Further Configure the Datadog Agent on Kubernetes

Docs > Container Monitoring > Kubernetes > Further Configure the Datadog Agent on Kubernetes

Overview

After you have installed the Datadog Agent in your Kubernetes environment, you may choose additional configuration options.

Enable APM and tracing

Edit your datadog-agent.yaml to set features.apm.enabled to true.

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    credentials:
      apiKey: <DATADOG_API_KEY>

  features:
    apm:
      enabled: true

After making your changes, apply the new configuration by using the following command:

kubectl apply -n $DD_NAMESPACE -f datadog-agent.yaml

In Helm, APM is enabled by default over UDS or Windows named pipe.

To verify, ensure that datadog.apm.socketEnabled is set to true in your values.yaml.

datadog:
  apm:
    socketEnabled: true

For more information, see Kubernetes Trace Collection.

Enable Kubernetes event collection

Use the Datadog Cluster Agent to collect Kubernetes events.

Event collection is enabled by default by the Datadog Operator. This can be managed in the configuration features.eventCollection.collectKubernetesEvents in your datadog-agent.yaml.

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    credentials:
      apiKey: <DATADOG_API_KEY>
    site: <DATADOG_SITE>

  features:
    eventCollection:
      collectKubernetesEvents: true

To collect Kubernetes events with the Datadog Cluster Agent, ensure that the clusterAgent.enabled, datadog.collectEvents and clusterAgent.rbac.create options are set to true in your datadog-values.yaml file.

datadog:
  collectEvents: true
clusterAgent:
  enabled: true
  rbac: 
    create: true

If you don’t want to use the Cluster Agent, you can still have a Node Agent collect Kubernetes events by setting datadog.leaderElection, datadog.collectEvents, and agents.rbac.create options to true in your datadog-values.yaml file.

datadog:
  leaderElection: true
  collectEvents: true
agents:
  rbac:
    create: true

For DaemonSet configuration, see DaemonSet Cluster Agent event collection.

Enable CNM collection

In your datadog-agent.yaml, set features.npm.enabled to true.

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    credentials:
      apiKey: <DATADOG_API_KEY>

  features:
    npm:
      enabled: true

Then apply the new configuration:

kubectl apply -n $DD_NAMESPACE -f datadog-agent.yaml

Update your datadog-values.yaml with the following configuration:

datadog:
  # (...)
  networkMonitoring:
    enabled: true

Then upgrade your Helm chart:

helm upgrade -f datadog-values.yaml <RELEASE_NAME> datadog/datadog

For more information, see Cloud Network Monitoring.

Enable log collection

In your datadog-agent.yaml, set features.logCollection.enabled and features.logCollection.containerCollectAll to true.

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    credentials:
      apiKey: <DATADOG_API_KEY>

  features:
    logCollection:
      enabled: true
      containerCollectAll: true

Then apply the new configuration:

kubectl apply -n $DD_NAMESPACE -f datadog-agent.yaml

Update your datadog-values.yaml with the following configuration:

datadog:
  # (...)
  logs:
    enabled: true
    containerCollectAll: true

Then upgrade your Helm chart:

helm upgrade -f datadog-values.yaml <RELEASE_NAME> datadog/datadog

For more information, see Kubernetes log collection.

Enable process collection

In your datadog-agent.yaml, set features.liveProcessCollection.enabled to true.

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    credentials:
      apiKey: <DATADOG_API_KEY>

  features:
    liveProcessCollection:
      enabled: true

Then apply the new configuration:

kubectl apply -n $DD_NAMESPACE -f datadog-agent.yaml

Update your datadog-values.yaml with the following configuration:

datadog:
  # (...)
  processAgent:
    enabled: true
    processCollection: true

Then upgrade your Helm chart:

helm upgrade -f datadog-values.yaml <RELEASE_NAME> datadog/datadog

For more information, see Live Processes

Datadog Cluster Agent

The Datadog Cluster Agent provides a streamlined, centralized approach to collecting cluster level monitoring data. Datadog strongly recommends using the Cluster Agent for monitoring Kubernetes.

The Datadog Operator v1.0.0+ and Helm chart v2.7.0+ enable the Cluster Agent by default. No further configuration is necessary.

