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## Default values for Datadog Agent
## See Datadog helm documentation to learn more:
## https://docs.datadoghq.com/agent/kubernetes/helm/
## FOR AN EFFORTLESS UPGRADE PATH, DO NOT COPY THIS FILE AS YOUR OWN values.yaml.
## ONLY SET THE VALUES YOU WANT TO OVERRIDE IN YOUR values.yaml.
# global.apmRegistryAllowList -- Restrict which registries can be used for APM library injection.
## When non-empty, only libraries from the listed registries will be injected. Enforced by both the
## admission controller webhook and the CSI driver. An empty list allows all registries (default).
global:
apmRegistryAllowList: []
# - public.ecr.aws/datadog
# - gcr.io/datadoghq
# nameOverride -- Override name of app
nameOverride: # ""
# fullnameOverride -- Override the full qualified app name
fullnameOverride: # ""
# kubeVersionOverride -- Override Kubernetes version detection. Useful for GitOps tools like FluxCD that don't expose the real cluster version to Helm
kubeVersionOverride: # "1.28.0"
# targetSystem -- Target OS for this deployment (possible values: linux, windows)
targetSystem: "linux"
# commonLabels -- Labels to apply to all resources
commonLabels: {}
# team_name: dev
# registry -- Registry to use for all Agent images (default depends on datadog.site and registryMigrationMode values)
## Currently we offer Datadog Agent images on:
## Datadog - use registry.datadoghq.com
## GCR US - use gcr.io/datadoghq
## GCR Europe - use eu.gcr.io/datadoghq
## GCR Asia - use asia.gcr.io/datadoghq
## Azure - use datadoghq.azurecr.io
## AWS - use public.ecr.aws/datadog
## DockerHub - use docker.io/datadog
## If you are on GKE Autopilot, you must use a gcr.io variant registry.
registry: # gcr.io/datadoghq
# registryMigrationMode -- Controls gradual migration of default image registry to
# registry.datadoghq.com, replacing site-specific regional mirrors (GCR, ACR).
# This setting has no effect when `registry` is explicitly set.
# GKE Autopilot and GKE GDC clusters are excluded and always use their site-specific gcr.io variant.
# US1-FED (ddog-gov.com) is excluded and always uses public.ecr.aws/datadog.
# US3 (us3.datadoghq.com) is excluded and always uses datadoghq.azurecr.io.
## "auto" (default): enable registry.datadoghq.com for sites where migration is rolled out.
## Currently enabled: AP1 (ap1.datadoghq.com), AP2 (ap2.datadoghq.com), US5 (us5.datadoghq.com), EU1 (datadoghq.eu), US1 (datadoghq.com, when APM is disabled).
## "all": enable registry.datadoghq.com for all sites (AP1, AP2, EU, US1, US5).
## "": disable migration, keeping site-specific registries.
registryMigrationMode: "auto"
datadog:
# datadog.apiKey -- Your Datadog API key
## ref: https://app.datadoghq.com/account/settings#agent/kubernetes
apiKey: # <DATADOG_API_KEY>
# datadog.apiKeyExistingSecret -- Use existing Secret which stores API key instead of creating a new one. The value should be set with the `api-key` key inside the secret.
## If set, this parameter takes precedence over "apiKey".
apiKeyExistingSecret: # <DATADOG_API_KEY_SECRET>
# datadog.appKey -- Datadog APP key required to use metricsProvider
## If you are using clusterAgent.metricsProvider.enabled = true, you must set
## a Datadog application key for read access to your metrics.
appKey: # <DATADOG_APP_KEY>
# datadog.appKeyExistingSecret -- Use existing Secret which stores APP key instead of creating a new one. The value should be set with the `app-key` key inside the secret.
## If set, this parameter takes precedence over "appKey".
appKeyExistingSecret: # <DATADOG_APP_KEY_SECRET>
# agents.secretAnnotations -- Annotations to add to the Secrets
secretAnnotations: {}
# key: "value"
## Configure the secret backend feature https://docs.datadoghq.com/agent/guide/secrets-management
## Examples: https://docs.datadoghq.com/agent/guide/secrets-management/#setup-examples-1
secretBackend:
# datadog.secretBackend.command -- Configure the secret backend command, path to the secret backend binary.
## Note: If the command value is "/readsecret_multiple_providers.sh", and datadog.secretBackend.enableGlobalPermissions is enabled below, the agents will have permissions to get secret objects across the cluster.
## Read more about "/readsecret_multiple_providers.sh": https://docs.datadoghq.com/agent/guide/secrets-management/#script-for-reading-from-multiple-secret-providers-readsecret_multiple_providerssh
command: # "/readsecret.sh" or "/readsecret_multiple_providers.sh" or any custom binary path
# datadog.secretBackend.arguments -- Configure the secret backend command arguments (space-separated strings).
arguments: # "/etc/secret-volume" or any other custom arguments
# datadog.secretBackend.timeout -- Configure the secret backend command timeout in seconds.
timeout: # 30
# datadog.secretBackend.refreshInterval -- [PREVIEW] Configure the secret backend command refresh interval in seconds.
refreshInterval: # 0
# datadog.secretBackend.type -- Configure the built-in secret backend type.
# Alternative to command; when set, the Agent uses the built-in backend to resolve secrets. Requires Agent 7.70+.
type: # Examples: "file.text", "k8s.secrets", "docker.secrets", "aws.secrets", etc.
