fix: Add rolebindings
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1 changed files with 22 additions and 722 deletions
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@ -46,22 +46,6 @@ workflow:
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rules: []
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controller:
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image:
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# -- Registry to use for the controller
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registry: quay.io
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# -- Registry to use for the controller
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repository: argoproj/workflow-controller
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# -- Image tag for the workflow controller. Defaults to `.Values.images.tag`.
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tag: ""
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# -- parallelism dictates how many workflows can be running at the same time
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parallelism:
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# -- Globally limits the rate at which pods are created.
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# This is intended to mitigate flooding of the Kubernetes API server by workflows with a large amount of
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# parallel nodes.
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resourceRateLimit: {}
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# limit: 10
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# burst: 1
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rbac:
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# -- Adds Role and RoleBinding for the controller.
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create: true
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@ -80,68 +64,6 @@ controller:
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# -- ConfigMap annotations
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annotations: {}
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# -- Limits the maximum number of incomplete workflows in a namespace
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namespaceParallelism:
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# -- Resolves ongoing, uncommon AWS EKS bug: https://github.com/argoproj/argo-workflows/pull/4224
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initialDelay:
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# -- deploymentAnnotations is an optional map of annotations to be applied to the controller Deployment
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deploymentAnnotations: {}
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# -- podAnnotations is an optional map of annotations to be applied to the controller Pods
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podAnnotations: {}
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# -- Optional labels to add to the controller pods
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podLabels: {}
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# -- SecurityContext to set on the controller pods
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podSecurityContext: {}
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# podPortName: http
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metricsConfig:
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# -- Enables prometheus metrics server
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enabled: false
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# -- Path is the path where metrics are emitted. Must start with a "/".
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path: /metrics
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# -- Frequency at which prometheus scrapes metrics
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interval: 30s
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# -- Port is the port where metrics are emitted
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port: 9090
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# -- How often custom metrics are cleared from memory
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metricsTTL: ""
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# -- Flag that instructs prometheus to ignore metric emission errors.
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ignoreErrors: false
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# -- Flag that use a self-signed cert for TLS
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secure: false
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# -- Container metrics port name
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portName: metrics
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# -- Service metrics port
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servicePort: 8080
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# -- Service metrics port name
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servicePortName: metrics
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# -- serviceMonitor scheme
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scheme: http
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# -- Flag to enable headless service
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headlessService: false
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# -- When true, honorLabels preserves the metric’s labels when they collide with the target’s labels.
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## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#honorlabels
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honorLabels: false
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# -- ServiceMonitor relabel configs to apply to samples before scraping
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## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#relabelconfig
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relabelings: []
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# -- ServiceMonitor metric relabel configs to apply to samples before ingestion
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## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#endpoint
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metricRelabelings: []
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# -- ServiceMonitor will add labels from the service to the Prometheus metric
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## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#servicemonitorspec
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targetLabels: []
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# -- Manipulate the metrics created by the workflow controller
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## Ref: https://argo-workflows.readthedocs.io/en/latest/metrics/#modifiers
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modifiers: {}
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# -- the controller container's securityContext
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securityContext:
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readOnlyRootFilesystem: true
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runAsNonRoot: true
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allowPrivilegeEscalation: false
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capabilities:
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drop:
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- ALL
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# -- enable Workflow Archive to store the status of workflows. Postgres and MySQL (>= 5.7.8) are available.
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## Ref: https://argo-workflows.readthedocs.io/en/stable/workflow-archive/
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persistence: {}
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@ -192,51 +114,6 @@ controller:
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# configMap: my-artifact-repository # default is "artifact-repositories"
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# key: v2-s3-artifact-repository # default can be set by the `workflows.argoproj.io/default-artifact-repository` annotation in config map.
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# -- Number of workflow workers
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workflowWorkers: # 32
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# -- Number of workflow TTL workers
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workflowTTLWorkers: # 4
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# -- Number of pod cleanup workers
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podCleanupWorkers: # 4
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# -- Number of cron workflow workers
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# Only valid for 3.5+
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cronWorkflowWorkers: # 8
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# -- Restricts the Workflows that the controller will process.
