.desired: The configured parallelism of the job (Spec)

type: long

owner

Kubernetes job owner information

kubernetes.job.owner.name: The name of the resource that owns this job

type: keyword

kubernetes.job.owner.kind: The kind of resource that owns this job (eg. "CronJob")

type: keyword

kubernetes.job.owner.is_controller: Owner is controller ("true", "false", or "<none>")

type: keyword

status

Kubernetes job status information

kubernetes.job.status.complete: Whether the job completed ("true", "false", or "unknown")

type: keyword

kubernetes.job.status.failed: Whether the job failed ("true", "false", or "unknown")

type: keyword

state_namespace

Kubernetes namespace metrics.

kubernetes.state_namespace.created.sec: Unix creation timestamp.

type: double

kubernetes.state_namespace.status.active: Whether the namespace is active (true or false).

type: boolean

kubernetes.state_namespace.status.terminating: Whether the namespace is terminating (true or false).

type: boolean

node

kubernetes node metrics

kubernetes.node.status.ready: Node ready status (true, false or unknown)

type: keyword

kubernetes.node.status.unschedulable: Node unschedulable status

type: boolean

kubernetes.node.status.memory_pressure: Node MemoryPressure status (true, false or unknown)

type: keyword

kubernetes.node.status.disk_pressure: Node DiskPressure status (true, false or unknown)

type: keyword

kubernetes.node.status.out_of_disk: Node OutOfDisk status (true, false or unknown)

type: keyword

kubernetes.node.status.pid_pressure: Node PIDPressure status (true, false or unknown)

type: keyword

kubernetes.node.status.network_unavailable: Node NetworkUnavailable status (true, false or unknown)

type: keyword

kubernetes.node.cpu.allocatable.cores: The allocatable CPU cores of a node that are available for pods scheduling

type: float

kubernetes.node.cpu.capacity.cores: Node CPU capacity cores

type: long

kubernetes.node.memory.allocatable.bytes: The allocatable memory of a node in bytes that is available for pods scheduling

type: long

format: bytes

kubernetes.node.memory.capacity.bytes: Node memory capacity in bytes

type: long

format: bytes

kubernetes.node.pod.allocatable.total: Node allocatable pods

type: long

kubernetes.node.pod.capacity.total: Node pod capacity

type: long

kubernetes.node.kubelet.version: Kubelet version.

type: keyword

persistentvolume

kubernetes persistent volume metrics from kube-state-metrics

kubernetes.persistentvolume.name: Volume name.

type: keyword

kubernetes.persistentvolume.capacity.bytes: Volume capacity

type: long

kubernetes.persistentvolume.phase: Volume phase according to kubernetes

type: keyword

kubernetes.persistentvolume.storage_class: Storage class for the volume

type: keyword

persistentvolumeclaim

kubernetes persistent volume claim metrics from kube-state-metrics

kubernetes.persistentvolumeclaim.name: PVC name.

type: keyword

kubernetes.persistentvolumeclaim.volume_name: Binded volume name.

type: keyword

kubernetes.persistentvolumeclaim.request_storage.bytes: Requested capacity.

type: long

kubernetes.persistentvolumeclaim.phase: PVC phase.

type: keyword

kubernetes.persistentvolumeclaim.access_mode: Access mode.

type: keyword

kubernetes.persistentvolumeclaim.storage_class: Storage class for the PVC.

type: keyword

kubernetes.persistentvolumeclaim.created: PersistentVolumeClaim creation date

type: date

pod

kubernetes pod metrics

kubernetes.pod.host_ip: Kubernetes pod host IP

type: ip

status

Kubernetes pod status metrics

kubernetes.pod.status.phase: Kubernetes pod phase (Running, Pending…)

type: keyword

kubernetes.pod.status.ready: Kubernetes pod ready status (true, false or unknown)

type: keyword

kubernetes.pod.status.scheduled: Kubernetes pod scheduled status (true, false, unknown)

type: keyword

kubernetes.pod.status.reason: The reason the pod is in its current state (Evicted, NodeAffinity, NodeLost, Shutdown or UnexpectedAdmissionError)

type: keyword

kubernetes.pod.status.ready_time: Readiness achieved time in unix timestamp for a pod

