argocd-helm/charts/argo-workflows/values.yaml

images:
  # -- imagePullPolicy to apply to all containers
  pullPolicy: Always
  # -- Secrets with credentials to pull images from a private registry
  pullSecrets: []
  # - name: argo-pull-secret

# -- Create clusterroles that extend existing clusterroles to interact with argo-cd crds
## Ref: https://kubernetes.io/docs/reference/access-authn-authz/rbac/#aggregated-clusterroles
createAggregateRoles: true

# -- String to partially override "argo-workflows.fullname" template
nameOverride:

# -- String to fully override "argo-workflows.fullname" template
fullnameOverride:

# -- Override the Kubernetes version, which is used to evaluate certain manifests
kubeVersionOverride: ""

# -- Restrict Argo to operate only in a single namespace (the namespace of the
# Helm release) by apply Roles and RoleBindings instead of the Cluster
# equivalents, and start workflow-controller with the --namespaced flag. Use it
# in clusters with strict access policy.
singleNamespace: false

workflow:
  # -- Deprecated; use controller.workflowNamespaces instead.
  namespace:
  serviceAccount:
    # -- Specifies whether a service account should be created
    create: false
    # -- Annotations applied to created service account
    annotations: {}
    # -- Service account which is used to run workflows
    name: "argo-workflow"
  rbac:
    # -- Adds Role and RoleBinding for the above specified service account to be able to run workflows.
    # A Role and Rolebinding pair is also created for each namespace in controller.workflowNamespaces (see below)
    create: true

controller:
  image:
    # -- Registry to use for the controller
    registry: quay.io
    # -- Registry to use for the controller
    repository: argoproj/workflow-controller
    # -- Overrides the image tag whose default is the chart appVersion.
    tag: ""
  # -- parallelism dictates how many workflows can be running at the same time
  parallelism:
  # -- Globally limits the rate at which pods are created.
  # This is intended to mitigate flooding of the Kubernetes API server by workflows with a large amount of
  # parallel nodes.
  resourceRateLimit: {}
    # limit: 10
    # burst: 1

  # -- Limits the maximum number of incomplete workflows in a namespace
  namespaceParallelism:
  # -- Resolves ongoing, uncommon AWS EKS bug: https://github.com/argoproj/argo-workflows/pull/4224
  initialDelay:
  # -- podAnnotations is an optional map of annotations to be applied to the controller Pods
  podAnnotations: {}
  # -- Optional labels to add to the controller pods
  podLabels: {}
  # -- SecurityContext to set on the controller pods
  podSecurityContext: {}
  # podPortName: http
  metricsConfig:
    # -- Enables prometheus metrics server
    enabled: false
    # -- Path is the path where metrics are emitted. Must start with a "/".
    path: /metrics
    # -- Port is the port where metrics are emitted
    port: 9090
    # -- Container metrics port name
    portName: metrics
    # -- Service metrics port
    servicePort: 8080
    # -- Service metrics port name
    servicePortName: metrics
  # -- the controller container's securityContext
  securityContext:
    readOnlyRootFilesystem: true
    runAsNonRoot: true
    allowPrivilegeEscalation: false
    capabilities:
      drop:
        - ALL
  # -- enable persistence using postgres
  persistence: {}
  # connectionPool:
  #   maxIdleConns: 100
  #   maxOpenConns: 0
  # # save the entire workflow into etcd and DB
  # nodeStatusOffLoad: false
  # # enable archiving of old workflows
  # archive: false
  # postgresql:
  #   host: localhost
  #   port: 5432
  #   database: postgres
  #   tableName: argo_workflows
  #   # the database secrets must be in the same namespace of the controller
  #   userNameSecret:
  #     name: argo-postgres-config
  #     key: username
  #   passwordSecret:
  #     name: argo-postgres-config
  #     key: password

  # -- Default values that will apply to all Workflows from this controller, unless overridden on the Workflow-level.
  # Only valid for 2.7+
  ## See more: https://argoproj.github.io/argo-workflows/default-workflow-specs/
  workflowDefaults: {}
  #  spec:
  #    ttlStrategy:
  #      secondsAfterCompletion: 84600

  # -- Number of workflow workers
  workflowWorkers: # 32
  # -- Number of pod workers
  podWorkers: # 32
  # -- Restricts the Workflows that the controller will process.
  # Only valid for 2.9+
  workflowRestrictions: {}
    # templateReferencing: Strict|Secure