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# Only valid for 2.9+
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workflowRestrictions: {}
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# templateReferencing: Strict|Secure
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# telemetryConfig controls the path and port for prometheus telemetry. Telemetry is enabled and emitted in the same endpoint
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# as metrics by default, but can be overridden using this config.
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telemetryConfig:
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# -- Enables prometheus telemetry server
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enabled: false
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# -- telemetry path
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path: /telemetry
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# -- Frequency at which prometheus scrapes telemetry data
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interval: 30s
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# -- telemetry container port
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port: 8081
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# -- How often custom metrics are cleared from memory
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metricsTTL: ""
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# -- Flag that instructs prometheus to ignore metric emission errors.
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ignoreErrors: false
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# -- Flag that use a self-signed cert for TLS
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secure: false
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# -- telemetry service port
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servicePort: 8081
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# -- telemetry service port name
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servicePortName: telemetry
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# -- telemetry serviceMonitor scheme to use
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scheme: http
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serviceMonitor:
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# -- Enable a prometheus ServiceMonitor
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enabled: false
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# -- Prometheus ServiceMonitor labels
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additionalLabels: {}
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# -- Prometheus ServiceMonitor namespace
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namespace: "" # "monitoring"
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serviceAccount:
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# -- Create a service account for the controller
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create: true
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@ -256,20 +133,6 @@ controller:
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workflowNamespaces:
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- default
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instanceID:
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# -- Configures the controller to filter workflow submissions
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# to only those which have a matching instanceID attribute.
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## NOTE: If `instanceID.enabled` is set to `true` then either `instanceID.userReleaseName`
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## or `instanceID.explicitID` must be defined.
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enabled: false
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# -- Use ReleaseName as instanceID
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useReleaseName: false
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# useReleaseName: true
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# -- Use a custom instanceID
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explicitID: ""
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# explicitID: unique-argo-controller-identifier
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logging:
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# -- Set the logging level (one of: `debug`, `info`, `warn`, `error`)
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level: info
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@ -278,209 +141,6 @@ controller:
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# -- Set the logging format (one of: `text`, `json`)
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format: "text"
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# -- Service type of the controller Service
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serviceType: ClusterIP
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# -- Annotations to be applied to the controller Service
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serviceAnnotations: {}
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# -- Optional labels to add to the controller Service
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serviceLabels: {}
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# -- The class of the load balancer implementation
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loadBalancerClass: ""
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# -- Source ranges to allow access to service from. Only applies to service type `LoadBalancer`
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loadBalancerSourceRanges: []
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# -- Resource limits and requests for the controller
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resources: {}
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# -- Configure liveness [probe] for the controller
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# @default -- See [values.yaml]
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livenessProbe:
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httpGet:
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port: 6060
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path: /healthz
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failureThreshold: 3
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initialDelaySeconds: 90
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periodSeconds: 60
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timeoutSeconds: 30
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# -- Extra environment variables to provide to the controller container
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extraEnv: []
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# - name: FOO
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# value: "bar"
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# -- Extra arguments to be added to the controller
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extraArgs: []
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# -- Additional volume mounts to the controller main container
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volumeMounts: []
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# -- Additional volumes to the controller pod
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volumes: []
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# -- The number of controller pods to run
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replicas: 1
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# -- The number of revisions to keep.
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revisionHistoryLimit: 10
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pdb:
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# -- Configure [Pod Disruption Budget] for the controller pods
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enabled: false
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# minAvailable: 1
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# maxUnavailable: 1
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# -- [Node selector]
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nodeSelector:
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kubernetes.io/os: linux
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# -- [Tolerations] for use with node taints
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tolerations: []
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# -- Assign custom [affinity] rules
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affinity: {}
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# -- Assign custom [TopologySpreadConstraints] rules to the workflow controller
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## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/
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## If labelSelector is left out, it will default to the labelSelector configuration of the deployment
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topologySpreadConstraints: []
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# - maxSkew: 1
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# topologyKey: topology.kubernetes.io/zone
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# whenUnsatisfiable: DoNotSchedule
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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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priorityClassName: ""
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# -- Configure Argo Server to show custom [links]
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## Ref: https://argo-workflows.readthedocs.io/en/stable/links/
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links: []
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# -- Configure Argo Server to show custom [columns]
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## Ref: https://github.com/argoproj/argo-workflows/pull/10693
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columns: []
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# -- Set ui navigation bar background color
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navColor: ""
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clusterWorkflowTemplates:
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# -- Create a ClusterRole and CRB for the controller to access ClusterWorkflowTemplates.