# datadog.secretBackend.config -- Additional configuration for the secret backend type.
config: {}
# Example for k8s.secrets:
# token_path: "/custom/path/token"
# ca_path: "/custom/path/ca.crt"
# datadog.secretBackend.enableGlobalPermissions -- Whether to create a global permission allowing Datadog agents to read all secrets when `datadog.secretBackend.command` is set to `"/readsecret_multiple_providers.sh"` or `datadog.secretBackend.type` is set.
enableGlobalPermissions: true
# datadog.secretBackend.roles -- Creates roles for Datadog to read the specified secrets - replacing `datadog.secretBackend.enableGlobalPermissions`.
roles: []
# - namespace: secret-location-namespace
# secrets:
# - secret-1
# - secret-2
# datadog.securityContext -- Allows you to overwrite the default PodSecurityContext on the Daemonset or Deployment
securityContext:
runAsUser: 0
# seLinuxOptions:
# user: "system_u"
# role: "system_r"
# type: "spc_t"
# level: "s0"
# datadog.hostVolumeMountPropagation -- Allow to specify the `mountPropagation` value on all volumeMounts using HostPath
## ref: https://kubernetes.io/docs/concepts/storage/volumes/#mount-propagation
hostVolumeMountPropagation: None
# datadog.clusterName -- Set a unique cluster name to allow scoping hosts and Cluster Checks easily
## The name must be unique and must be dot-separated tokens with the following restrictions:
## * Lowercase letters, numbers, and hyphens only.
## * Must start with a letter.
## * Must end with a number or a letter.
## * Overall length should not be higher than 80 characters.
## Compared to the rules of GKE, dots are allowed whereas they are not allowed on GKE:
## https://cloud.google.com/kubernetes-engine/docs/reference/rest/v1beta1/projects.locations.clusters#Cluster.FIELDS.name
clusterName: # <CLUSTER_NAME>
# datadog.site -- The site of the Datadog intake to send Agent data to.
# (documentation: https://docs.datadoghq.com/getting_started/site/)
## Set to 'datadoghq.com' to send data to the US1 site (default).
## Set to 'datadoghq.eu' to send data to the EU site.
## Set to 'us3.datadoghq.com' to send data to the US3 site.
## Set to 'us5.datadoghq.com' to send data to the US5 site.
## Set to 'ddog-gov.com' to send data to the US1-FED site.
## Set to 'ap1.datadoghq.com' to send data to the AP1 site.
site: # datadoghq.com
# datadog.dd_url -- The host of the Datadog intake server to send Agent data to, only set this option if you need the Agent to send data to a custom URL
## Overrides the site setting defined in "site".
dd_url: # https://app.datadoghq.com
# datadog.logLevel -- Set logging verbosity, valid log levels are: trace, debug, info, warn, error, critical, off
logLevel: INFO
# datadog.kubeStateMetricsEnabled -- If true, deploys the kube-state-metrics deployment
## ref: https://github.com/kubernetes/kube-state-metrics/tree/kube-state-metrics-helm-chart-2.13.2/charts/kube-state-metrics
# The kubeStateMetricsEnabled option will be removed in the 4.0 version of the Datadog Agent chart.
kubeStateMetricsEnabled: false
kubeStateMetricsNetworkPolicy:
# datadog.kubeStateMetricsNetworkPolicy.create -- If true, create a NetworkPolicy for kube state metrics
create: false
kubeStateMetricsCore:
# datadog.kubeStateMetricsCore.enabled -- Enable the kubernetes_state_core check in the Cluster Agent (Requires Cluster Agent 1.12.0+)
## ref: https://docs.datadoghq.com/integrations/kubernetes_state_core
enabled: true
rbac:
# datadog.kubeStateMetricsCore.rbac.create -- If true, create & use RBAC resources
create: true
## Configuring this field changes the default kubernetes_state_core check configuration. Recommended for large clusters to reduce load on the API server.
useApiServerCache: false
# datadog.kubeStateMetricsCore.ignoreLegacyKSMCheck -- Disable the auto-configuration of legacy kubernetes_state check (taken into account only when datadog.kubeStateMetricsCore.enabled is true)
## Disabling this field is not recommended as it results in enabling both checks, it can be useful though during the migration phase.
## Migration guide: https://docs.datadoghq.com/integrations/kubernetes_state_core/?tab=helm#migration-from-kubernetes_state-to-kubernetes_state_core
ignoreLegacyKSMCheck: true
# datadog.kubeStateMetricsCore.collectSecretMetrics -- Enable watching secret objects and collecting their corresponding metrics kubernetes_state.secret.*
## Configuring this field will change the default kubernetes_state_core check configuration and the RBACs granted to Datadog Cluster Agent to run the kubernetes_state_core check.
collectSecretMetrics: true
# datadog.kubeStateMetricsCore.collectConfigMaps -- Enable watching configmap objects and collecting their corresponding metrics kubernetes_state.configmap.*
## Configuring this field will change the default kubernetes_state_core check configuration and the RBACs granted to Datadog Cluster Agent to run the kubernetes_state_core check.
collectConfigMaps: true
# datadog.kubeStateMetricsCore.collectVpaMetrics -- Enable watching VPA objects and collecting their corresponding metrics kubernetes_state.vpa.*
## Configuring this field will change the default kubernetes_state_core check configuration and the RBACs granted to Datadog Cluster Agent to run the kubernetes_state_core check.
collectVpaMetrics: false
# datadog.kubeStateMetricsCore.collectCrdMetrics -- Enable watching CRD objects and collecting their corresponding metrics kubernetes_state.crd.*
## Configuring this field will change the default kubernetes_state_core check configuration to run the kubernetes_state_core check.
collectCrdMetrics: false
# datadog.kubeStateMetricsCore.collectCrMetrics -- Enable watching CustomResource objects and collecting their corresponding metrics kubernetes_state_customresource.* (Requires Cluster Agent 7.63.0+)
## Configuring this field will change the default kubernetes_state_core check configuration and the RBACs granted to Datadog Cluster Agent to run the kubernetes_state_core check.
##
## See https://github.com/kubernetes/kube-state-metrics/blob/main/docs/metrics/extend/customresourcestate-metrics.md for a full description of each field.
collectCrMetrics: []
# - groupVersionKind:
# group: myteam.io
# kind: "Foo"
# version: "v1"
# resource: "foos" # optional, if not set, the resource will be pluralized from the kind by adding "s" to the end
# metrics:
# - name: "uptime"
# help: "Foo uptime"
# each:
# type: Gauge
# gauge:
# path: [status, uptime]
# datadog.kubeStateMetricsCore.collectApiServicesMetrics -- Enable watching apiservices objects and collecting their corresponding metrics kubernetes_state.apiservice.* (Requires Cluster Agent 7.45.0+)
## Configuring this field will change the default kubernetes_state_core check configuration and the RBACs granted to Datadog Cluster Agent to run the kubernetes_state_core check.
collectApiServicesMetrics: false
# datadog.kubeStateMetricsCore.useClusterCheckRunners -- For large clusters where the Kubernetes State Metrics Check Core needs to be distributed on dedicated workers.
## Configuring this field will create a separate deployment which will run Cluster Checks, including Kubernetes State Metrics Core.
## If clusterChecksRunner.enabled is true, it's recommended to set this flag to true as well to better utilize dedicated workers and reduce load on the Cluster Agent.
## ref: https://docs.datadoghq.com/agent/cluster_agent/clusterchecksrunner?tab=helm
useClusterCheckRunners: false
# datadog.kubeStateMetricsCore.labelsAsTags -- Extra labels to collect from resources and to turn into datadog tag.
## It has the following structure:
## labelsAsTags:
## <resource1>: # can be pod, deployment, node, etc.
## <label1>: <tag1> # where <label1> is the kubernetes label and <tag1> is the datadog tag
## <label2>: <tag2>
## <resource2>:
## <label3>: <tag3>
##
labelsAsTags: {}
# pod:
# app: app
# node:
# zone: zone
# team: team
# datadog.kubeStateMetricsCore.annotationsAsTags -- Extra annotations to collect from resources and to turn into datadog tag.
## It has the following structure:
## annotationsAsTags:
## <resource1>: # can be pod, deployment, node, etc.
## <annotation1>: <tag1> # where <annotation1> is the kubernetes annotation and <tag1> is the datadog tag
## <annotation2>: <tag2>
## <resource2>:
## <annotation3>: <tag3>
##
## Warning: the annotation must match the transformation done by kube-state-metrics,
## for example tags.datadoghq.com/version becomes tags_datadoghq_com_version.
annotationsAsTags: {}
# pod:
# app: app
# node:
# zone: zone
# team: team
# datadog.kubeStateMetricsCore.tags -- List of static tags to attach to all KSM metrics
tags: []
# datadog.kubeStateMetricsCore.namespaces -- Restrict the kubernetes_state_core check to collect metrics only from the specified namespaces.
## When set, namespace-scoped RBAC is created as Role+RoleBinding per listed namespace instead of a cluster-wide ClusterRole.
## Cluster-scoped resources (nodes, persistentvolumes, storageclasses, etc.) are still collected via a ClusterRole.
namespaces: []
# - default
# - kube-system
## Manage Cluster checks feature
## ref: https://docs.datadoghq.com/agent/autodiscovery/clusterchecks/
## Autodiscovery via Kube Service annotations is automatically enabled
clusterChecks:
# datadog.clusterChecks.enabled -- Enable the Cluster Checks feature on both the cluster-agents and the daemonset
enabled: true
# datadog.clusterChecks.shareProcessNamespace -- Set the process namespace sharing on the cluster checks agent
shareProcessNamespace: false
# datadog.nodeLabelsAsTags -- Provide a mapping of Kubernetes Node Labels to Datadog Tags
nodeLabelsAsTags: {}
# beta.kubernetes.io/instance-type: aws-instance-type
# kubernetes.io/role: kube_role
# <KUBERNETES_NODE_LABEL>: <DATADOG_TAG_KEY>
# datadog.podLabelsAsTags -- Provide a mapping of Kubernetes Labels to Datadog Tags
podLabelsAsTags: {}
# app: kube_app
# release: helm_release
# <KUBERNETES_LABEL>: <DATADOG_TAG_KEY>
# datadog.podAnnotationsAsTags -- Provide a mapping of Kubernetes Annotations to Datadog Tags
podAnnotationsAsTags: {}
# iam.amazonaws.com/role: kube_iamrole
# <KUBERNETES_ANNOTATIONS>: <DATADOG_TAG_KEY>
# datadog.namespaceLabelsAsTags -- Provide a mapping of Kubernetes Namespace Labels to Datadog Tags
namespaceLabelsAsTags: {}
# env: environment
# <KUBERNETES_NAMESPACE_LABEL>: <DATADOG_TAG_KEY>
# datadog.namespaceAnnotationsAsTags -- Provide a mapping of Kubernetes Namespace Annotations to Datadog Tags
namespaceAnnotationsAsTags: {}
# env: environment
# <KUBERNETES_NAMESPACE_ANNOTATIONS>: <DATADOG_TAG_KEY>
# datadog.kubernetesResourcesLabelsAsTags -- Provide a mapping of Kubernetes Resources Labels to Datadog Tags
kubernetesResourcesLabelsAsTags: {}
# pods:
# x-ref: reference
# namespaces:
# kubernetes.io/metadata.name: name-as-tag
# <RESOURCE_TYPE>:
# <KUBERNETES_RESOURCE_LABEL>: <DATADOG_TAG_KEY>
# datadog.kubernetesResourcesAnnotationsAsTags -- Provide a mapping of Kubernetes Resources Annotations to Datadog Tags
kubernetesResourcesAnnotationsAsTags: {}
# pods:
# x-ann: annotation-reference
# namespaces:
# stale-annotation: annotation-as-tag
# <RESOURCE_TYPE>:
# <KUBERNETES_RESOURCE_ANNOTATION>: <DATADOG_TAG_KEY>
originDetectionUnified:
# datadog.originDetectionUnified.enabled -- Enabled enables unified mechanism for origin detection. Default: false. (Requires Agent 7.54.0+).
enabled: false
# datadog.tags -- List of static tags to attach to every metric, event and service check collected by this Agent.
## Learn more about tagging: https://docs.datadoghq.com/tagging/
tags: []
# - "<KEY_1>:<VALUE_1>"
# - "<KEY_2>:<VALUE_2>"
# datadog.checksCardinality -- Sets the tag cardinality for the checks run by the Agent.
## ref: https://docs.datadoghq.com/getting_started/tagging/assigning_tags/?tab=containerizedenvironments#environment-variables
checksCardinality: # low, orchestrator or high (not set by default to avoid overriding existing DD_CHECKS_TAG_CARDINALITY configurations, the default value in the Agent is low)
# kubelet configuration
kubelet:
# datadog.kubelet.host -- Override kubelet IP
host:
valueFrom:
fieldRef:
fieldPath: status.hostIP
# datadog.kubelet.tlsVerify -- Toggle kubelet TLS verification
# @default -- true
tlsVerify: # false
# datadog.kubelet.hostCAPath -- Path (on host) where the Kubelet CA certificate is stored
# @default -- None (no mount from host)
hostCAPath:
# datadog.kubelet.agentCAPath -- Path (inside Agent containers) where the Kubelet CA certificate is stored
# @default -- /var/run/host-kubelet-ca.crt if hostCAPath else /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
agentCAPath:
# datadog.kubelet.podLogsPath -- Path (on host) where the PODs logs are located
# @default -- /var/log/pods on Linux, C:\var\log\pods on Windows
podLogsPath:
# datadog.kubelet.coreCheckEnabled -- Toggle if kubelet core check should be used instead of Python check. (Requires Agent/Cluster Agent 7.53.0+)
# @default -- true
coreCheckEnabled: true
# datadog.kubelet.podResourcesSocketDir -- Path (on host) where the kubelet.sock socket for the PodResources API is located
# @default -- /var/lib/kubelet/pod-resources
podResourcesSocketDir: /var/lib/kubelet/pod-resources
# datadog.kubelet.useApiServer -- Enable this to query the pod list from the API Server instead of the Kubelet. (Requires Agent 7.65.0+)
# @default -- false
useApiServer: false
# datadog.kubelet.fineGrainedAuthorization -- Enable fine-grained authentication for kubelet (requires: Kubernetes 1.32+)
fineGrainedAuthorization: false
# datadog.expvarPort -- Specify the port to expose pprof and expvar to not interfere with the agent metrics port from the cluster-agent, which defaults to 5000
expvarPort: 6000
## dogstatsd configuration
## ref: https://docs.datadoghq.com/agent/kubernetes/dogstatsd/
## To emit custom metrics from your Kubernetes application, use DogStatsD.
dogstatsd:
# datadog.dogstatsd.port -- Override the Agent DogStatsD port
## Note: Make sure your client is sending to the same UDP port.
port: 8125
# datadog.dogstatsd.originDetection -- Enable origin detection for container tagging
## ref: https://docs.datadoghq.com/developers/dogstatsd/unix_socket/#using-origin-detection-for-container-tagging
originDetection: false
# datadog.dogstatsd.tags -- List of static tags to attach to every custom metric, event and service check collected by Dogstatsd.
## Learn more about tagging: https://docs.datadoghq.com/tagging/
tags: []
# - "<KEY_1>:<VALUE_1>"
# - "<KEY_2>:<VALUE_2>"
# datadog.dogstatsd.tagCardinality -- Sets the tag cardinality relative to the origin detection
## ref: https://docs.datadoghq.com/developers/dogstatsd/unix_socket/#using-origin-detection-for-container-tagging
tagCardinality: low
# datadog.dogstatsd.useSocketVolume -- Enable dogstatsd over Unix Domain Socket with an HostVolume
## ref: https://docs.datadoghq.com/developers/dogstatsd/unix_socket/
useSocketVolume: true
# datadog.dogstatsd.socketPath -- Path to the DogStatsD socket
socketPath: /var/run/datadog/dsd.socket
# datadog.dogstatsd.hostSocketPath -- Host path to the DogStatsD socket
hostSocketPath: /var/run/datadog
# datadog.dogstatsd.useHostPort -- Sets the hostPort to the same value of the container port
## Needs to be used for sending custom metrics.
## The ports need to be available on all hosts.
##
## WARNING: Make sure that hosts using this are properly firewalled otherwise
## metrics and traces are accepted from any host able to connect to this host.
useHostPort: false
# datadog.dogstatsd.useHostPID -- Run the agent in the host's PID namespace
## DEPRECATED: use datadog.useHostPID instead.
## This is required for Dogstatsd origin detection to work.
## See https://docs.datadoghq.com/developers/dogstatsd/unix_socket/
useHostPID: false
# datadog.dogstatsd.nonLocalTraffic -- Enable this to make each node accept non-local statsd traffic (from outside of the pod)
## ref: https://github.com/DataDog/docker-dd-agent#environment-variables
nonLocalTraffic: true
# datadog.useHostPID -- Run the agent in the host's PID namespace, required for origin detection
# / unified service tagging
## This is required for Dogstatsd origin detection to work in dogstatsd and trace agent
## See https://docs.datadoghq.com/developers/dogstatsd/unix_socket/
useHostPID: true
# datadog.collectEvents -- Enables this to start event collection from the kubernetes API
## ref: https://docs.datadoghq.com/agent/kubernetes/#event-collection
collectEvents: true
# datadog.kubernetesUseEndpointSlices -- Enable this to map Kubernetes services to endpointslices instead of endpoints. (Requires Cluster Agent 7.62.0+).
kubernetesUseEndpointSlices: true
# datadog.kubernetesKubeServiceIgnoreReadiness -- Enable this to attach kube_service tag unconditionally. (Requires Cluster Agent 7.76.0+).
kubernetesKubeServiceIgnoreReadiness: false
# Configure Kubernetes events collection
kubernetesEvents:
# datadog.kubernetesEvents.sourceDetectionEnabled -- Enable this to map Kubernetes events to integration sources based on controller names. (Requires Cluster Agent 7.56.0+).
sourceDetectionEnabled: false
# datadog.kubernetesEvents.filteringEnabled -- Enable this to only include events that match the pre-defined allowed events. (Requires Cluster Agent 7.57.0+).
filteringEnabled: false
# datadog.kubernetesEvents.unbundleEvents -- Allow unbundling kubernetes events, 1:1 mapping between Kubernetes and Datadog events. (Requires Cluster Agent 7.42.0+).