The Datadog Operator v1.0.0+ enables the Cluster Agent by default. The Operator creates the necessary RBACs and deploys the Cluster Agent. Both Agents use the same API key.

The Operator automatically generates a random token in a Kubernetes Secret to be shared by the Datadog Agent and Cluster Agent for secure communication.

You can manually specify this token in the global.clusterAgentToken field in your datadog-agent.yaml:

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    credentials:
      apiKey: <DATADOG_API_KEY>
      appKey: <DATADOG_APP_KEY>
    clusterAgentToken: <DATADOG_CLUSTER_AGENT_TOKEN>

Alternatively, you can specify this token by referencing the name of an existing Secret and the data key containing this token:

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    credentials:
      apiKey: <DATADOG_API_KEY>
      appKey: <DATADOG_APP_KEY>
    clusterAgentTokenSecret: 
      secretName: <SECRET_NAME>
      keyName: <KEY_NAME>

Note: When set manually, this token must be 32 alphanumeric characters.

Then apply the new configuration:

kubectl apply -n $DD_NAMESPACE -f datadog-agent.yaml

Helm chart v2.7.0+ enables the Cluster Agent by default.

For verification, ensure that clusterAgent.enabled is set to true in your datadog-values.yaml:

clusterAgent:
  enabled: true

Helm automatically generates a random token in a Kubernetes Secret to be shared by the Datadog Agent and Cluster Agent for secure communication.

You can manually specify this token in the clusterAgent.token field in your datadog-agent.yaml:

clusterAgent:
  enabled: true
  token: <DATADOG_CLUSTER_AGENT_TOKEN>

Alternatively, you can specify this token by referencing the name of an existing Secret, where the token is in a key named token:

clusterAgent:
  enabled: true
  tokenExistingSecret: <SECRET_NAME>

For more information, see the Datadog Cluster Agent documentation.

Custom metrics server

To use the Cluster Agent’s custom metrics server feature, you must supply a Datadog application key and enable the metrics provider.

In datadog-agent.yaml, supply an application key under spec.global.credentials.appKey and set features.externalMetricsServer.enabled to true.

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    credentials:
      apiKey: <DATADOG_API_KEY>
      appKey: <DATADOG_APP_KEY>

  features:
    externalMetricsServer:
      enabled: true

Then apply the new configuration:

kubectl apply -n $DD_NAMESPACE -f datadog-agent.yaml

In datadog-values.yaml, supply an application key under datadog.appKey and set clusterAgent.metricsProvider.enabled to true.

datadog:
  apiKey: <DATADOG_API_KEY>
  appKey: <DATADOG_APP_KEY>

clusterAgent:
  enabled: true
  metricsProvider:
    enabled: true

Then upgrade your Helm chart:

helm upgrade -f datadog-values.yaml <RELEASE_NAME> datadog/datadog

Integrations

Once the Agent is up and running in your cluster, use Datadog’s Autodiscovery feature to collect metrics and logs automatically from your pods.

Containers view

To make use of Datadog’s Container Explorer, enable the Process Agent. The Datadog Operator and Helm chart enable the Process Agent by default. No further configuration is necessary.

The Datadog Operator enables the Process Agent by default.

For verification, ensure that features.liveContainerCollection.enabled is set to true in your datadog-agent.yaml:

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    credentials:
      apiKey: <DATADOG_API_KEY>
      appKey: <DATADOG_APP_KEY>
  features:
    liveContainerCollection:
      enabled: true

In some setups, the Process Agent and Cluster Agent cannot automatically detect a Kubernetes cluster name. If this happens, the feature does not start, and the following warning displays in the Cluster Agent log: Orchestrator explorer enabled but no cluster name set: disabling. In this case, you must set spec.global.clusterName to your cluster name in datadog-agent.yaml:

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    clusterName: <YOUR_CLUSTER_NAME>
    credentials:
      apiKey: <DATADOG_API_KEY>
      appKey: <DATADOG_APP_KEY>
  features:
    orchestratorExplorer:
      enabled: true

The Helm chart enables the Process Agent by default.