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enabled: true
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# -- Extra service accounts to be added to the ClusterRoleBinding
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serviceAccounts: []
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# - name: my-service-account
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# namespace: my-namespace
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# -- Extra containers to be added to the controller deployment
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extraContainers: []
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# -- Enables init containers to be added to the controller deployment
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extraInitContainers: []
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# -- Workflow retention by number of workflows
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retentionPolicy: {}
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# completed: 10
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# failed: 3
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# errored: 3
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nodeEvents:
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# -- Enable to emit events on node completion.
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## This can take up a lot of space in k8s (typically etcd) resulting in errors when trying to create new events:
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## "Unable to create audit event: etcdserver: mvcc: database space exceeded"
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enabled: true
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workflowEvents:
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# -- Enable to emit events on workflow status changes.
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## This can take up a lot of space in k8s (typically etcd), resulting in errors when trying to create new events:
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## "Unable to create audit event: etcdserver: mvcc: database space exceeded"
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enabled: true
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# -- Configure when workflow controller runs in a different k8s cluster with the workflow workloads,
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# or needs to communicate with the k8s apiserver using an out-of-cluster kubeconfig secret.
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# @default -- `{}` (See [values.yaml])
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kubeConfig: {}
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# # name of the kubeconfig secret, may not be empty when kubeConfig specified
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# secretName: kubeconfig-secret
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# # key of the kubeconfig secret, may not be empty when kubeConfig specified
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# secretKey: kubeconfig
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# # mounting path of the kubeconfig secret, default to /kube/config
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# mountPath: /kubeconfig/mount/path
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# # volume name when mounting the secret, default to kubeconfig
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# volumeName: kube-config-volume
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# -- Specifies the duration in seconds before a terminating pod is forcefully killed. A zero value indicates that the pod will be forcefully terminated immediately.
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# @default -- `30` seconds (Kubernetes default)
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podGCGracePeriodSeconds:
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# -- The duration in seconds before the pods in the GC queue get deleted. A zero value indicates that the pods will be deleted immediately.
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# @default -- `5s` (Argo Workflows default)
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podGCDeleteDelayDuration: ""
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# -- enable Synchronization to use a database. Postgres and MySQL (>= 5.7.8) are available.
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## Ref: https://argo-workflows.readthedocs.io/en/latest/workflow-controller-configmap/#syncconfig
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synchronization: {}
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# controllerName: argo-workflows
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# connectionPool:
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# maxIdleConns: 100
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# maxOpenConns: 0
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# postgresql:
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# host: localhost
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# port: 5432
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# database: postgres
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# tableName: argo_workflows
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# # the database secrets must be in the same namespace of the controller
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# userNameSecret:
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# name: argo-postgres-config
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# key: username
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# passwordSecret:
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# name: argo-postgres-config
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# key: password
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# ssl: true
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# # sslMode must be one of: disable, require, verify-ca, verify-full
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# # you can find more information about those ssl options here: https://godoc.org/github.com/lib/pq
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# sslMode: require
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# mysql:
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# host: localhost
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# port: 3306
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# database: argo
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# tableName: argo_workflows
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# userNameSecret:
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# name: argo-mysql-config
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# key: username
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# passwordSecret:
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# name: argo-mysql-config
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# key: password
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failedPodRestart:
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# -- Enable to restart of pods that fail before entering Running state.
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## This is useful for recovering from transient infrastructure issues like node eviction due to DiskPressure or MemoryPressure without requiring a retryStrategy on every template.
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## ref: https://argo-workflows.readthedocs.io/en/latest/pod-restarts/
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enabled: false
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# -- Maximum number of automatic restarts per node before giving up.
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maxRestarts: 3
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# mainContainer adds default config for main container that could be overriden in workflows template
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mainContainer:
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# -- imagePullPolicy to apply to Workflow main container. Defaults to `.Values.images.pullPolicy`.
