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values.yaml
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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.
# nameOverride -- Override name of app
nameOverride: # ""
# fullnameOverride -- Override the full qualified app name
fullnameOverride: # ""
# 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 to [gcr.io | eu.gcr.io | asia.gcr.io | datadoghq.azurecr.io | public.ecr.aws/datadog] depending on datadog.site value)
## Currently we offer Datadog Agent images on:
## 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
registry: # gcr.io/datadoghq
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.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"`.
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
# 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.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
## 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: {}
# deployments.apps:
# x-team: team-from-label
# 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: {}
# deployments.apps:
# x-team: team-from-annotation
# 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.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
# 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
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
## 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.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/
# APM Single Step Instrumentation
# This feature is in beta. It requires Cluster Agent 7.49+.
instrumentation:
# datadog.apm.instrumentation.enabled -- Enable injecting the Datadog APM libraries into all pods in the cluster (beta).
enabled: false
# datadog.apm.instrumentation.enabledNamespaces -- Enable injecting the Datadog APM libraries into pods in specific namespaces (beta).
enabledNamespaces: []
# datadog.apm.instrumentation.disabledNamespaces -- Disable injecting the Datadog APM libraries into pods in specific namespaces (beta).
disabledNamespaces: []
# datadog.apm.instrumentation.libVersions -- Inject specific version of tracing libraries with Single Step Instrumentation (beta).
libVersions: {}
# 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 (beta).
enabled: true
## 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
## 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
## OTel collector is currently in preview. Please reach out to your Datadog representative for more information.
## OTLP Ingest is the GA feature for sending OTLP data to Datadog Agent.
## OTel collector related configuration
otelCollector:
# datadog.otelCollector.enabled -- Enable the OTel Collector
enabled: false
# datadog.otelCollector.ports -- Ports that OTel Collector is listening
ports:
# Default GRPC port of OTLP receiver
- containerPort: "4317"
name: otel-grpc
# Default HTTP port of OTLP receiver
- containerPort: "4318"
name: otel-http
# datadog.otelCollector.config -- OTel collector configuration
config: null
## 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 all Agents
## 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 for all Agents defined in a dict
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 7.57.0+ and Linux.
runInCoreAgent: false
# datadog.processAgent.containerCollection -- Set this to true to enable container collection
## ref: https://docs.datadoghq.com/infrastructure/containers/?tab=helm
containerCollection: true
# 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
## ref: http://conntrack-tools.netfilter.org/
enableConntrack: true
# datadog.systemProbe.seccomp -- Apply an ad-hoc seccomp profile to the system-probe agent to restrict its privileges
## Note that this will break `kubectl exec … -c system-probe -- /bin/bash`
seccomp: localhost/system-probe
# datadog.systemProbe.seccompRoot -- Specify the seccomp profile root directory
seccompRoot: /var/lib/kubelet/seccomp
# datadog.systemProbe.bpfDebug -- Enable logging for kernel debug
bpfDebug: false
# datadog.systemProbe.apparmor -- Specify a apparmor profile for system-probe
apparmor: unconfined
# datadog.systemProbe.enableTCPQueueLength -- Enable the TCP queue length eBPF-based check
enableTCPQueueLength: false
# datadog.systemProbe.enableOOMKill -- Enable the OOM kill eBPF-based check
enableOOMKill: false
# datadog.systemProbe.mountPackageManagementDirs -- Enables mounting of specific package management directories when runtime compilation is enabled
mountPackageManagementDirs: []
## For runtime compilation to be able to download kernel headers, the host's package management folders
## must be mounted to the /host directory. For example, for Ubuntu & Debian the following mount would be necessary:
# - name: "apt-config-dir"
# hostPath: /etc/apt
# mountPath: /host/etc/apt
## If this list is empty, then all necessary package management directories (for all supported OSs) will be mounted.
# datadog.systemProbe.runtimeCompilationAssetDir -- Specify a directory for runtime compilation assets to live in
runtimeCompilationAssetDir: /var/tmp/datadog-agent/system-probe
# datadog.systemProbe.btfPath -- Specify the path to a BTF file for your kernel
btfPath: ""
# datadog.systemProbe.collectDNSStats -- Enable DNS stat collection
collectDNSStats: true
# datadog.systemProbe.maxTrackedConnections -- the maximum number of tracked connections
maxTrackedConnections: 131072
# datadog.systemProbe.conntrackMaxStateSize -- the maximum size of the userspace conntrack cache
conntrackMaxStateSize: 131072 # 2 * maxTrackedConnections by default, per https://github.com/DataDog/datadog-agent/blob/d1c5de31e1bba72dfac459aed5ff9562c3fdcc20/pkg/process/config/config.go#L229
# datadog.systemProbe.conntrackInitTimeout -- the time to wait for conntrack to initialize before failing
conntrackInitTimeout: 10s
# datadog.systemProbe.enableDefaultOsReleasePaths -- enable default os-release files mount
enableDefaultOsReleasePaths: true
# datadog.systemProbe.enableDefaultKernelHeadersPaths -- Enable mount of default paths where kernel headers are stored
enableDefaultKernelHeadersPaths: true
containerImageCollection:
# datadog.containerImageCollection.enabled -- Enable collection of container image metadata
# This parameter requires Agent version 7.46+
enabled: true
orchestratorExplorer:
# datadog.orchestratorExplorer.enabled -- Set this to false to disable the orchestrator explorer
## This requires processAgent.enabled and clusterAgent.enabled to be set to true
## ref: TODO - add doc link
enabled: true
# datadog.orchestratorExplorer.container_scrubbing -- Enable the scrubbing of containers in the kubernetes resource YAML for sensitive information
