138 lines
4.8 KiB
YAML
138 lines
4.8 KiB
YAML
# Default values for gha-runner-scale-set-controller.
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# This is a YAML-formatted file.
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# Declare variables to be passed into your templates.
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labels: {}
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# leaderElection will be enabled when replicaCount>1,
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# So, only one replica will in charge of reconciliation at a given time
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# leaderElectionId will be set to {{ define gha-runner-scale-set-controller.fullname }}.
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replicaCount: 1
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image:
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repository: "ghcr.io/actions/gha-runner-scale-set-controller"
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pullPolicy: IfNotPresent
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# Overrides the image tag whose default is the chart appVersion.
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tag: ""
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imagePullSecrets: []
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nameOverride: ""
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fullnameOverride: ""
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env:
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## Define environment variables for the controller pod
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# - name: "ENV_VAR_NAME_1"
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# value: "ENV_VAR_VALUE_1"
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# - name: "ENV_VAR_NAME_2"
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# valueFrom:
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# secretKeyRef:
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# key: ENV_VAR_NAME_2
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# name: secret-name
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# optional: true
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serviceAccount:
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# Specifies whether a service account should be created for running the controller pod
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create: true
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# Annotations to add to the service account
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annotations: {}
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# The name of the service account to use.
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# If not set and create is true, a name is generated using the fullname template
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# You can not use the default service account for this.
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name: ""
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podAnnotations: {}
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podLabels: {}
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podSecurityContext: {}
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# fsGroup: 2000
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securityContext: {}
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# capabilities:
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# drop:
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# - ALL
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# readOnlyRootFilesystem: true
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# runAsNonRoot: true
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# runAsUser: 1000
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resources: {}
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## We usually recommend not to specify default resources and to leave this as a conscious
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## choice for the user. This also increases chances charts run on environments with little
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## resources, such as Minikube. If you do want to specify resources, uncomment the following
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## lines, adjust them as necessary, and remove the curly braces after 'resources:'.
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# limits:
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# cpu: 100m
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# memory: 128Mi
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# requests:
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# cpu: 100m
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# memory: 128Mi
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nodeSelector: {}
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tolerations: []
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affinity: {}
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topologySpreadConstraints: []
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# Mount volumes in the container.
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volumes: []
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volumeMounts: []
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# Leverage a PriorityClass to ensure your pods survive resource shortages
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# ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/
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# PriorityClass: system-cluster-critical
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priorityClassName: ""
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## If `metrics:` object is not provided, or commented out, the following flags
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## will be applied the controller-manager and listener pods with empty values:
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## `--metrics-addr`, `--listener-metrics-addr`, `--listener-metrics-endpoint`.
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## This will disable metrics.
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##
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## To enable metrics, uncomment the following lines.
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# metrics:
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# controllerManagerAddr: ":8080"
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# listenerAddr: ":8080"
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# listenerEndpoint: "/metrics"
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flags:
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## Log level can be set here with one of the following values: "debug", "info", "warn", "error".
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## Defaults to "debug".
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logLevel: "debug"
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## Log format can be set with one of the following values: "text", "json"
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## Defaults to "text"
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logFormat: "text"
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## Restricts the controller to only watch resources in the desired namespace.
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## Defaults to watch all namespaces when unset.
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# watchSingleNamespace: ""
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## The maximum number of concurrent reconciles which can be run by the EphemeralRunner controller.
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# Increase this value to improve the throughput of the controller.
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# It may also increase the load on the API server and the external service (e.g. GitHub API).
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runnerMaxConcurrentReconciles: 2
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## Defines how the controller should handle upgrades while having running jobs.
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##
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## The strategies available are:
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## - "immediate": (default) The controller will immediately apply the change causing the
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## recreation of the listener and ephemeral runner set. This can lead to an
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## overprovisioning of runners, if there are pending / running jobs. This should not
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## be a problem at a small scale, but it could lead to a significant increase of
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## resources if you have a lot of jobs running concurrently.
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##
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## - "eventual": The controller will remove the listener and ephemeral runner set
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## immediately, but will not recreate them (to apply changes) until all
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## pending / running jobs have completed.
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## This can lead to a longer time to apply the change but it will ensure
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## that you don't have any overprovisioning of runners.
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updateStrategy: "immediate"
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## Defines a list of prefixes that should not be propagated to internal resources.
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## This is useful when you have labels that are used for internal purposes and should not be propagated to internal resources.
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## See https://github.com/actions/actions-runner-controller/issues/3533 for more information.
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##
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## By default, all labels are propagated to internal resources
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## Labels that match prefix specified in the list are excluded from propagation.
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# excludeLabelPropagationPrefixes:
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# - "argocd.argoproj.io/instance"
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