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imagePullPolicy: ""
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# -- Resource limits and requests for the Workflow main container
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resources: {}
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# -- Adds environment variables for the Workflow main container
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env: []
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# -- Adds reference environment variables for the Workflow main container
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envFrom: []
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# -- sets security context for the Workflow main container
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securityContext: {}
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# executor controls how the init and wait container should be customized
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executor:
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image:
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# -- Registry to use for the Workflow Executors
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registry: quay.io
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# -- Repository to use for the Workflow Executors
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repository: argoproj/argoexec
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# -- Image tag for the workflow executor. Defaults to `.Values.images.tag`.
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tag: ""
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# -- Image PullPolicy to use for the Workflow Executors. Defaults to `.Values.images.pullPolicy`.
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pullPolicy: ""
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# -- Resource limits and requests for the Workflow Executors
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resources: {}
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# -- Passes arguments to the executor processes
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args: []
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# -- Adds environment variables for the executor.
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env: []
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# -- sets security context for the executor container
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securityContext: {}
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server:
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# -- Deploy the Argo Server
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enabled: true
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@ -496,44 +156,10 @@ server:
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repository: argoproj/argocli
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# -- Image tag for the Argo Workflows server. Defaults to `.Values.images.tag`.
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tag: ""
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# -- optional map of annotations to be applied to the ui Deployment
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deploymentAnnotations: {}
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# -- optional map of annotations to be applied to the ui Pods
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podAnnotations: {}
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# -- Optional labels to add to the UI pods
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podLabels: {}
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# -- SecurityContext to set on the server pods
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podSecurityContext: {}
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rbac:
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# -- Adds Role and RoleBinding for the server.
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create: true
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# -- Servers container-level security context
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securityContext:
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readOnlyRootFilesystem: false
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runAsNonRoot: true
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allowPrivilegeEscalation: false
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capabilities:
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drop:
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- ALL
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# -- Server name string
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name: server
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# -- Service type for server pods
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serviceType: ClusterIP
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# -- Service port for server
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servicePort: 2746
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# -- Service target port for server
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serviceTargetPort: 2746
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# -- Service node port
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serviceNodePort: # 32746
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# -- Service port name
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servicePortName: "" # http
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# -- Mapping between IP and hostnames that will be injected as entries in the pod's hosts files
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hostAliases: []
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# - ip: 10.20.30.40
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# hostnames:
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# - git.myhostname
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serviceAccount:
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# -- Create a service account for the server
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create: true
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@ -544,192 +170,16 @@ server:
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# -- Annotations applied to created service account
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annotations: {}
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# -- Annotations to be applied to the UI Service
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serviceAnnotations: {}
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# -- Optional labels to add to the UI Service
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serviceLabels: {}
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# -- The class of the load balancer implementation
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loadBalancerClass: ""
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# -- Static IP address to assign to loadBalancer service type `LoadBalancer`
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loadBalancerIP: ""
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# -- Source ranges to allow access to service from. Only applies to service type `LoadBalancer`
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loadBalancerSourceRanges: []
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# -- Resource limits and requests for the server
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resources: {}
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# -- The number of server pods to run
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replicas: 1
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# -- The number of revisions to keep.
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revisionHistoryLimit: 10
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## Argo Server Horizontal Pod Autoscaler
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autoscaling:
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# -- Enable Horizontal Pod Autoscaler ([HPA]) for the Argo Server
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enabled: false
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# -- Minimum number of replicas for the Argo Server [HPA]
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minReplicas: 1
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# -- Maximum number of replicas for the Argo Server [HPA]
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maxReplicas: 5
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# -- Average CPU utilization percentage for the Argo Server [HPA]
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targetCPUUtilizationPercentage: 50
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# -- Average memory utilization percentage for the Argo Server [HPA]
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targetMemoryUtilizationPercentage: 50
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# -- Configures the scaling behavior of the target in both Up and Down directions.