unbundleEvents: false
# datadog.kubernetesEvents.collectedEventTypes -- Event types to be collected. This requires datadog.kubernetesEvents.unbundleEvents to be set to true.
collectedEventTypes:
# - kind: <kubernetes resource kind> # (optional if `source`` is provided)
# source: <controller name> # (optional if `kind`` is provided)
# reasons: # (optional) if empty accept all event reasons
# - <kubernetes event reason>
- kind: Pod
reasons:
- Failed
- BackOff
- Unhealthy
- FailedScheduling
- FailedMount
- FailedAttachVolume
- kind: Node
reasons:
- TerminatingEvictedPod
- NodeNotReady
- Rebooted
- HostPortConflict
- kind: CronJob
reasons:
- SawCompletedJob
# datadog.kubernetesEvents.maxEventsPerRun -- Maximum number of events you wish to collect per check run.
maxEventsPerRun:
# datadog.kubernetesEvents.kubernetesEventResyncPeriodS -- Specify the frequency in seconds at which the Agent should list all events to re-sync following the informer pattern
kubernetesEventResyncPeriodS:
clusterTagger:
# datadog.clusterTagger.collectKubernetesTags -- Enables Kubernetes resources tags collection.
collectKubernetesTags: false
# datadog.leaderElection -- Enables leader election mechanism for event collection
leaderElection: true
# datadog.leaderLeaseDuration -- Set the lease time for leader election in second
leaderLeaseDuration: # 60
# datadog.leaderElectionResource -- Selects the default resource to use for leader election.
# Can be:
# * "lease" / "leases". Only supported in agent 7.47+
# * "configmap" / "configmaps".
# "" to automatically detect which one to use.
leaderElectionResource: configmap
remoteConfiguration:
# datadog.remoteConfiguration.enabled -- Set to true to enable remote configuration.
# DEPRECATED: Consider using remoteConfiguration.enabled instead
enabled: true
privateActionRunner:
# datadog.privateActionRunner.enabled -- Enable the Private Action Runner on the node agent to execute workflow actions
enabled: false
# datadog.privateActionRunner.selfEnroll -- Enable self-enrollment for the Private Action Runner
## When enabled, the runner will automatically register itself with Datadog using the provided API/APP keys
## and store its identity in a local file. Requires leader election to be enabled.
selfEnroll: true
# datadog.privateActionRunner.urn -- URN of the Private Action Runner (required if selfEnroll is false)
## Format: urn:datadog:private-action-runner:organization:<org_id>:runner:<runner_id>
urn: # "urn:datadog:private-action-runner:organization:123456:runner:abc-def"
# datadog.privateActionRunner.privateKey -- Private key for the Private Action Runner (required if selfEnroll is false)
## This key is used to authenticate the runner with Datadog
privateKey: # "<PRIVATE_KEY>"
# datadog.privateActionRunner.identityFromExistingSecret -- Use existing Secret which stores the Private Action Runner URN and private key
## The secret should contain 'urn' and 'private_key' keys
## If set, this parameter takes precedence over "urn" and "privateKey"
identityFromExistingSecret: # "<PAR_SECRET_NAME>"
# datadog.privateActionRunner.actionsAllowlist -- List of actions executable by the Private Action Runner
actionsAllowlist: []
# - "com.datadoghq.http.request"
# - "com.datadoghq.gitlab.branches.*"
## Enable logs agent and provide custom configs
logs:
# datadog.logs.enabled -- Enables this to activate Datadog Agent log collection
## ref: https://docs.datadoghq.com/agent/basic_agent_usage/kubernetes/#log-collection-setup
enabled: false
# datadog.logs.containerCollectAll -- Enable this to allow log collection for all containers
## ref: https://docs.datadoghq.com/agent/basic_agent_usage/kubernetes/#log-collection-setup
containerCollectAll: false
# datadog.logs.containerCollectUsingFiles -- Collect logs from files in /var/log/pods instead of using container runtime API
## It's usually the most efficient way of collecting logs.
## ref: https://docs.datadoghq.com/agent/basic_agent_usage/kubernetes/#log-collection-setup
containerCollectUsingFiles: true
# datadog.logs.autoMultiLineDetection -- Allows the Agent to detect common multi-line patterns automatically.
## ref: https://docs.datadoghq.com/agent/logs/advanced_log_collection/?tab=configurationfile#automatic-multi-line-aggregation
autoMultiLineDetection: false
## Enable apm agent and provide custom configs
##
## APM is enabled by default. If local service Internal Traffic Policy is allowed (Kubernetes v1.22+), the agent service is created with the APM local traceport.
apm:
# datadog.apm.socketEnabled -- Enable APM over Socket (Unix Socket or windows named pipe)
## ref: https://docs.datadoghq.com/agent/kubernetes/apm/
socketEnabled: true
# datadog.apm.portEnabled -- Enable APM over TCP communication (hostPort 8126 by default)
## ref: https://docs.datadoghq.com/agent/kubernetes/apm/
portEnabled: false
# datadog.apm.useLocalService -- Enable APM over TCP communication to use the local service only (requires Kubernetes v1.22+)
# Note: The hostPort 8126 is disabled when this is enabled.
## ref: https://docs.datadoghq.com/tracing/guide/setting_up_apm_with_kubernetes_service/?tab=helm
useLocalService: false
# datadog.apm.enabled -- Enable this to enable APM and tracing, on port 8126
# DEPRECATED. Use datadog.apm.portEnabled instead
## ref: https://github.com/DataDog/docker-dd-agent#tracing-from-the-host
enabled: false
# datadog.apm.port -- Override the trace Agent port
## Note: Make sure your client is sending to the same UDP port.
port: 8126
# datadog.apm.useSocketVolume -- Enable APM over Unix Domain Socket
# DEPRECATED. Use datadog.apm.socketEnabled instead
## ref: https://docs.datadoghq.com/agent/kubernetes/apm/
useSocketVolume: false
# datadog.apm.socketPath -- Path to the trace-agent socket
socketPath: /var/run/datadog/apm.socket
# datadog.apm.hostSocketPath -- Host path to the trace-agent socket
hostSocketPath: /var/run/datadog
# Error Tracking backend
errorTrackingStandalone:
# datadog.apm.errorTrackingStandalone.enabled -- Enables Error Tracking for backend services.
enabled: false
# APM Single Step Instrumentation
# Requires Cluster Agent 7.49+.
instrumentation:
# datadog.apm.instrumentation.enabled -- Enable injecting the Datadog APM libraries into all pods in the cluster.
enabled: false
# datadog.apm.instrumentation.enabledNamespaces -- Enable injecting the Datadog APM libraries into pods in specific namespaces.
enabledNamespaces: []
# datadog.apm.instrumentation.disabledNamespaces -- Disable injecting the Datadog APM libraries into pods in specific namespaces.
disabledNamespaces: []
# datadog.apm.instrumentation.libVersions -- Inject specific version of tracing libraries with Single Step Instrumentation.
libVersions: {}
# datadog.apm.instrumentation.targets -- Enable target based workload selection.
# Requires Cluster Agent 7.64.0+.
#
# ddTraceConfigs[]valueFrom Requires Cluster Agent 7.66.0+.
targets: []
# - name: "example"
# podSelector:
# matchLabels:
# language: "python"
# namespaceSelector:
# matchNames:
# - "applications"
# ddTraceVersions:
# python: "v2"
# ddTraceConfigs:
# - name: "DD_PROFILING_ENABLED"
# value: "true"
# - name: "DD_SERVICE"
# valueFrom:
# fieldRef:
# fieldPath: metadata.labels[my-label]
# datadog.apm.instrumentation.skipKPITelemetry -- Disable generating Configmap for APM Instrumentation KPIs
skipKPITelemetry: false
# Language detection currently only detects languages and adds them as annotations on deployments, but doesn't use these languages for injecting libraries to applicative pods.
# It requires Agent 7.52+ and Cluster Agent 7.52+
language_detection:
# datadog.apm.instrumentation.language_detection.enabled -- Run language detection to automatically detect languages of user workloads (preview).
enabled: true
# datadog.apm.instrumentation.injectionMode -- The injection mode to use for libraries injection.
# Valid values are: "auto", "init_container", "csi" (experimental, requires Cluster Agent 7.76.0+ and Datadog CSI Driver), "image_volume" (experimental, requires Cluster Agent 7.77.0+)
# Empty by default so the Cluster Agent can apply its own defaults.
injectionMode: ""
# This feature is in preview. It requires Cluster Agent 7.57+.
injector:
# datadog.apm.instrumentation.injector.imageTag -- The image tag to use for the APM Injector (preview).
imageTag: ""
## Application Security Managment (ASM) configuration
##
## ASM is disabled by default and can be enabled by setting the various `enabled` fields to `true` under the `datadog.asm` section.
## Manually adding the various environment variables to a pod will take precedence over the ones in the Helm chart.
## These will only have an effect on containers that have Datadog client libraries installed, either manually or via Single Step Instrumentation (under the `datadog.apm.instrumentation` section).
## It requires Datadog Cluster Agent 7.53.0+.
asm:
threats:
# datadog.asm.threats.enabled -- Enable Application Security Management Threats App & API Protection by injecting `DD_APPSEC_ENABLED=true` environment variable to all pods in the cluster
enabled: false
sca:
# datadog.asm.sca.enabled -- Enable Application Security Management Software Composition Analysis by injecting `DD_APPSEC_SCA_ENABLED=true` environment variable to all pods in the cluster
enabled: false
iast:
# datadog.asm.iast.enabled -- Enable Application Security Management Interactive Application Security Testing by injecting `DD_IAST_ENABLED=true` environment variable to all pods in the cluster
enabled: false
## App & API Protection configuration
##
## App & API Protection is disabled by default and can be enabled by setting the `enabled` field to `true` under the `datadog.appsec.injector` section.
## The Datadog Helm Chart offer the option to auto-instrument supported proxies in the cluster to forward traffic to a custom security processor delegating
## traffic analysis, WAF capabilities and API Posture management to Datadog's App and API Protection product that has to be deployed separately. Please follow the documentation to deploy the processor:
## https://docs.datadoghq.com/security/application_security/setup/#proxies
## It requires Datadog Cluster Agent 7.73.0+.
appsec:
# App & API Protection Injector is used to automatically configure your proxy to forward traffic to a custom security processor delegating
# traffic analysis, WAF capabilities and API Posture management to Datadog's App and API Protection product.
injector:
# datadog.appsec.injector.enabled -- Enable App & API Protection on your cluster ingress usage across all your cluster at once
enabled: false
# datadog.appsec.injector.autoDetect -- Automatically detect and inject supported proxies in the cluster (Envoy Gateway, Istio Gateway API, native Istio Gateway, ingress-nginx)
autoDetect: true
# datadog.appsec.injector.mode -- Deployment mode for the AppSec processor. Valid values: "sidecar", "external". Leave empty to use the agent default (sidecar). Upgrading users who rely on the external-processor flow (processor.address / processor.service.*) should set this to "external" explicitly.
mode: ""
# datadog.appsec.injector.proxies -- Manually specify which proxy types to inject. Valid values: "envoy-gateway", "istio", "istio-gateway", "ingress-nginx"
# When autoDetect is true, detected proxies are added to this list
# When autoDetect is false, only proxies in this list are enabled
proxies: []
# - envoy-gateway: Configures Envoy Gateway resources for AppSec injection
# - istio: Watches Istio-managed Kubernetes Gateway API GatewayClasses for AppSec injection
# - istio-gateway: Watches native Istio Gateway resources for AppSec injection
# - ingress-nginx: Watches IngressClass resources to discover ingress-nginx controllers and injects the nginx-datadog module via an init container
sidecar:
# datadog.appsec.injector.sidecar.image -- Container image for the AppSec sidecar processor
image: "ghcr.io/datadog/dd-trace-go/service-extensions-callout"
# datadog.appsec.injector.sidecar.imageTag -- Image tag for the AppSec sidecar processor
imageTag: "v2.8.2"
# datadog.appsec.injector.sidecar.port -- Listening port for the AppSec sidecar processor
port: 8080
# datadog.appsec.injector.sidecar.healthPort -- Health check port for the AppSec sidecar processor
healthPort: 8081
# datadog.appsec.injector.sidecar.bodyParsingSizeLimit -- Request body parsing size limit in bytes for the AppSec sidecar processor. Set to 0 to leave it unset (default agent behavior). Set to a negative value (e.g. -1) to disable body parsing entirely.
bodyParsingSizeLimit: 0
resources:
requests:
# datadog.appsec.injector.sidecar.resources.requests.cpu -- CPU request for the AppSec sidecar processor
cpu: "10m"
# datadog.appsec.injector.sidecar.resources.requests.memory -- Memory request for the AppSec sidecar processor
memory: "128Mi"
limits:
# datadog.appsec.injector.sidecar.resources.limits.cpu -- Optional CPU limit for the AppSec sidecar processor
cpu: ""
# datadog.appsec.injector.sidecar.resources.limits.memory -- Optional memory limit for the AppSec sidecar processor
memory: ""
processor:
# datadog.appsec.injector.processor.address -- Address of the AppSec processor service
# Defaults to `{service.name}.{service.namespace}.svc`
address: ""
# datadog.appsec.injector.processor.port -- Port of the AppSec processor service (defaults to 443)
port: 443
# datadog.appsec.injector.service -- Required service information to connect to the AppSec processor
# This service should point to a deployment of the image `ghcr.io/DataDog/dd-trace-go/service-extensions-callout:latest`
# This deployment is not managed by the Datadog Helm chart.
service:
# datadog.appsec.injector.processor.service.name -- Name of the AppSec processor service
name: ""
# datadog.appsec.injector.processor.service.namespace -- Namespace where the AppSec processor service is deployed
namespace: ""
nginx:
# datadog.appsec.injector.nginx.moduleMountPath -- Path inside the ingress-nginx controller pod where the nginx-datadog module .so is mounted from the shared emptyDir
moduleMountPath: "/modules_mount"
## OTLP ingest related configuration
otlp:
receiver:
protocols:
# datadog.otlp.receiver.protocols.grpc - OTLP/gRPC configuration
grpc:
# datadog.otlp.receiver.protocols.grpc.enabled -- Enable the OTLP/gRPC endpoint
enabled: false
# datadog.otlp.receiver.protocols.grpc.endpoint -- OTLP/gRPC endpoint
endpoint: "0.0.0.0:4317"
# datadog.otlp.receiver.protocols.grpc.useHostPort -- Enable the Host Port for the OTLP/gRPC endpoint
useHostPort: true
# datadog.otlp.receiver.protocols.http - OTLP/HTTP configuration
http:
# datadog.otlp.receiver.protocols.http.enabled -- Enable the OTLP/HTTP endpoint
enabled: false
# datadog.otlp.receiver.protocols.http.endpoint -- OTLP/HTTP endpoint
endpoint: "0.0.0.0:4318"
# datadog.otlp.receiver.protocols.http.useHostPort -- Enable the Host Port for the OTLP/HTTP endpoint
useHostPort: true
logs:
# datadog.otlp.logs.enabled -- Enable logs support in the OTLP ingest endpoint
enabled: false
## Host Profiler related configuration for the host-profiler in Agent Daemonset. Note this is experimental and subject to change
hostProfiler:
# datadog.hostProfiler.enabled -- Enable the Host Profiler. This feature is experimental and subject to change.
enabled: false
# datadog.hostProfiler.image -- Image the Host Profiler. This parameter is experimental and will be removed once official image is available.
image: ""
# datadog.hostProfiler.imagePullPolicy -- Pull policy for the Host Profiler image. Defaults to agents.image.pullPolicy when unset.
imagePullPolicy: ""
# datadog.hostProfiler.seccomp -- Seccomp profile configuration for the Host Profiler
seccomp:
# datadog.hostProfiler.seccomp.enabled -- Apply the localhost seccomp profile to the host-profiler container and run the init container that installs it on the node. Disable to run the host-profiler container Unconfined (no init container, no profile installed on the node).
enabled: true
# datadog.hostProfiler.seccompRoot -- Specify the seccomp profile root directory
seccompRoot: /var/lib/kubelet/seccomp
# datadog.hostProfiler.apparmor -- Specify an AppArmor profile for the host-profiler container (e.g. "localhost/datadog-host-profiler").
## Only used when agents.podSecurity.apparmor.enabled is true.
apparmor: unconfined
## OTel collector related configuration for the otel-agent in Agent Daemonset
otelCollector:
# datadog.otelCollector.enabled -- Enable the OTel Collector
enabled: false
# datadog.otelCollector.ports -- Ports that OTel Collector is listening on
ports:
# Default GRPC port of OTLP receiver
- containerPort: "4317"
name: otel-grpc
protocol: TCP
# Default HTTP port of OTLP receiver
- containerPort: "4318"
name: otel-http
protocol: TCP
# datadog.otelCollector.config -- OTel collector configuration
config: null
# datadog.otelCollector.configMap -- Use an existing ConfigMap for DDOT Collector configuration
configMap:
# datadog.otelCollector.configMap.name -- Name of the existing ConfigMap that contains the DDOT Collector configuration
name: null
# datadog.otelCollector.configMap.items -- Items within the ConfigMap that contain DDOT Collector configuration
items:
# - key: otel-config.yaml
# path: otel-config.yaml
# - key: otel-config-two.yaml
# path: otel-config-two.yaml
# datadog.otelCollector.configMap.key -- Key within the ConfigMap that contains the DDOT Collector configuration
key: otel-config.yaml
# datadog.otelCollector.featureGates -- Feature gates to pass to OTel collector, as a comma separated list
featureGates: null
# datadog.otelCollector.useStandaloneImage -- If true, the OTel Collector will use the `ddot-collector` image instead of the `agent` image
# The tag is retrieved from the `agents.image.tag` value.
# This is only supported for agent versions 7.67.0+
# If set to false, you will need to set `agents.image.tagSuffix` to `full`
useStandaloneImage: true
## Provide OTel Collector RBAC configuration
rbac:
# datadog.otelCollector.rbac.create -- If true, check OTel Collector config for k8sattributes processor
# and create required ClusterRole to access Kubernetes API
create: true
# datadog.otelCollector.rbac.rules -- A set of additional RBAC rules to apply to OTel Collector's ClusterRole
rules: []
# - apiGroups: [""]
# resources: ["pods", "nodes"]
# verbs: ["get", "list", "watch"]
## Provide OTel Collector logs configuration
logs:
# datadog.otelCollector.logs.enabled -- Enable logs support in the OTel Collector.
# If true, checks OTel Collector config for filelog receiver and mounts additional volumes to collect containers
# and pods logs.
enabled: false
## Continuous Profiler configuration
##
## Continuous Profiler is disabled by default and can be enabled by setting the `enabled` field to
## either `auto` or `true` value under the `datadog.profiling` section.
## Manually adding the `DD_PROFILING_ENABLED` variable to a pod will take precedence over the
## value in the Helm chart.
## These will only have an effect on containers that have Datadog client libraries installed,
## either manually or via Single Step Instrumentation (under the `datadog.apm.instrumentation`
## section).
## It requires Datadog Cluster Agent 7.57.0+.
profiling:
# datadog.profiling.enabled -- Enable Continuous Profiler by injecting `DD_PROFILING_ENABLED`
# environment variable with the same value to all pods in the cluster
# Valid values are:
# - false: Profiler is turned off and can not be turned on by other means.
# - null: Profiler is turned off, but can be turned on by other means.
# - auto: Profiler is turned off, but the library will turn it on if the application is a good candidate for profiling.
# - true: Profiler is turned on.
enabled: null
# datadog.envFrom -- Set environment variables for all Agents directly from configMaps and/or secrets
## envFrom to pass configmaps or secrets as environment
envFrom: []
# - configMapRef:
# name: <CONFIGMAP_NAME>
# - secretRef:
# name: <SECRET_NAME>
# datadog.env -- Set environment variables for the node Agents containers only
## The Datadog Agent supports many environment variables.
## ref: https://docs.datadoghq.com/agent/docker/?tab=standard#environment-variables
env: []
# - name: <ENV_VAR_NAME>
# value: <ENV_VAR_VALUE>
# datadog.envDict -- Set environment variables defined in a dict for node Agents containers only
envDict: {}
# <ENV_VAR_NAME>: <ENV_VAR_VALUE>
# datadog.confd -- Provide additional check configurations (static and Autodiscovery)
## Each key becomes a file in /conf.d
## ref: https://github.com/DataDog/datadog-agent/tree/main/Dockerfiles/agent#optional-volumes
## ref: https://docs.datadoghq.com/agent/autodiscovery/
confd: {}
# redisdb.yaml: |-
# init_config:
# instances:
# - host: "name"
# port: "6379"
# kubernetes_state.yaml: |-
# ad_identifiers:
# - kube-state-metrics
# init_config:
# instances:
# - kube_state_url: http://%%host%%:8080/metrics
# datadog.checksd -- Provide additional custom checks as python code
## Each key becomes a file in /checks.d
## ref: https://github.com/DataDog/datadog-agent/tree/main/Dockerfiles/agent#optional-volumes
checksd: {}
# service.py: |-
# datadog.dockerSocketPath -- Path to the docker socket
dockerSocketPath: # /var/run/docker.sock
# datadog.criSocketPath -- Path to the container runtime socket (if different from Docker)
criSocketPath: # /var/run/containerd/containerd.sock
# Configure how the agent interact with the host's container runtime
containerRuntimeSupport:
# datadog.containerRuntimeSupport.enabled -- Set this to false to disable agent access to container runtime.
enabled: true
## Enable process agent and provide custom configs
processAgent:
# datadog.processAgent.enabled -- Set this to true to enable live process monitoring agent
# DEPRECATED. Set `datadog.processAgent.processCollection` or `datadog.processAgent.containerCollection` instead.
## Note: /etc/passwd is automatically mounted when `processCollection`, `processDiscovery`, or `containerCollection` is enabled.
## ref: https://docs.datadoghq.com/graphing/infrastructure/process/#kubernetes-daemonset
enabled: true
# datadog.processAgent.processCollection -- Set this to true to enable process collection
processCollection: false
# datadog.processAgent.stripProcessArguments -- Set this to scrub all arguments from collected processes
## Requires datadog.processAgent.processCollection to be set to true to have any effect
## ref: https://docs.datadoghq.com/infrastructure/process/?tab=linuxwindows#process-arguments-scrubbing
stripProcessArguments: false
# datadog.processAgent.processDiscovery -- Enables or disables autodiscovery of integrations
processDiscovery: true
# datadog.processAgent.runInCoreAgent -- Set this to true to run the following features in the core agent: Live Processes, Live Containers, Process Discovery.
## This requires Agent 7.60.0+ and Linux.
## DEPRECATED: This behavior will be enabled by default for installations that meet the requirements.
## For Agent 7.78.0+, this setting is ignored — process checks always run in the core agent on Linux.
runInCoreAgent: true
# datadog.processAgent.containerCollection -- Set this to true to enable container collection
## ref: https://docs.datadoghq.com/infrastructure/containers/?tab=helm
containerCollection: true
# datadog.disableDefaultOsReleasePaths -- Set this to true to disable mounting datadog.osReleasePath in all containers
disableDefaultOsReleasePaths: false
# datadog.disablePasswdMount -- Set this to true to disable mounting /etc/passwd in all containers
disablePasswdMount: false
# datadog.osReleasePath -- Specify the path to your os-release file
osReleasePath: /etc/os-release
## Enable systemProbe agent and provide custom configs
systemProbe:
# datadog.systemProbe.debugPort -- Specify the port to expose pprof and expvar for system-probe agent
debugPort: 0
# datadog.systemProbe.enableConntrack -- Enable the system-probe agent to connect to the netlink/conntrack subsystem to add NAT information to connection data