For verification, ensure that processAgent.enabled is set to true in your datadog-values.yaml:

datadog:
  # (...)
  processAgent:
    enabled: true

In some setups, the Process Agent and Cluster Agent cannot automatically detect a Kubernetes cluster name. If this happens, the feature does not start, and the following warning displays in the Cluster Agent log: Orchestrator explorer enabled but no cluster name set: disabling. In this case, you must set datadog.clusterName to your cluster name in datadog-values.yaml.

datadog:
  #(...)
  clusterName: <YOUR_CLUSTER_NAME>
  #(...)
  processAgent:
    enabled: true

For restrictions on valid cluster names, see Set cluster name.

See the Containers view documentation for additional information.

Orchestrator Explorer

The Datadog Operator and Helm chart enable Datadog’s Orchestrator Explorer by default. No further configuration is necessary.

The Orchestrator Explorer is enabled in the Datadog Operator by default.

For verification, ensure that the features.orchestratorExplorer.enabled parameter is set to true in your datadog-agent.yaml:

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    credentials:
      apiKey: <DATADOG_API_KEY>
      appKey: <DATADOG_APP_KEY>
  features:
    orchestratorExplorer:
      enabled: true

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    clusterName: <YOUR_CLUSTER_NAME>
    credentials:
      apiKey: <DATADOG_API_KEY>
      appKey: <DATADOG_APP_KEY>
  features:
    orchestratorExplorer:
      enabled: true

The Helm chart enables Orchestrator Explorer by default.

For verification, ensure that the orchestratorExplorer.enabled parameter is set to true in your datadog-values.yaml file:

datadog:
  # (...)
  processAgent:
    enabled: true
  orchestratorExplorer:
    enabled: true

In some setups, the Process Agent and Cluster Agent cannot automatically detect a Kubernetes cluster name. If this happens, the feature does not start, and the following warning displays in the Cluster Agent log: Orchestrator explorer enabled but no cluster name set: disabling. In this case, you must set datadog.clusterName to your cluster name in values.yaml.

datadog:
  #(...)
  clusterName: <YOUR_CLUSTER_NAME>
  #(...)
  processAgent:
    enabled: true
  orchestratorExplorer:
    enabled: true

For restrictions on valid cluster names, see Set cluster name.

See the Orchestrator Explorer documentation for additional information.

Basic configuration

Use the following configuration fields to configure the Datadog Agent.

Parameter (v2alpha1)	Description
`global.credentials.apiKey`	Configures your Datadog API key.
`global.credentials.apiSecret.secretName`	Instead of `global.credentials.apiKey`, supply the name of a Kubernetes `Secret` containing your Datadog API key.
`global.credentials.apiSecret.keyName`	Instead of `global.credentials.apiKey`, supply the key of the Kubernetes `Secret` named in `global.credentials.apiSecret.secretName`.
`global.credentials.appKey`	Configures your Datadog application key. If you are using the external metrics server, you must set a Datadog application key for read access to your metrics.
`global.credentials.appSecret.secretName`	Instead of `global.credentials.apiKey`, supply the name of a Kubernetes `Secret` containing your Datadog app key.
`global.credentials.appSecret.keyName`	Instead of `global.credentials.apiKey`, supply the key of the Kubernetes `Secret` named in `global.credentials.appSecret.secretName`.
`global.logLevel`	Sets logging verbosity. This can be overridden by the container. Valid log levels are: `trace`, `debug`, `info`, `warn`, `error`, `critical`, and `off`. Default: `info`.
`global.registry`	Image registry to use for all Agent images. Default: `gcr.io/datadoghq`.
`global.site`	Sets the Datadog intake site to which Agent data is sent. Your site is . (Ensure the correct SITE is selected on the right).
`global.tags`	A list of tags to attach to every metric, event, and service check collected.

For a complete list of configuration fields for the Datadog Operator, see the Operator v2alpha1 spec. For older versions, see Migrate DatadogAgent CRDs to v2alpha1. Configuration fields can also be queried using kubectl explain datadogagent --recursive.

