What is an Elastic integration?

This integration is powered by Elastic Agent. Elastic Agent is a single, unified way to add monitoring for logs, metrics, and other types of data to a host. It can also protect hosts from security threats, query data from operating systems, forward data from remote services or hardware, and more. Refer to our documentation for a detailed comparison between Beats and Elastic Agent.

Prefer to use Beats for this use case? See Filebeat modules for logs or Metricbeat modules for metrics.

Metrics

scheduler

This is the scheduler dataset of the Kubernetes package. It collects metrics from Kubernetes Scheduler component.

An example event for scheduler looks as following:

{
    "kubernetes": {
        "scheduler": {
            "name": "DynamicConfigMapCABundle-client-ca",
            "workqueue": {
                "retries": {
                    "count": 0
                },
                "depth": {
                    "count": 0
                },
                "unfinished": {
                    "sec": 0
                },
                "longestrunning": {
                    "sec": 0
                },
                "adds": {
                    "count": 12
                }
            }
        }
    },
    "orchestrator": {
        "cluster": {
            "name": "kind",
            "url": "kind-control-plane:6443"
        }
    },
    "agent": {
        "name": "kind-control-plane",
        "id": "ee1d778a-e607-4c29-b152-f6e83e606966",
        "type": "metricbeat",
        "ephemeral_id": "084bb5dd-df70-4127-9a52-47fae69de446",
        "version": "8.7.0"
    },
    "@timestamp": "2023-01-10T15:10:33.424Z",
    "ecs": {
        "version": "8.0.0"
    },
    "data_stream": {
        "namespace": "default",
        "type": "metrics",
        "dataset": "kubernetes.scheduler"
    },
    "service": {
        "address": "https://0.0.0.0:10259/metrics",
        "type": "kubernetes"
    },
    "elastic_agent": {
        "id": "ee1d778a-e607-4c29-b152-f6e83e606966",
        "version": "8.7.0",
        "snapshot": true
    },
    "host": {
        "hostname": "kind-control-plane",
        "os": {
            "kernel": "5.15.49-linuxkit",
            "codename": "focal",
            "name": "Ubuntu",
            "type": "linux",
            "family": "debian",
            "version": "20.04.5 LTS (Focal Fossa)",
            "platform": "ubuntu"
        },
        "ip": [
            "10.244.0.1",
            "10.244.0.1",
            "10.244.0.1",
            "172.20.0.2",
            "172.18.0.2",
            "fc00:f853:ccd:e793::2",
            "fe80::42:acff:fe12:2"
        ],
        "containerized": false,
        "name": "kind-control-plane",
        "id": "1c1d736687984c73b6a5f77c1464d4da",
        "mac": [
            "02-42-AC-12-00-02",
            "02-42-AC-14-00-02",
            "6E-87-97-B3-C4-A1",
            "7E-2B-73-DA-CF-B7",
            "F2-54-31-F4-76-AB"
        ],
        "architecture": "x86_64"
    },
    "metricset": {
        "period": 10000,
        "name": "scheduler"
    },
    "event": {
        "duration": 21808836,
        "agent_id_status": "verified",
        "ingested": "2023-01-10T15:10:37Z",
        "module": "kubernetes",
        "dataset": "kubernetes.scheduler"
    }
}