type: double

replicaset

kubernetes replica set metrics

replicas

Kubernetes replica set paused status

kubernetes.replicaset.replicas.available: The number of replicas per ReplicaSet

type: long

kubernetes.replicaset.replicas.desired: The number of replicas per ReplicaSet

type: long

kubernetes.replicaset.replicas.ready: The number of ready replicas per ReplicaSet

type: long

kubernetes.replicaset.replicas.observed: The generation observed by the ReplicaSet controller

type: long

kubernetes.replicaset.replicas.labeled: The number of fully labeled replicas per ReplicaSet

type: long

resourcequota

kubernetes resourcequota metrics

kubernetes.resourcequota.created.sec: Epoch seconds since the ResourceQuota was created

type: double

kubernetes.resourcequota.quota: Quota informed (hard or used) for the resource

type: double

kubernetes.resourcequota.name: ResourceQuota name

type: keyword

kubernetes.resourcequota.type: Quota information type, hard or used

type: keyword

kubernetes.resourcequota.resource: Resource name the quota applies to

type: keyword

service

kubernetes service metrics

kubernetes.service.name: Service name.

type: keyword

kubernetes.service.cluster_ip: Internal IP for the service.

type: keyword

kubernetes.service.external_name: Service external DNS name

type: keyword

kubernetes.service.external_ip: Service external IP

type: keyword

kubernetes.service.load_balancer_ip: Load Balancer service IP

type: keyword

kubernetes.service.type: Service type

type: keyword

kubernetes.service.ingress_ip: Ingress IP

type: keyword

kubernetes.service.ingress_hostname: Ingress Hostname

type: keyword

kubernetes.service.created: Service creation date

type: date

statefulset

kubernetes stateful set metrics

kubernetes.statefulset.created: The creation timestamp (epoch) for StatefulSet

type: long

replicas

Kubernetes stateful set replicas status

kubernetes.statefulset.replicas.observed: The number of observed replicas per StatefulSet

type: long

kubernetes.statefulset.replicas.desired: The number of desired replicas per StatefulSet

type: long

kubernetes.statefulset.replicas.ready: The number of ready replicas per StatefulSet

type: long

generation

Kubernetes stateful set generation information

kubernetes.statefulset.generation.observed: The observed generation per StatefulSet

type: long

kubernetes.statefulset.generation.desired: The desired generation per StatefulSet

type: long

storageclass

kubernetes storage class metrics

kubernetes.storageclass.name: Storage class name.

type: keyword

kubernetes.storageclass.provisioner: Volume provisioner for the storage class.

type: keyword

kubernetes.storageclass.reclaim_policy: Reclaim policy for dynamically created volumes

type: keyword

kubernetes.storageclass.volume_binding_mode: Mode for default provisioning and binding

type: keyword

kubernetes.storageclass.created: Storage class creation date

type: date

system

kubernetes system containers metrics

kubernetes.system.container: Container name

type: keyword

kubernetes.system.start_time: Start time

type: date

cpu

CPU usage metrics

kubernetes.system.cpu.usage.core.ns: CPU Core usage nanoseconds

type: double

kubernetes.system.cpu.usage.nanocores: CPU used nanocores

type: double

kubernetes.system.memory.usage.bytes: Total memory usage

type: double

format: bytes

kubernetes.system.memory.rss.bytes: RSS memory usage

type: double

format: bytes

kubernetes.system.memory.workingset.bytes: Working set memory usage

type: double

format: bytes

kubernetes.system.memory.pagefaults: Number of page faults

type: double

kubernetes.system.memory.majorpagefaults: Number of major page faults

type: double

volume

kubernetes volume metrics

kubernetes.volume.name: Volume name

type: keyword

kubernetes.volume.fs.capacity.bytes: Filesystem total capacity in bytes

type: double

format: bytes

kubernetes.volume.fs.available.bytes: Filesystem total available in bytes

type: double

format: bytes

kubernetes.volume.fs.used.bytes: Filesystem total used in bytes

type: double

format: bytes

kubernetes.volume.fs.used.pct: Percentage of used storage

type: scaled_float

format: percent

kubernetes.volume.fs.inodes.used: Used inodes

type: double

kubernetes.volume.fs.inodes.free: Free inodes

type: double

kubernetes.volume.fs.inodes.count: Total inodes

type: double

kubernetes.volume.fs.inodes.pct: Percentage of used inodes

type: scaled_float

format: percent