Helm	Description
`datadog.apiKey`	Configures your Datadog API key.
`datadog.apiKeyExistingSecret`	Instead of `datadog.apiKey`, supply the name of an existing Kubernetes `Secret` containing your Datadog API key, set with the key name `api-key`.
`datadog.appKey`	Configures your Datadog application key. If you are using the external metrics server, you must set a Datadog application key for read access to your metrics.
`datadog.appKeyExistingSecret`	Instead of `datadog.appKey`, supply the name of an existing Kubernetes `Secret` containing your Datadog app key, set with the key name `app-key`.
`datadog.logLevel`	Sets logging verbosity. This can be overridden by the container. Valid log levels are: `trace`, `debug`, `info`, `warn`, `error`, `critical`, and `off`. Default: `info`.
`registry`	Image registry to use for all Agent images. Default: `gcr.io/datadoghq`.
`datadog.site`	Sets the Datadog intake site to which Agent data is sent. Your site is . (Ensure the correct SITE is selected on the right).
`datadog.tags`	A list of tags to attach to every metric, event, and service check collected.

For a complete list of environment variables for the Helm chart, see the full list of options for datadog-values.yaml.

Env Variable	Description
`DD_API_KEY`	Your Datadog API key (required)
`DD_ENV`	Sets the global `env` tag for all data emitted.
`DD_HOSTNAME`	Hostname to use for metrics (if autodetection fails)
`DD_TAGS`	Host tags separated by spaces. For example: `simple-tag-0 tag-key-1:tag-value-1`
`DD_SITE`	Destination site for your metrics, traces, and logs. Your `DD_SITE` is . Defaults to `datadoghq.com`.
`DD_DD_URL`	Optional setting to override the URL for metric submission.
`DD_URL` (6.36+/7.36+)	Alias for `DD_DD_URL`. Ignored if `DD_DD_URL` is already set.
`DD_CHECK_RUNNERS`	The Agent runs all checks concurrently by default (default value = `4` runners). To run the checks sequentially, set the value to `1`. If you need to run a high number of checks (or slow checks) the `collector-queue` component might fall behind and fail the healthcheck. You can increase the number of runners to run checks in parallel.
`DD_LEADER_ELECTION`	If multiple instances of the Agent are running in your cluster, set this variable to `true` to avoid the duplication of event collection.

Environment variables

The containerized Datadog Agent can be configured by using environment variables. For an extensive list of supported environment variables, see the Environment variables section of the Docker Agent documentation.

Examples

When using the Datadog Operator, you can set additional environment variables in override for a component with [key].env []object, or for a container with [key].containers.[key].env []object. The following keys are supported:

nodeAgent
clusterAgent
clusterChecksRunner

Container-level settings take priority over any component-level settings.

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  override:
    nodeAgent:
      env:
        - name: <ENV_VAR_NAME>
          value: <ENV_VAR_VALUE>
    clusterAgent:
      containers:
        cluster-agent:
          env:
            - name: <ENV_VAR_NAME>
              value: <ENV_VAR_VALUE>

datadog:
  env:
  - name: <ENV_VAR_NAME>
    value: <ENV_VAR_VALUE>
clusterAgent:
  env:
  - name: <ENV_VAR_NAME>
    value: <ENV_VAR_VALUE>

Add environment variables to the DaemonSet or Deployment (for Datadog Cluster Agent).

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: datadog
spec:
  template:
    spec:
      containers:
        - name: agent
          ...
          env:
            - name: <ENV_VAR_NAME>
              value: <ENV_VAR_VALUE>

Configure DogStatsD

DogStatsD can send custom metrics over UDP with the StatsD protocol. DogStatsD is enabled by default by the Datadog Operator and Helm. See the DogStatsD documentation for more information.

You can use the following environment variables to configure DogStatsD with DaemonSet:

Env Variable	Description
`DD_DOGSTATSD_NON_LOCAL_TRAFFIC`	Listen to DogStatsD packets from other containers (required to send custom metrics).
`DD_HISTOGRAM_PERCENTILES`	The histogram percentiles to compute (separated by spaces). The default is `0.95`.
`DD_HISTOGRAM_AGGREGATES`	The histogram aggregates to compute (separated by spaces). The default is `"max median avg count"`.
`DD_DOGSTATSD_SOCKET`	Path to the Unix socket to listen to. Must be in a `rw` mounted volume.
`DD_DOGSTATSD_ORIGIN_DETECTION`	Enable container detection and tagging for Unix socket metrics.
`DD_DOGSTATSD_TAGS`	Additional tags to append to all metrics, events, and service checks received by this DogStatsD server, for example: `"env:golden group:retrievers"`.