  # telemetryConfig controls the path and port for prometheus telemetry. Telemetry is enabled and emitted in the same endpoint
  # as metrics by default, but can be overridden using this config.
  telemetryConfig:
    # -- Enables prometheus telemetry server
    enabled: false
    # -- telemetry path
    path: /telemetry
    # -- telemetry container port
    port: 8081
    # -- telemetry service port
    servicePort: 8081
    # -- telemetry service port name
    servicePortName: telemetry
  serviceMonitor:
    # -- Enable a prometheus ServiceMonitor
    enabled: false
    # -- Prometheus ServiceMonitor labels
    additionalLabels: {}
  serviceAccount:
    # -- Create a service account for the controller
    create: true
    # -- Service account name
    name: ""
    # -- Annotations applied to created service account
    annotations: {}

  # -- Workflow controller name string
  name: workflow-controller

  # -- Specify all namespaces where this workflow controller instance will manage
  # workflows. This controls where the service account and RBAC resources will
  # be created. Only valid when singleNamespace is false.
  workflowNamespaces:
    - default

  # -- Specifies the container runtime interface to use (one of: `docker`, `kubelet`, `k8sapi`, `pns`, `emissary`)
  ## Ref: https://argoproj.github.io/argo-workflows/workflow-executors/
  containerRuntimeExecutor: docker
  # -- Specifies the executor to use. This has precedence over `controller.containerRuntimeExecutor`.
  containerRuntimeExecutors: []
    # - name: emissary
    #   selector:
    #     matchLabels:
    #       workflows.argoproj.io/container-runtime-executor: emissary
  instanceID:
    # -- Configures the controller to filter workflow submissions
    # to only those which have a matching instanceID attribute.
    ## NOTE: If `instanceID.enabled` is set to `true` then either `instanceID.userReleaseName`
    ## or `instanceID.explicitID` must be defined.
    enabled: false
    # -- Use ReleaseName as instanceID
    useReleaseName: false
    # useReleaseName: true

    # -- Use a custom instanceID
    explicitID: ""
    # explicitID: unique-argo-controller-identifier

  logging:
    # -- Set the logging level (one of: `debug`, `info`, `warn`, `error`)
    level: info
    # -- Set the glog logging level
    globallevel: "0"

  # -- Service type of the controller Service
  serviceType: ClusterIP
  # -- Annotations to be applied to the controller Service
  serviceAnnotations: {}
  # -- Optional labels to add to the controller Service
  serviceLabels: {}
  # -- Source ranges to allow access to service from. Only applies to service type `LoadBalancer`
  loadBalancerSourceRanges: []

  # -- Resource limits and requests for the controller
  resources: {}

  # -- Configure liveness [probe] for the controller
  # @default -- See [values.yaml]
  livenessProbe:
    httpGet:
      port: 6060
      path: /healthz
    failureThreshold: 3
    initialDelaySeconds: 90
    periodSeconds: 60
    timeoutSeconds: 30

  # -- Extra environment variables to provide to the controller container
  extraEnv: []
    # - name: FOO
    #   value: "bar"

  # -- Extra arguments to be added to the controller
  extraArgs: []
  # -- The number of controller pods to run
  replicas: 1

  pdb:
    # -- Configure [Pod Disruption Budget] for the controller 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: {}
  # -- Leverage a PriorityClass to ensure your pods survive resource shortages.
  ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/
  priorityClassName: ""

  # -- Configure Argo Server to show custom [links]
  ## Ref: https://argoproj.github.io/argo-workflows/links/
  links: []
  clusterWorkflowTemplates:
    # -- Create a ClusterRole and CRB for the controller to access ClusterWorkflowTemplates.
    enabled: true
  # -- Extra containers to be added to the controller deployment
  extraContainers: []