Exported fields

FieldDescriptionTypeUnitMetric Type
@timestamp
Event timestamp.
date
cloud.account.id
The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier.
keyword
cloud.availability_zone
Availability zone in which this host is running.
keyword
cloud.image.id
Image ID for the cloud instance.
keyword
cloud.instance.id
Instance ID of the host machine.
keyword
cloud.instance.name
Instance name of the host machine.
keyword
cloud.machine.type
Machine type of the host machine.
keyword
cloud.project.id
Name of the project in Google Cloud.
keyword
cloud.provider
Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean.
keyword
cloud.region
Region in which this host is running.
keyword
container.id
Unique container id.
keyword
container.image.name
Name of the image the container was built on.
keyword
container.labels
Image labels.
object
container.name
Container name.
keyword
data_stream.dataset
Data stream dataset.
constant_keyword
data_stream.namespace
Data stream namespace.
constant_keyword
data_stream.type
Data stream type.
constant_keyword
ecs.version
ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events.
keyword
host.architecture
Operating system architecture.
keyword
host.containerized
If the host is a container.
boolean
host.domain
Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider.
keyword
host.hostname
Hostname of the host. It normally contains what the hostname command returns on the host machine.
keyword
host.id
Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name.
keyword
host.ip
Host ip addresses.
ip
host.mac
Host mac addresses.
keyword
host.name
Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name, or a name specified by the user. The sender decides which value to use.
keyword
host.os.build
OS build information.
keyword
host.os.codename
OS codename, if any.
keyword
host.os.family
OS family (such as redhat, debian, freebsd, windows).
keyword
host.os.kernel
Operating system kernel version as a raw string.
keyword
host.os.name
Operating system name, without the version.
keyword
host.os.name.text
Multi-field of host.os.name.
text
host.os.platform
Operating system platform (such centos, ubuntu, windows).
keyword
host.os.version
Operating system version as a raw string.
keyword
host.type
Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment.
keyword
kubernetes.annotations.*
Kubernetes annotations map
object
kubernetes.container.image
Kubernetes container image
keyword
kubernetes.container.name
Kubernetes container name
keyword
kubernetes.deployment.name
Kubernetes deployment name
keyword
kubernetes.labels.*
Kubernetes labels map
object
kubernetes.namespace
Kubernetes namespace
keyword
kubernetes.node.hostname
Kubernetes hostname as reported by the node’s kernel
keyword
kubernetes.node.name
Kubernetes node name
keyword
kubernetes.pod.ip
Kubernetes pod IP
ip
kubernetes.pod.name
Kubernetes pod name
keyword
kubernetes.pod.uid
Kubernetes pod UID
keyword
kubernetes.replicaset.name
Kubernetes replicaset name
keyword
kubernetes.scheduler.client.request.count
Number of HTTP requests to API server, broken down by status code, method and host
long
counter
kubernetes.scheduler.client.request.duration.us.bucket.*
Requests latency distribution in histogram buckets, broken down by verb and host
object
kubernetes.scheduler.client.request.duration.us.count
Number of request duration operations to API server, broken down by verb and host
long
counter
kubernetes.scheduler.client.request.duration.us.sum
Sum of requests latency in microseconds, broken down by verb and host
long
micros
counter
kubernetes.scheduler.client.request.size.bytes.bucket.*
Requests size distribution in histogram buckets, broken down by verb and host
object
kubernetes.scheduler.client.request.size.bytes.count
Number of requests, broken down by verb and host
long
counter
kubernetes.scheduler.client.request.size.bytes.sum
Requests size sum in bytes, broken down by verb and host
long
byte
counter
kubernetes.scheduler.client.response.size.bytes.bucket.*
Responses size distribution in histogram buckets, broken down by verb and host
object
kubernetes.scheduler.client.response.size.bytes.count
Number of responses, broken down by verb and host
long
counter
kubernetes.scheduler.client.response.size.bytes.sum
Responses size sum in bytes, broken down by verb and host
long
byte
counter
kubernetes.scheduler.code
HTTP code
keyword
kubernetes.scheduler.event
Scheduling event
keyword
kubernetes.scheduler.host
HTTP host
keyword
kubernetes.scheduler.leader.is_master
Whether the scheduler instance is leader
boolean
kubernetes.scheduler.method
HTTP method
keyword
kubernetes.scheduler.name
Name for the resource
keyword
kubernetes.scheduler.process.cpu.sec
Total user and system CPU time spent in seconds
double
counter
kubernetes.scheduler.process.fds.max.count
Limit for open file descriptors
long
gauge
kubernetes.scheduler.process.fds.open.count
Number of open file descriptors
long
gauge
kubernetes.scheduler.process.memory.resident.bytes
Bytes in resident memory
long
byte
gauge
kubernetes.scheduler.process.memory.virtual.bytes
Bytes in virtual memory
long
byte
gauge
kubernetes.scheduler.process.started.sec
Start time of the process since unix epoch in seconds
double
gauge
kubernetes.scheduler.profile
Scheduling profile
keyword
kubernetes.scheduler.queue
Scheduling queue
keyword
kubernetes.scheduler.result
Attempt result to schedule pod
keyword
kubernetes.scheduler.scheduling.attempts.duration.us.bucket.*
Scheduling attempt latency distribution in histogram buckets, broken down by profile and result
object
kubernetes.scheduler.scheduling.attempts.duration.us.count
Number of scheduling attempts, broken down by profile and result
long
counter
kubernetes.scheduler.scheduling.attempts.duration.us.sum
Sum of scheduling attempt latency in microseconds, broken down by profile and result
long
micros
counter
kubernetes.scheduler.scheduling.pending.pods.count
Number of current pending pods, broken down by the queue type
long
gauge
kubernetes.scheduler.scheduling.preemption.attempts.count
Total preemption attempts in the cluster so far
long
counter
kubernetes.scheduler.scheduling.preemption.victims.bucket.*
Number of preemption victims distribution in histogram buckets
object
kubernetes.scheduler.scheduling.preemption.victims.count
Number of preemption victims
long
counter
kubernetes.scheduler.scheduling.preemption.victims.sum
Preemption victims sum
long
counter
kubernetes.scheduler.verb
HTTP verb
keyword
kubernetes.scheduler.workqueue.adds.count
Workqueue add count, broken down by workqueue name
long
counter
kubernetes.scheduler.workqueue.depth.count
Workqueue current depth, broken down by workqueue name
long
gauge
kubernetes.scheduler.workqueue.longestrunning.sec
How many seconds has the longest running processor been running, broken down by workqueue name
double
gauge
kubernetes.scheduler.workqueue.retries.count
Workqueue number of retries, broken down by workqueue name
long
counter
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
double
gauge
kubernetes.selectors.*
Kubernetes Service selectors map
object
kubernetes.statefulset.name
Kubernetes statefulset name
keyword
orchestrator.cluster.name
Name of the cluster.
keyword
orchestrator.cluster.url
URL of the API used to manage the cluster.
keyword
service.address
Address where data about this service was collected from. This should be a URI, network address (ipv4:port or [ipv6]:port) or a resource path (sockets).
keyword
service.type
The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch.
keyword