## The container scrubbing is taking significant resources during data collection.
## If you notice that the cluster-agent uses too much CPU in larger clusters
## turning this option off will improve the situation.
container_scrubbing:
enabled: true
# datadog.orchestratorExplorer.customResources -- Defines custom resources for the orchestrator explorer to collect
# customResources is required for RBAC creation if a custom orchestrator explorer configuration is provided in `clusterAgent.confd` or `clusterAgent.advancedConfd`
# Each item should follow group/version/name, for example
# customResources:
# - datadoghq.com/v1alpha1/datadogmetrics
# - datadoghq.com/v1alpha1/watermarkpodautoscalers
customResources: []
helmCheck:
# datadog.helmCheck.enabled -- Set this to true to enable the Helm check (Requires Agent 7.35.0+ and Cluster Agent 1.19.0+)
# This requires clusterAgent.enabled to be set to true
enabled: false
# datadog.helmCheck.collectEvents -- Set this to true to enable event collection in the Helm Check (Requires Agent 7.36.0+ and Cluster Agent 1.20.0+)
# This requires datadog.HelmCheck.enabled to be set to true
collectEvents: false
# datadog.helmCheck.valuesAsTags -- Collects Helm values from a release and uses them as tags (Requires Agent and Cluster Agent 7.40.0+).
# This requires datadog.HelmCheck.enabled to be set to true
valuesAsTags: {}
# <HELM_VALUE>: <LABEL_NAME>
networkMonitoring:
# datadog.networkMonitoring.enabled -- Enable network performance monitoring
enabled: false
serviceMonitoring:
# datadog.serviceMonitoring.enabled -- Enable Universal Service Monitoring
enabled: false
# Software Bill of Materials configuration
sbom:
containerImage:
# datadog.sbom.containerImage.enabled -- Enable SBOM collection for container images
enabled: false
# datadog.sbom.containerImage.uncompressedLayersSupport -- Use container runtime snapshotter
# This should be set to true when using EKS, GKE or if containerd is configured to
# discard uncompressed layers.
# This feature will cause the SYS_ADMIN capability to be added to the Agent container.
# Setting this to false could cause a high error rate when generating SBOMs due to missing uncompressed layer.
# See https://docs.datadoghq.com/security/cloud_security_management/troubleshooting/vulnerabilities/#uncompressed-container-image-layers
uncompressedLayersSupport: true
# datadog.sbom.containerImage.overlayFSDirectScan -- Use experimental overlayFS direct scan
overlayFSDirectScan: false
host:
# datadog.sbom.host.enabled -- Enable SBOM collection for host filesystems
enabled: false
## Enable security agent and provide custom configs
securityAgent:
compliance:
# datadog.securityAgent.compliance.enabled -- Set to true to enable Cloud Security Posture Management (CSPM)
enabled: false
# datadog.securityAgent.compliance.configMap -- Contains CSPM compliance benchmarks that will be used
configMap:
# datadog.securityAgent.compliance.checkInterval -- Compliance check run interval
checkInterval: 20m
# DEPRECATED. Use datadog.securityAgent.compliance.host_benchmarks.enabled instead.
xccdf:
enabled: false
# datadog.securityAgent.compliance.host_benchmarks.enabled -- Set to false to disable host benchmarks. If enabled, this feature requires 160 MB extra memory for the `security-agent` container. (Requires Agent 7.47.0+)
host_benchmarks:
enabled: true
runtime:
# datadog.securityAgent.runtime.enabled -- Set to true to enable Cloud Workload Security (CWS)
enabled: false
# datadog.securityAgent.runtime.fimEnabled -- Set to true to enable Cloud Workload Security (CWS) File Integrity Monitoring
fimEnabled: false
# datadog.securityAgent.runtime.useSecruntimeTrack -- Set to true to send Cloud Workload Security (CWS) events directly to the Agent events explorer
useSecruntimeTrack: true
policies:
# datadog.securityAgent.runtime.policies.configMap -- Contains CWS policies that will be used
configMap:
syscallMonitor:
# datadog.securityAgent.runtime.syscallMonitor.enabled -- Set to true to enable the Syscall monitoring (recommended for troubleshooting only)
enabled: false
network:
# datadog.securityAgent.runtime.network.enabled -- Set to true to enable the collection of CWS network events
enabled: true
activityDump:
# datadog.securityAgent.runtime.activityDump.enabled -- Set to true to enable the collection of CWS activity dumps
enabled: true
# datadog.securityAgent.runtime.activityDump.tracedCgroupsCount -- Set to the number of containers that should be traced concurrently
tracedCgroupsCount: 3
# datadog.securityAgent.runtime.activityDump.cgroupDumpTimeout -- Set to the desired duration of a single container tracing (in minutes)
cgroupDumpTimeout: 20
# datadog.securityAgent.runtime.activityDump.cgroupWaitListSize -- Set to the size of the wait list for already traced containers
cgroupWaitListSize: 0
pathMerge:
# datadog.securityAgent.runtime.activityDump.pathMerge.enabled -- Set to true to enable the merging of similar paths
enabled: false
securityProfile:
# datadog.securityAgent.runtime.securityProfile.enabled -- Set to true to enable CWS runtime security profiles
enabled: true
anomalyDetection:
# datadog.securityAgent.runtime.securityProfile.anomalyDetection.enabled -- Set to true to enable CWS runtime drift events
enabled: true
autoSuppression:
# datadog.securityAgent.runtime.securityProfile.autoSuppression.enabled -- Set to true to enable CWS runtime auto suppression
enabled: true
## Manage NetworkPolicy
networkPolicy:
# datadog.networkPolicy.create -- If true, create NetworkPolicy for all the components
create: false
# datadog.networkPolicy.flavor -- Flavor of the network policy to use.
# Can be:
# * kubernetes for networking.k8s.io/v1/NetworkPolicy
# * cilium for cilium.io/v2/CiliumNetworkPolicy
flavor: kubernetes
cilium:
# datadog.networkPolicy.cilium.dnsSelector -- Cilium selector of the DNS server entity
# @default -- kube-dns in namespace kube-system
dnsSelector:
toEndpoints:
- matchLabels:
"k8s:io.kubernetes.pod.namespace": kube-system
"k8s:k8s-app": kube-dns
## Configure prometheus scraping autodiscovery
## ref: https://docs.datadoghq.com/agent/kubernetes/prometheus/
prometheusScrape:
# datadog.prometheusScrape.enabled -- Enable autodiscovering pods and services exposing prometheus metrics.
enabled: false
# datadog.prometheusScrape.serviceEndpoints -- Enable generating dedicated checks for service endpoints.
serviceEndpoints: false
# datadog.prometheusScrape.additionalConfigs -- Allows adding advanced openmetrics check configurations with custom discovery rules. (Requires Agent version 7.27+)
additionalConfigs: []
# -
# autodiscovery:
# kubernetes_annotations:
# include:
# custom_include_label: 'true'
# exclude:
# custom_exclude_label: 'true'
# kubernetes_container_names:
# - my-app
# configurations:
# - send_distribution_buckets: true
# timeout: 5
# datadog.prometheusScrape.version -- Version of the openmetrics check to schedule by default.
# See https://datadoghq.dev/integrations-core/legacy/prometheus/#config-changes-between-versions for the differences between the two versions.
# (Version 2 requires Agent version 7.34+)
version: 2
# datadog.ignoreAutoConfig -- List of integration to ignore auto_conf.yaml.
## ref: https://docs.datadoghq.com/agent/faq/auto_conf/
ignoreAutoConfig: []
# - redisdb
# - kubernetes_state
# datadog.containerExclude -- Exclude containers from Agent Autodiscovery, as a space-separated list
## ref: https://docs.datadoghq.com/agent/guide/autodiscovery-management/?tab=containerizedagent#exclude-containers
containerExclude: # "image:datadog/agent"
# datadog.containerInclude -- Include containers in Agent Autodiscovery, as a space-separated list.
# If a container matches an include rule, it’s always included in Autodiscovery
## ref: https://docs.datadoghq.com/agent/guide/autodiscovery-management/?tab=containerizedagent#include-containers
containerInclude:
# datadog.containerExcludeLogs -- Exclude logs from Agent Autodiscovery, as a space-separated list
containerExcludeLogs:
# datadog.containerIncludeLogs -- Include logs in Agent Autodiscovery, as a space-separated list
containerIncludeLogs:
# datadog.containerExcludeMetrics -- Exclude metrics from Agent Autodiscovery, as a space-separated list
containerExcludeMetrics:
# datadog.containerIncludeMetrics -- Include metrics in Agent Autodiscovery, as a space-separated list
containerIncludeMetrics:
# datadog.excludePauseContainer -- Exclude pause containers from Agent Autodiscovery.
## ref: https://docs.datadoghq.com/agent/guide/autodiscovery-management/?tab=containerizedagent#pause-containers
excludePauseContainer: true
containerLifecycle:
# datadog.containerLifecycle.enabled -- Enable container lifecycle events collection
enabled: true
## This is the Datadog Cluster Agent implementation that handles cluster-wide
## metrics more cleanly, separates concerns for better rbac, and implements
## the external metrics API so you can autoscale HPAs based on datadog metrics
## ref: https://docs.datadoghq.com/agent/kubernetes/cluster/
clusterAgent:
# clusterAgent.enabled -- Set this to false to disable Datadog Cluster Agent
enabled: true