# executor controls how the init and wait container should be customized
executor:
  image:
    # -- Registry to use for the Workflow Executors
    registry: quay.io
    # -- Repository to use for the Workflow Executors
    repository: argoproj/argoexec
    # -- Overrides the image tag whose default is the chart appVersion.
    tag: ""
  # -- Resource limits and requests for the Workflow Executors
  resources: {}
  # -- Adds environment variables for the executor.
  env: {}
  # -- sets security context for the executor container
  securityContext: {}

server:
  # -- Deploy the Argo Server
  enabled: true
  # -- Value for base href in index.html. Used if the server is running behind reverse proxy under subpath different from /.
  ## only updates base url of resources on client side,
  ## it's expected that a proxy server rewrites the request URL and gets rid of this prefix
  ## https://github.com/argoproj/argo-workflows/issues/716#issuecomment-433213190
  baseHref: /
  image:
    # -- Registry to use for the server
    registry: quay.io
    # -- Repository to use for the server
    repository: argoproj/argocli
    # -- Overrides the image tag whose default is the chart appVersion.
    tag: ""
  # -- optional map of annotations to be applied to the ui Pods
  podAnnotations: {}
  # -- Optional labels to add to the UI pods
  podLabels: {}
  # -- SecurityContext to set on the server pods
  podSecurityContext: {}
  # -- Servers container-level security context
  securityContext:
    readOnlyRootFilesystem: false
    runAsNonRoot: true
    allowPrivilegeEscalation: false
    capabilities:
      drop:
        - ALL
  # -- Server name string
  name: server
  # -- Service type for server pods
  serviceType: ClusterIP
  # -- Service port for server
  servicePort: 2746
  # -- Service node port
  serviceNodePort: # 32746
  # -- Service port name
  servicePortName: "" # http

  serviceAccount:
    # -- Create a service account for the server
    create: true
    # -- Service account name
    name: ""
    # -- Annotations applied to created service account
    annotations: {}

  # -- Annotations to be applied to the UI Service
  serviceAnnotations: {}
  # -- Optional labels to add to the UI Service
  serviceLabels: {}
  # -- Static IP address to assign to loadBalancer service type `LoadBalancer`
  loadBalancerIP: ""
  # -- Source ranges to allow access to service from. Only applies to service type `LoadBalancer`
  loadBalancerSourceRanges: []
  # -- Resource limits and requests for the server
  resources: {}
  # -- The number of server pods to run
  replicas: 1
  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: {}

  # -- 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://argoproj.github.io/argo-workflows/tls/
  secure: false

  # -- Extra environment variables to provide to the argo-server container
  extraEnv: []
    # - name: FOO
    #   value: "bar"

  # -- Extra arguments to provide to the Argo server binary.
  extraArgs: []

  # -- Additional volume mounts to the server main container.
  volumeMounts: []
  # -- Additional volumes to the server pod.
  volumes: []

  ## Ingress configuration.
  # ref: https://kubernetes.io/docs/user-guide/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

  clusterWorkflowTemplates:
    # -- Create a ClusterRole and CRB for the server to access ClusterWorkflowTemplates.
    enabled: true
    # -- Give the server permissions to edit ClusterWorkflowTemplates.
    enableEditing: true

  # -- SSO configuration when SSO is specified as a server auth mode.
  sso: {}
    ## All the values are required. SSO is activated by adding --auth-mode=sso
    ## to the server command line.
    #
    ## The root URL of the OIDC identity provider.
    # issuer: https://accounts.google.com
    ## Name of a secret and a key in it to retrieve the app OIDC client ID from.
    # clientId:
    #   name: argo-server-sso
    #   key: client-id
    ## Name of a secret and a key in it to retrieve the app OIDC client secret from.
    # clientSecret:
    #   name: argo-server-sso
    #   key: client-secret
    ## The OIDC redirect URL. Should be in the form <argo-root-url>/oauth2/callback.
    # redirectUrl: https://argo/oauth2/callback
    # rbac:
    #   enabled: true
    ## When present, restricts secrets the server can read to a given list.
    ## You can use it to restrict the server to only be able to access the
    ## service account token secrets that are associated with service accounts
    ## used for authorization.
    #   secretWhitelist: []
    ## Scopes requested from the SSO ID provider.  The 'groups' scope requests
    ## group membership information, which is usually used for authorization
    ## decisions.
    # scopes:
    # - groups

  # -- Extra containers to be added to the server deployment
  extraContainers: []

# -- Influences the creation of the ConfigMap for the workflow-controller itself.
useDefaultArtifactRepo: false
# -- 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: <releaseName>-minio
      key: accesskey
    secretKeySecret:
      # name: <releaseName>-minio
      key: secretkey
    insecure: true
    # bucket:
    # endpoint:
    # region:
    # roleARN:
    # useSDKCreds: 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 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