Configure tag mapping

Datadog automatically collects common tags from Kubernetes.

In addition, you can map Kubernetes node labels, pod labels, and annotations to Datadog tags. Use the following environment variables to configure this mapping:

Parameter (v2alpha1)	Description
`global.namespaceLabelsAsTags`	Provide a mapping of Kubernetes namespace labels to Datadog tags. `<KUBERNETES_NAMESPACE_LABEL>: <DATADOG_TAG_KEY>`
`global.nodeLabelsAsTags`	Provide a mapping of Kubernetes node labels to Datadog tags. `<KUBERNETES_NODE_LABEL>: <DATADOG_TAG_KEY>`
`global.podAnnotationsAsTags`	Provide a mapping of Kubernetes Annotations to Datadog tags. `<KUBERNETES_ANNOTATION>: <DATADOG_TAG_KEY>`
`global.podLabelsAsTags`	Provide a mapping of Kubernetes labels to Datadog tags. `<KUBERNETES_LABEL>: <DATADOG_TAG_KEY>`

Examples

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    credentials:
      apiKey: <DATADOG_API_KEY>
    namespaceLabelsAsTags:
      env: environment
      # <KUBERNETES_NAMESPACE_LABEL>: <DATADOG_TAG_KEY>
    nodeLabelsAsTags:
      beta.kubernetes.io/instance-type: aws-instance-type
      kubernetes.io/role: kube_role
      # <KUBERNETES_NODE_LABEL>: <DATADOG_TAG_KEY>
    podLabelsAsTags:
      app: kube_app
      release: helm_release
      # <KUBERNETES_LABEL>: <DATADOG_TAG_KEY>
    podAnnotationsAsTags:
      iam.amazonaws.com/role: kube_iamrole
       # <KUBERNETES_ANNOTATIONS>: <DATADOG_TAG_KEY>

Helm	Description
`datadog.namespaceLabelsAsTags`	Provide a mapping of Kubernetes namespace labels to Datadog tags. `<KUBERNETES_NAMESPACE_LABEL>: <DATADOG_TAG_KEY>`
`datadog.nodeLabelsAsTags`	Provide a mapping of Kubernetes node labels to Datadog tags. `<KUBERNETES_NODE_LABEL>: <DATADOG_TAG_KEY>`
`datadog.podAnnotationsAsTags`	Provide a mapping of Kubernetes Annotations to Datadog tags. `<KUBERNETES_ANNOTATION>: <DATADOG_TAG_KEY>`
`datadog.podLabelsAsTags`	Provide a mapping of Kubernetes labels to Datadog tags. `<KUBERNETES_LABEL>: <DATADOG_TAG_KEY>`

Examples

datadog:
  # (...)
  namespaceLabelsAsTags:
    env: environment
    # <KUBERNETES_NAMESPACE_LABEL>: <DATADOG_TAG_KEY>
  nodeLabelsAsTags:
    beta.kubernetes.io/instance-type: aws-instance-type
    kubernetes.io/role: kube_role
    # <KUBERNETES_NODE_LABEL>: <DATADOG_TAG_KEY>
  podLabelsAsTags:
    app: kube_app
    release: helm_release
    # <KUBERNETES_LABEL>: <DATADOG_TAG_KEY>
  podAnnotationsAsTags:
    iam.amazonaws.com/role: kube_iamrole
     # <KUBERNETES_ANNOTATIONS>: <DATADOG_TAG_KEY>

Using secret files

Integration credentials can be stored in Docker or Kubernetes secrets and used in Autodiscovery templates. For more information, see Secrets Management.

Ignore containers

Exclude containers from logs collection, metrics collection, and Autodiscovery. Datadog excludes Kubernetes and OpenShift pause containers by default. These allowlists and blocklists apply to Autodiscovery only; traces and DogStatsD are not affected. These environment variables support regular expressions in their values.

See the Container Discover Management page for examples.

Note: The kubernetes.containers.running, kubernetes.pods.running, docker.containers.running, .stopped, .running.total and .stopped.total metrics are not affected by these settings. All containers are counted.

Kubernetes API server timeout

By default, the Kubernetes State Metrics Core check waits 10 seconds for a response from the Kubernetes API server. For large clusters, the request may time out, resulting in missing metrics.