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# This is only available on HPA apiVersion `autoscaling/v2beta2` and newer
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behavior: {}
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# scaleDown:
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# stabilizationWindowSeconds: 300
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# policies:
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# - type: Pods
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# value: 1
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# periodSeconds: 180
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# scaleUp:
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# stabilizationWindowSeconds: 300
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# policies:
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# - type: Pods
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# value: 2
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pdb:
|
||||
# -- Configure [Pod Disruption Budget] for the server pods
|
||||
enabled: false
|
||||
# minAvailable: 1
|
||||
# maxUnavailable: 1
|
||||
|
||||
# -- [Node selector]
|
||||
nodeSelector:
|
||||
kubernetes.io/os: linux
|
||||
|
||||
# -- [Tolerations] for use with node taints
|
||||
tolerations: []
|
||||
|
||||
# -- Assign custom [affinity] rules
|
||||
affinity: {}
|
||||
|
||||
# -- Assign custom [TopologySpreadConstraints] rules to the argo server
|
||||
## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/
|
||||
## If labelSelector is left out, it will default to the labelSelector configuration of the deployment
|
||||
topologySpreadConstraints: []
|
||||
# - maxSkew: 1
|
||||
# topologyKey: topology.kubernetes.io/zone
|
||||
# whenUnsatisfiable: DoNotSchedule
|
||||
|
||||
# -- Leverage a PriorityClass to ensure your pods survive resource shortages
|
||||
## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/
|
||||
priorityClassName: ""
|
||||
|
||||
# -- Run the argo server in "secure" mode. Configure this value instead of `--secure` in extraArgs.
|
||||
## See the following documentation for more details on secure mode:
|
||||
## https://argo-workflows.readthedocs.io/en/stable/tls/
|
||||
secure: false
|
||||
|
||||
# -- Extra environment variables to provide to the argo-server container
|
||||
extraEnv: []
|
||||
# - name: FOO
|
||||
# value: "bar"
|
||||
|
||||
# -- Deprecated; use server.authModes instead.
|
||||
authMode: ""
|
||||
|
||||
# -- A list of supported authentication modes. Available values are `server`, `client`, or `sso`. If you provide sso, please configure `.Values.server.sso` as well.
|
||||
## Ref: https://argo-workflows.readthedocs.io/en/stable/argo-server-auth-mode/
|
||||
authModes:
|
||||
- sso
|
||||
|
||||
# -- Extra arguments to provide to the Argo server binary.
|
||||
## Ref: https://argo-workflows.readthedocs.io/en/stable/argo-server/#options
|
||||
extraArgs: []
|
||||
|
||||
logging:
|
||||
# -- Set the logging level (one of: `debug`, `info`, `warn`, `error`)
|
||||
level: info
|
||||
# -- Set the glog logging level
|
||||
globallevel: "0"
|
||||
# -- Set the logging format (one of: `text`, `json`)
|
||||
format: "text"
|
||||
|
||||
# -- Volume to be mounted in Pods for temporary files.
|
||||
tmpVolume:
|
||||
emptyDir: {}
|
||||
# -- Additional volume mounts to the server main container.
|
||||
volumeMounts: []
|
||||
# -- Additional volumes to the server pod.
|
||||
volumes: []
|
||||
|
||||
## Ingress configuration.
|
||||
# ref: https://kubernetes.io/docs/concepts/services-networking/ingress/
|
||||
ingress:
|
||||
# -- Enable an ingress resource
|
||||
enabled: false
|
||||
# -- Additional ingress annotations
|
||||
annotations: {}
|
||||
# -- Additional ingress labels
|
||||
labels: {}
|
||||
# -- Defines which ingress controller will implement the resource
|
||||
ingressClassName: ""
