mirror of
https://github.com/woodpecker-ci/woodpecker.git
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71 lines
1.9 KiB
YAML
71 lines
1.9 KiB
YAML
replicaCount: 2
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image:
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registry: docker.io
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repository: woodpeckerci/woodpecker-agent
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pullPolicy: Always
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# Overrides the image tag whose default is the chart appVersion.
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tag: ""
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env:
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WOODPECKER_SERVER: "woodpecker-server.<namespace>.svc.cluster.local:9000"
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extraSecretNamesForEnvFrom:
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- woodpecker-secret
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imagePullSecrets: []
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nameOverride: ""
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fullnameOverride: ""
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serviceAccount:
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# Specifies whether a service account should be created
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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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name: ""
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podAnnotations: {}
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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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## Using topology spread constraints, you can ensure that there is at least one agent
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## pod for each topology zone, e.g. one per arch for for multi-architecture clusters
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## or one for each region for geographically distributed cloud-hosted clusters.
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## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/
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topologySpreadConstraints: []
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# - maxSkew: 1
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# topologyKey: "beta.kubernetes.io/arch"
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# whenUnsatisfiable: "DoNotSchedule"
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# labelSelector:
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# matchLabels:
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# "app.kubernetes.io/name": woodpecker-agent
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