You can avoid this by setting the environment variable DD_KUBERNETES_APISERVER_CLIENT_TIMEOUT to a higher value than the default 10 seconds.

Update your datadog-agent.yaml with the following configuration:

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  override:
    clusterAgent:
      env:
        - name: DD_KUBERNETES_APISERVER_CLIENT_TIMEOUT
          value: <value_greater_than_10>

Then apply the new configuration:

kubectl apply -n $DD_NAMESPACE -f datadog-agent.yaml

Update your datadog-values.yaml with the following configuration:

clusterAgent:
  env:
    - name: DD_KUBERNETES_APISERVER_CLIENT_TIMEOUT
      value: <value_greater_than_10>

Then upgrade your Helm chart:

helm upgrade -f datadog-values.yaml <RELEASE_NAME> datadog/datadog

Proxy settings

Starting with Agent v6.4.0 (and v6.5.0 for the Trace Agent), you can override the Agent proxy settings with the following environment variables:

Env Variable	Description
`DD_PROXY_HTTP`	An HTTP URL to use as a proxy for `http` requests.
`DD_PROXY_HTTPS`	An HTTPS URL to use as a proxy for `https` requests.
`DD_PROXY_NO_PROXY`	A space-separated list of URLs for which no proxy should be used.
`DD_SKIP_SSL_VALIDATION`	An option to test if the Agent is having issues connecting to Datadog.

Set cluster name

Some capabilities require that you set a Kubernetes cluster name. A valid cluster name must be unique and dot-separated, with the following restrictions:

Can contain only lowercase letters, numbers, and hyphens
Must start with a letter
Overall length is less than or equal to 80 characters

Set spec.global.clusterName to your cluster name in datadog-agent.yaml:

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
spec:
  global:
    clusterName: <YOUR_CLUSTER_NAME>

Set datadog.clusterName to your cluster name in datadog-values.yaml.

datadog:
  #(...)
  clusterName: <YOUR_CLUSTER_NAME>

Autodiscovery

Env Variable	Description
`DD_LISTENERS`	Autodiscovery listeners to run.
`DD_EXTRA_LISTENERS`	Additional Autodiscovery listeners to run. They are added in addition to the variables defined in the `listeners` section of the `datadog.yaml` configuration file.
`DD_CONFIG_PROVIDERS`	The providers the Agent should call to collect checks configurations. Available providers are: `kubelet` - Handles templates embedded in pod annotations. `docker` - Handles templates embedded in container labels. `clusterchecks` - Retrieves cluster-level check configurations from the Cluster Agent. `kube_services` - Watches Kubernetes services for cluster checks.
`DD_EXTRA_CONFIG_PROVIDERS`	Additional Autodiscovery configuration providers to use. They are added in addition to the variables defined in the `config_providers` section of the `datadog.yaml` configuration file.

Miscellaneous

Env Variable	Description
`DD_PROCESS_AGENT_CONTAINER_SOURCE`	Overrides container source auto-detection to force a single source. e.g `"docker"`, `"ecs_fargate"`, `"kubelet"`. This is no longer needed since Agent v7.35.0.
`DD_HEALTH_PORT`	Set this to `5555` to expose the Agent health check at port `5555`.
`DD_CLUSTER_NAME`	Set a custom Kubernetes cluster identifier to avoid host alias collisions. The cluster name can be up to 40 characters with the following restrictions: Lowercase letters, numbers, and hyphens only. Must start with a letter. Must end with a number or a letter.
`DD_COLLECT_KUBERNETES_EVENTS`	Enable event collection with the Agent. If you are running multiple instances of the Agent in your cluster, set `DD_LEADER_ELECTION` to `true` as well.

Further Configure the Datadog Agent on Kubernetes

Overview

Enable Datadog to collect:

Other capabilities

More configurations

Enable APM and tracing

Enable Kubernetes event collection

Enable CNM collection

Enable log collection

Enable process collection

Datadog Cluster Agent

Custom metrics server

Integrations

Containers view

Orchestrator Explorer

Basic configuration

Environment variables

Examples

Configure DogStatsD

Configure tag mapping

Examples

Examples

Using secret files

Ignore containers

Kubernetes API server timeout

Proxy settings

Set cluster name

Autodiscovery

Miscellaneous