|
||||
|
||||
# -- List of ingress hosts
|
||||
## Hostnames must be provided if Ingress is enabled.
|
||||
## Secrets must be manually created in the namespace
|
||||
hosts: []
|
||||
# - argoworkflows.example.com
|
||||
|
||||
# -- List of ingress paths
|
||||
paths:
|
||||
- /
|
||||
|
||||
# -- Ingress path type. One of `Exact`, `Prefix` or `ImplementationSpecific`
|
||||
pathType: Prefix
|
||||
# -- Additional ingress paths
|
||||
extraPaths: []
|
||||
# - path: /*
|
||||
# backend:
|
||||
# serviceName: ssl-redirect
|
||||
# servicePort: use-annotation
|
||||
## for Kubernetes >=1.19 (when "networking.k8s.io/v1" is used)
|
||||
# - path: /*
|
||||
# pathType: Prefix
|
||||
# backend:
|
||||
# service
|
||||
# name: ssl-redirect
|
||||
# port:
|
||||
# name: use-annotation
|
||||
|
||||
# -- Ingress TLS configuration
|
||||
tls: []
|
||||
# - secretName: argoworkflows-example-tls
|
||||
# hosts:
|
||||
# - argoworkflows.example.com
|
||||
|
||||
## Create a Google Backendconfig for use with the GKE Ingress Controller
|
||||
## https://cloud.google.com/kubernetes-engine/docs/how-to/ingress-configuration#configuring_ingress_features_through_backendconfig_parameters
|
||||
GKEbackendConfig:
|
||||
# -- Enable BackendConfig custom resource for Google Kubernetes Engine
|
||||
enabled: false
|
||||
# -- [BackendConfigSpec]
|
||||
spec: {}
|
||||
# spec:
|
||||
# iap:
|
||||
# enabled: true
|
||||
# oauthclientCredentials:
|
||||
# secretName: argoworkflows-secret
|
||||
|
||||
## Create a Google Managed Certificate for use with the GKE Ingress Controller
|
||||
## https://cloud.google.com/kubernetes-engine/docs/how-to/managed-certs
|
||||
GKEmanagedCertificate:
|
||||
# -- Enable ManagedCertificate custom resource for Google Kubernetes Engine.
|
||||
enabled: false
|
||||
# -- Domains for the Google Managed Certificate
|
||||
domains:
|
||||
- argoworkflows.example.com
|
||||
|
||||
## Create a Google FrontendConfig Custom Resource, for use with the GKE Ingress Controller
|
||||
## https://cloud.google.com/kubernetes-engine/docs/how-to/ingress-features#configuring_ingress_features_through_frontendconfig_parameters
|
||||
GKEfrontendConfig:
|
||||
# -- Enable FrontConfig custom resource for Google Kubernetes Engine
|
||||
enabled: false
|
||||
# -- [FrontendConfigSpec]
|
||||
spec: {}
|
||||
# spec:
|
||||
# redirectToHttps:
|
||||
# enabled: true
|
||||
# responseCodeName: RESPONSE_CODE
|
||||
|
||||
# Gateway API HTTPRoute configuration
|
||||
# NOTE: Gateway API support is in EXPERIMENTAL status
|
||||
|
|
@ -820,39 +270,6 @@ server:
|
|||
rbac:
|
||||
enabled: true
|
||||
|
||||
# -- Extra containers to be added to the server deployment
|
||||
extraContainers: []
|
||||
|
||||
# -- Enables init containers to be added to the server deployment
|
||||
extraInitContainers: []
|
||||
|
||||
# -- Specify postStart and preStop lifecycle hooks for server container
|
||||
lifecycle: {}
|
||||
|
||||
# -- terminationGracePeriodSeconds for container lifecycle hook
|
||||
terminationGracePeriodSeconds: 30
|
||||
|
||||
## livenessProbe for server
|
||||
## Ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/
|
||||
livenessProbe:
|
||||
# -- Enable Kubernetes liveness probe for server
|
||||
enabled: false
|
||||
httpGet:
|
||||
# -- Http port to use for the liveness probe
|
||||
port: 2746
|
||||
# -- Http path to use for the liveness probe
|
||||
path: /
|
||||
# -- Minimum consecutive failures for the [probe] to be considered failed after having succeeded
|
||||
failureThreshold: 3
|
||||
# -- Number of seconds after the container has started before [probe] is initiated
|
||||
initialDelaySeconds: 10
|
||||
# -- How often (in seconds) to perform the [probe]
|
||||
periodSeconds: 10
|
||||
# -- Number of seconds after which the [probe] times out
|
||||
timeoutSeconds: 1
|
||||
# -- Minimum consecutive successes for the [probe] to be considered successful after having failed
|
||||
successThreshold: 1
|
||||
|
||||
# -- Array of extra K8s manifests to deploy
|
||||
extraObjects:
|
||||
- apiVersion: v1
|
||||
|
|
@ -885,142 +302,25 @@ extraObjects:
|
|||
workflows.argoproj.io/rbac-rule: "true"
|
||||
workflows.argoproj.io/rbac-rule-precedence: "0"
|
||||
|
||||
# -- Use static credentials for S3 (eg. when not using AWS IRSA)
|
||||
useStaticCredentials: true
|
||||
artifactRepository:
|
||||
# -- Archive the main container logs as an artifact
|
||||
archiveLogs: false
|
||||
# -- Store artifact in a S3-compliant object store
|
||||
# @default -- See [values.yaml]
|
||||
s3: {}
|
||||
# # Note the `key` attribute is not the actual secret, it's the PATH to
|
||||
# # the contents in the associated secret, as defined by the `name` attribute.
|
||||
# accessKeySecret:
|
||||
# name: "{{ .Release.Name }}-minio"
|
||||
# key: accesskey
|
||||
# secretKeySecret:
|
||||
# name: "{{ .Release.Name }}-minio"
|
||||
# key: secretkey
|
||||
# sessionTokenSecret:
|
||||
# name: "{{ .Release.Name }}-minio"
|
||||
# key: sessionToken
|
||||
# # insecure will disable TLS. Primarily used for minio installs not configured with TLS
|
||||
# insecure: false
|
||||
# caSecret:
|
||||
# name: ca-root
|
||||
# key: cert.pem
|
||||
# bucket:
|
||||
# endpoint:
|
||||
# region:
|
||||
# roleARN:
|
||||
# useSDKCreds: true
|
||||
# encryptionOptions:
|
||||
# enableEncryption: true
|
||||
# -- Store artifact in a GCS object store
|
||||
# @default -- `{}` (See [values.yaml])
|
||||
gcs: {}
|
||||
# bucket: <project>-argo
|
||||
# keyFormat: "{{ \"{{workflow.namespace}}/{{workflow.name}}/{{pod.name}}\" }}"
|
||||
# # serviceAccountKeySecret is a secret selector.
|
||||
# # It references the k8s secret named 'my-gcs-credentials'.
|
||||
# # This secret is expected to have the key 'serviceAccountKey',
|
||||
# # containing the base64 encoded credentials
|
||||
# # to the bucket.
|
||||
# #
|
||||
# # If it's running on GKE and Workload Identity is used,
|
||||
# # serviceAccountKeySecret is not needed.
|
||||
# serviceAccountKeySecret:
|
||||
# name: my-gcs-credentials
|
||||
# key: serviceAccountKey
|
||||
# -- Store artifact in Azure Blob Storage
|
||||
# @default -- `{}` (See [values.yaml])
|
||||
azure: {}
|
||||
# endpoint: https://mystorageaccountname.blob.core.windows.net
|
||||
# container: my-container-name
|
||||
# blobNameFormat: path/in/container
|
||||
# # accountKeySecret is a secret selector.
|
||||
# # It references the k8s secret named 'my-azure-storage-credentials'.
|
||||
# # This secret is expected to have the key 'account-access-key',
|
||||
# # containing the base64 encoded credentials to the storage account.
|
||||
# # If a managed identity has been assigned to the machines running the
|
||||
# # workflow (e.g., https://docs.microsoft.com/en-us/azure/aks/use-managed-identity)
|
||||
# # then accountKeySecret is not needed, and useSDKCreds should be
|
||||
# # set to true instead:
|
||||
# useSDKCreds: true
|
||||
# accountKeySecret:
|
||||
# name: my-azure-storage-credentials
|
||||
# key: account-access-key
|
||||
|
||||
# -- The section of custom artifact repository.
|
||||
# Utilize a custom artifact repository that is not one of the current base ones (s3, gcs, azure)
|
||||
customArtifactRepository: {}
|
||||
# artifactory:
|
||||
# repoUrl: https://artifactory.example.com/raw
|
||||
# usernameSecret:
|
||||
# name: artifactory-creds
|
||||
# key: username
|
||||
# passwordSecret:
|
||||
# name: artifactory-creds
|
||||
# key: password
|
||||
|
||||
# -- The section of [artifact repository ref](https://argo-workflows.readthedocs.io/en/stable/artifact-repository-ref/).
|
||||
# Each map key is the name of configmap
|
||||
# @default -- `{}` (See [values.yaml])
|
||||
artifactRepositoryRef: {}
|
||||
# # -- 1st ConfigMap
|
||||
# # If you want to use this config map by default, name it "artifact-repositories".
|
||||
# # Otherwise, you can provide a reference to a
|
||||
# # different config map in `artifactRepositoryRef.configMap`.
|
||||
# artifact-repositories:
|
||||
# # -- v3.0 and after - if you want to use a specific key, put that key into this annotation.
|
||||
# annotations:
|
||||
# workflows.argoproj.io/default-artifact-repository: default-v1-s3-artifact-repository
|
||||
# # 1st data of configmap. See above artifactRepository or customArtifactRepository.
|
||||
# default-v1-s3-artifact-repository:
|
||||
# archiveLogs: false
|
||||
# s3:
|
||||
# bucket: my-bucket
|
||||
# endpoint: minio:9000
|
||||
# insecure: true
|
||||
# accessKeySecret:
|
||||
# name: my-minio-cred
|
||||
# key: accesskey
|
||||
# secretKeySecret:
|
||||
# name: my-minio-cred
|
||||
# key: secretkey
|
||||
# # 2nd data
|
||||
# oss-artifact-repository:
|
||||
# archiveLogs: false
|
||||
# oss:
|
||||
# endpoint: http://oss-cn-zhangjiakou-internal.aliyuncs.com
|
||||
# bucket: $mybucket
|
||||
# # accessKeySecret and secretKeySecret are secret selectors.
|
||||
# # It references the k8s secret named 'bucket-workflow-artifect-credentials'.
|
||||
# # This secret is expected to have the keys 'accessKey'
|
||||
# # and 'secretKey', containing the base64 encoded credentials
|
||||
# # to the bucket.
|
||||
# accessKeySecret:
|
||||
# name: $mybucket-credentials
|
||||
# key: accessKey
|
||||
# secretKeySecret:
|
||||
# name: $mybucket-credentials
|
||||
# key: secretKey
|
||||
# # 2nd ConfigMap
|
||||
# another-artifact-repositories:
|
||||
# annotations:
|
||||
# workflows.argoproj.io/default-artifact-repository: gcs
|
||||
# gcs:
|
||||
# bucket: my-bucket
|
||||
# keyFormat: prefix/in/bucket/{{workflow.name}}/{{pod.name}}
|
||||
# serviceAccountKeySecret:
|
||||
# name: my-gcs-credentials
|
||||
# key: serviceAccountKey
|
||||
|
||||
emissary:
|
||||
# -- The command/args for each image on workflow, needed when the command is not specified and the emissary executor is used.
|
||||
## See more: https://argo-workflows.readthedocs.io/en/stable/workflow-executors/#emissary-emissary
|
||||
images: []
|
||||
# argoproj/argosay:v2:
|
||||
# cmd: [/argosay]
|
||||
# docker/whalesay:latest:
|
||||
# cmd: [/bin/bash]
|
||||
- apiVersion: rbac.authorization.k8s.io/v1
|
||||
kind: ClusterRoleBinding
|
||||
metadata:
|
||||
name: argo-admin-user
|
||||
subjects:
|
||||
- kind: ServiceAccount
|
||||
name: admin-user
|
||||
roleRef:
|
||||
kind: ClusterRole
|
||||
name: argo-admin
|
||||
apiGroup: rbac.authorization.k8s.io
|
||||
- apiVersion: rbac.authorization.k8s.io/v1
|
||||
kind: ClusterRoleBinding
|
||||
metadata:
|
||||
name: argo-read-only
|
||||
subjects:
|
||||
- kind: ServiceAccount
|
||||
name: read-only
|
||||
roleRef:
|
||||
kind: ClusterRole
|
||||
name: argo-view
|
||||
apiGroup: rbac.authorization.k8s.io
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue