argo-workflows

images:

# -- Common tag for Argo Workflows images. Defaults to `.Chart.AppVersion`.

tag: ""

# -- imagePullPolicy to apply to all containers

pullPolicy: Always

# -- Secrets with credentials to pull images from a private registry

pullSecrets: []

# - name: argo-pull-secret

## Custom resource configuration

crds:

# -- Install and upgrade CRDs

install: true

# -- Keep CRDs on chart uninstall

keep: true

# -- Use full CRDs with complete OpenAPI schemas. When false, uses minified CRDs with x-kubernetes-preserve-unknown-fields.

# Full CRDs are very large and are installed via a pre-install/pre-upgrade hook Job that uses server-side apply.

full: true

# -- Annotations to be added to all CRDs (only applies when crds.full=false)

annotations: {}

# Configuration for the CRD install Job (only used when crds.full=true)

upgradeJob:

# -- Image for the container that applies the full CRDs. It bundles the CRDs for its own tag, so keep it in step with the app version.

## Ref: https://argo-workflows.readthedocs.io/en/latest/crd-installer/

image:

# -- Registry to use for the CRD installer

registry: cgr.dev

# -- Repository to use for the CRD installer

repository: chainguard-private/kubectl

# -- Image tag for the CRD installer. Defaults to `.Values.images.tag`.

tag: 1.37.1-r3@sha256:c55695bc149aac79ba709a3bd1367d7a9ddb639bc748a6afbbeba0105da90cc6

# -- Resources for the CRD install Job containers

resources: {}

# -- Node selector for the CRD install Job

nodeSelector: {}

# -- Pod security context for the CRD install Job pod

podSecurityContext: {}

# -- Optional labels to add to the CRD install Job pod

podLabels: {}

# -- Tolerations for the CRD install Job

tolerations: []

# -- Image pull secrets for the CRD install Job

# @default -- `.Values.images.pullSecrets`

imagePullSecrets: []

# -- Security context for the CRD install Job container

securityContext:

readOnlyRootFilesystem: true

runAsNonRoot: true

allowPrivilegeEscalation: false

runAsUser: 8737

runAsGroup: 8737

seccompProfile:

type: RuntimeDefault

capabilities:

drop:

- ALL

# -- Extra environment variables to provide to the CRD install Job container

extraEnv: []

# -- Create ClusterRoles that extend existing ClusterRoles to interact with Argo Workflows 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 namespace

# @default -- `.Release.Namespace`

namespaceOverride: ""

# -- Labels to set on all resources

commonLabels: {}

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

kubeVersionOverride: ""

# Override APIVersions

apiVersionOverrides:

# -- String to override apiVersion of autoscaling rendered by this helm chart

autoscaling: "" # autoscaling/v2

# -- String to override apiVersion of GKE resources rendered by this helm chart

cloudgoogle: "" # cloud.google.com/v1

# -- String to override apiVersion of monitoring CRDs (ServiceMonitor) rendered by this helm chart

monitoring: "" # monitoring.coreos.com/v1

# -- 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

# -- Specifies whether a secret for each service account should be created

createSecret: false

# -- Labels applied to created service account

labels: {}

# -- Annotations applied to created service account

annotations: {}

# -- Service account which is used to run workflows

name: "argo-workflow"

# -- Secrets with credentials to pull images from a private registry. Same format as `.Values.images.pullSecrets`

pullSecrets: []

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

# -- Allows permissions for the Argo Agent. Only required if using http/plugin templates

agentPermissions: false

# -- Allows permissions for the Argo Artifact GC pod. Only required if using artifact gc

artifactGC: false

# -- Extra service accounts to be added to the RoleBinding

serviceAccounts: []

# - name: my-service-account

# namespace: my-namespace

# -- Additional rules for the service account that runs the workflows.

rules: []

controller:

image:

# -- Registry to use for the controller

registry: cgr.dev

# -- Registry to use for the controller

repository: chainguard-private/argo-workflowcontroller

# -- Image tag for the workflow controller. Defaults to `.Values.images.tag`.

tag: 4.1.6-r0@sha256:3c0e2e901bdd94066c232b4600fcc70ade2dce0704998900b4a95df56f4e0da1

# -- 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

rbac:

# -- Adds Role and RoleBinding for the controller.

create: true

# -- Allows controller to get, list, and watch certain k8s secrets

secretWhitelist: []

# -- Allows controller to get, list and watch all k8s secrets. Can only be used if secretWhitelist is empty.

accessAllSecrets: false

# -- Allows controller to create and update ConfigMaps. Enables memoization feature

writeConfigMaps: false

configMap:

# -- Create a ConfigMap for the controller

create: true

# -- ConfigMap name

name: ""

# -- ConfigMap annotations

annotations: {}

# -- Add checksum/config pod annotation to restart the controller when the ConfigMap changes. Alternative to the built-in config watcher; does not cover semaphore ConfigMaps.

restartOnChange: false

# -- 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:

# -- deploymentAnnotations is an optional map of annotations to be applied to the controller Deployment

deploymentAnnotations: {}

# -- 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: {}

# -- [DNS configuration](https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#pod-dns-config) for controller pods

dnsConfig: {}

# -- Alternative DNS policy for controller pods

dnsPolicy: ""

# podPortName: http

metricsConfig:

# -- Enables prometheus metrics server

enabled: false

# -- Path is the path where metrics are emitted. Must start with a "/".

path: /metrics

# -- Frequency at which prometheus scrapes metrics

interval: 30s

# -- Prometheus ServiceMonitor scrapeTimeout. If empty, Prometheus uses the global scrape timeout unless it is less than the target's scrape interval value in which the latter is used.

scrapeTimeout: ""

# -- Port is the port where metrics are emitted

port: 9090

# -- How often custom metrics are cleared from memory

metricsTTL: ""

# -- Flag that instructs prometheus to ignore metric emission errors.

ignoreErrors: false

# -- Flag that use a self-signed cert for TLS

secure: false

# -- Container metrics port name

portName: metrics

# -- Service metrics port

servicePort: 8080

# -- Service metrics port name

servicePortName: metrics

# -- serviceMonitor scheme

scheme: http

# -- Flag to enable headless service

headlessService: false

# -- When true, honorLabels preserves the metric’s labels when they collide with the target’s labels.

## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#honorlabels

honorLabels: false

# -- ServiceMonitor relabel configs to apply to samples before scraping

## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#relabelconfig

relabelings: []

# -- ServiceMonitor metric relabel configs to apply to samples before ingestion

## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#endpoint

metricRelabelings: []

# -- ServiceMonitor will add labels from the service to the Prometheus metric

## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#servicemonitorspec

targetLabels: []

# -- Manipulate the metrics created by the workflow controller

## Ref: https://argo-workflows.readthedocs.io/en/latest/metrics/#modifiers

modifiers: {}

# -- the controller container's securityContext

securityContext:

readOnlyRootFilesystem: true

runAsNonRoot: true

allowPrivilegeEscalation: false

capabilities:

drop:

- ALL

# -- enable Workflow Archive to store the status of workflows. Postgres, MySQL (>= 5.7.8) and MariaDB (>= 10.2.7, requires Argo Workflows v4.1+) are available.

## Ref: https://argo-workflows.readthedocs.io/en/stable/workflow-archive/

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

# # Instead of passwordSecret, Postgres can authenticate with a token.

# # Requires Argo Workflows v4.1+; userNameSecret is still required.

# # Microsoft Entra ID (needs Azure Workload Identity on the controller's service account):

# azureToken:

# enabled: true

# scope: https://ossrdbms-aad.database.windows.net/.default

# # AWS RDS IAM authentication (needs IRSA or EKS Pod Identity on the controller's service account):

# awsRDSToken:

# enabled: true

# region: us-east-1

# ssl: true

# # sslMode must be one of: disable, require, verify-ca, verify-full

# # you can find more information about those ssl options here: https://godoc.org/github.com/lib/pq

# sslMode: require

# mysql:

# host: localhost

# port: 3306

# database: argo

# tableName: argo_workflows

# userNameSecret:

# name: argo-mysql-config

# key: username

# passwordSecret:

# name: argo-mysql-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://argo-workflows.readthedocs.io/en/stable/default-workflow-specs/

workflowDefaults: {}

# spec:

# ttlStrategy:

# secondsAfterCompletion: 86400

# # Ref: https://argo-workflows.readthedocs.io/en/stable/artifact-repository-ref/

# artifactRepositoryRef:

# configMap: my-artifact-repository # default is "artifact-repositories"

# key: v2-s3-artifact-repository # default can be set by the `workflows.argoproj.io/default-artifact-repository` annotation in config map.

# -- Number of workflow workers

workflowWorkers: # 32

# -- Number of workflow TTL workers

workflowTTLWorkers: # 4

# -- Number of pod cleanup workers

podCleanupWorkers: # 4

# -- Number of cron workflow workers

# Only valid for 3.5+

cronWorkflowWorkers: # 8

# -- 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

# -- Frequency at which prometheus scrapes telemetry data

interval: 30s

# -- Prometheus ServiceMonitor scrapeTimeout. If empty, Prometheus uses the global scrape timeout unless it is less than the target's scrape interval value in which the latter is used.

scrapeTimeout: ""

# -- telemetry container port

port: 8081

# -- How often custom metrics are cleared from memory

metricsTTL: ""

# -- Flag that instructs prometheus to ignore metric emission errors.

ignoreErrors: false

# -- Flag that use a self-signed cert for TLS

secure: false

# -- telemetry service port

servicePort: 8081

# -- telemetry service port name

servicePortName: telemetry

# -- telemetry serviceMonitor scheme to use

scheme: http

serviceMonitor:

# -- Enable a prometheus ServiceMonitor

enabled: false

# -- Prometheus ServiceMonitor labels

additionalLabels: {}

# -- Prometheus ServiceMonitor namespace

namespace: "" # "monitoring"

serviceAccount:

# -- Create a service account for the controller

create: true

# -- Service account name

name: ""

# -- Labels applied to created service account

labels: {}

# -- 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

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"

# -- Set the logging format (one of: `text`, `json`)

format: "text"

# -- 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: {}

# -- The class of the load balancer implementation

loadBalancerClass: ""

# -- 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"

# -- envFrom to pass to the controller container

envFrom: []

# -- Extra arguments to be added to the controller

extraArgs: []

# -- Additional volume mounts to the controller main container

volumeMounts: []

# -- Additional volumes to the controller pod

volumes: []

# -- The number of controller pods to run

replicas: 1

# -- The number of revisions to keep.

revisionHistoryLimit: 10

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: {}

# -- Assign custom [TopologySpreadConstraints] rules to the workflow controller

## 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: ""

# -- Configure Argo Server to show custom [links]

## Ref: https://argo-workflows.readthedocs.io/en/stable/links/

links: []

# -- Configure Argo Server to show custom [columns]

## Ref: https://github.com/argoproj/argo-workflows/pull/10693

columns: []

# -- Set ui navigation bar background color

navColor: ""

clusterWorkflowTemplates:

# -- Create a ClusterRole and CRB for the controller to access ClusterWorkflowTemplates.

enabled: true

# -- Extra service accounts to be added to the ClusterRoleBinding

serviceAccounts: []

# - name: my-service-account

# namespace: my-namespace

# -- Extra containers to be added to the controller deployment

extraContainers: []

# -- Enables init containers to be added to the controller deployment

extraInitContainers: []

# -- Workflow retention by number of workflows

retentionPolicy: {}

# completed: 10

# failed: 3

# errored: 3

nodeEvents:

# -- Enable to emit events on node completion.

## This can take up a lot of space in k8s (typically etcd) resulting in errors when trying to create new events:

## "Unable to create audit event: etcdserver: mvcc: database space exceeded"

enabled: true

workflowEvents:

# -- Enable to emit events on workflow status changes.

## This can take up a lot of space in k8s (typically etcd), resulting in errors when trying to create new events:

## "Unable to create audit event: etcdserver: mvcc: database space exceeded"

enabled: true

# -- Configure when workflow controller runs in a different k8s cluster with the workflow workloads,

# or needs to communicate with the k8s apiserver using an out-of-cluster kubeconfig secret.

# @default -- `{}` (See [values.yaml])

kubeConfig: {}

# # name of the kubeconfig secret, may not be empty when kubeConfig specified

# secretName: kubeconfig-secret

# # key of the kubeconfig secret, may not be empty when kubeConfig specified

# secretKey: kubeconfig

# # mounting path of the kubeconfig secret, default to /kube/config

# mountPath: /kubeconfig/mount/path

# # volume name when mounting the secret, default to kubeconfig

# volumeName: kube-config-volume

# -- Specifies the duration in seconds before a terminating pod is forcefully killed. A zero value indicates that the pod will be forcefully terminated immediately.

# @default -- `30` seconds (Kubernetes default)

podGCGracePeriodSeconds:

# -- The duration in seconds before the pods in the GC queue get deleted. A zero value indicates that the pods will be deleted immediately.

# @default -- `5s` (Argo Workflows default)

podGCDeleteDelayDuration: ""

# -- enable Synchronization to use a database. Postgres and MySQL (>= 5.7.8) are available.

## Ref: https://argo-workflows.readthedocs.io/en/latest/workflow-controller-configmap/#syncconfig

synchronization: {}

# controllerName: argo-workflows

# connectionPool:

# maxIdleConns: 100

# maxOpenConns: 0

# 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

# ssl: true

# # sslMode must be one of: disable, require, verify-ca, verify-full

# # you can find more information about those ssl options here: https://godoc.org/github.com/lib/pq

# sslMode: require

# mysql:

# host: localhost

# port: 3306

# database: argo

# tableName: argo_workflows

# userNameSecret:

# name: argo-mysql-config

# key: username

# passwordSecret:

# name: argo-mysql-config

# key: password

failedPodRestart:

# -- Enable to restart of pods that fail before entering Running state.

## This is useful for recovering from transient infrastructure issues like node eviction due to DiskPressure or MemoryPressure without requiring a retryStrategy on every template.

## ref: https://argo-workflows.readthedocs.io/en/latest/pod-restarts/

enabled: false

# -- Maximum number of automatic restarts per node before giving up.

maxRestarts: 3

# -- Disable the creation of agent pods, which are used for HTTP and Plugin templates. When enabled, HTTP and Plugin templates will not be processed by this controller.

# Only valid for 4.1+

disableAgentPodCreation: false

initlessPod:

# -- Enable the init-less pod layout (beta), which provides the executor to workflow pods through an image volume instead of an init container.

# Only valid for 4.1+. Requires the `ImageVolume` feature gate on the kube-apiserver and all kubelets (beta in Kubernetes v1.33-1.35, enabled by default from v1.36).

## Ref: https://argo-workflows.readthedocs.io/en/latest/initless-pod/

enabled: false

# mainContainer adds default config for main container that could be overriden in workflows template

mainContainer:

# -- imagePullPolicy to apply to Workflow main container. Defaults to `.Values.images.pullPolicy`.

imagePullPolicy: ""

# -- Resource limits and requests for the Workflow main container

resources: {}

# -- Adds environment variables for the Workflow main container

env: []

# -- Adds reference environment variables for the Workflow main container

envFrom: []

# -- sets security context for the Workflow main container

securityContext: {}

# executor controls how the init and wait container should be customized

executor:

image:

# -- Registry to use for the Workflow Executors

registry: cgr.dev

# -- Repository to use for the Workflow Executors

repository: chainguard-private/argo-exec

# -- Image tag for the workflow executor. Defaults to `.Values.images.tag`.

tag: 4.1.6-r0@sha256:703fe84540821a4dab6d83cf3d20896c8271abd3a93814f2587bb2b2cb6dbc6f

# -- Image PullPolicy to use for the Workflow Executors. Defaults to `.Values.images.pullPolicy`.

pullPolicy: ""

# -- Use the `-nonroot` executor image variant. When enabled, the `-nonroot` suffix is appended to the resolved image tag.

nonroot: false

# -- Resource limits and requests for the Workflow Executors

resources: {}

# -- Passes arguments to the executor processes

args: []

# -- 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: cgr.dev

# -- Repository to use for the server

repository: chainguard-private/argo-cli

# -- Image tag for the Argo Workflows server. Defaults to `.Values.images.tag`.

tag: 4.1.6-r0@sha256:8fb20963df9e35bed5f1158e943125f5adfd3615e7bd228cf4adce7939a6aa14

# -- optional map of annotations to be applied to the ui Deployment

deploymentAnnotations: {}

# -- 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: {}

# -- [DNS configuration](https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#pod-dns-config) for server pods

dnsConfig: {}

# -- Alternative DNS policy for server pods

dnsPolicy: ""

rbac:

# -- Adds Role and RoleBinding for the server.

create: true

# -- 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 target port for server

serviceTargetPort: 2746

# -- Service node port

serviceNodePort: # 32746

# -- Service port name

servicePortName: "" # http

# -- Mapping between IP and hostnames that will be injected as entries in the pod's hosts files

hostAliases: []

# - ip: 10.20.30.40

# hostnames:

# - git.myhostname

serviceAccount:

# -- Create a service account for the server

create: true

# -- Service account name

name: ""

# -- Labels applied to created service account

labels: {}

# -- 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: {}

# -- The class of the load balancer implementation

loadBalancerClass: ""

# -- 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

# -- The number of revisions to keep.

revisionHistoryLimit: 10

## Argo Server Horizontal Pod Autoscaler

autoscaling:

# -- Enable Horizontal Pod Autoscaler ([HPA]) for the Argo Server

enabled: false

# -- Minimum number of replicas for the Argo Server [HPA]

minReplicas: 1

# -- Maximum number of replicas for the Argo Server [HPA]

maxReplicas: 5

# -- Average CPU utilization percentage for the Argo Server [HPA]

targetCPUUtilizationPercentage: 50

# -- Average memory utilization percentage for the Argo Server [HPA]

targetMemoryUtilizationPercentage: 50

# -- Configures the scaling behavior of the target in both Up and Down directions.

# This is only available on HPA apiVersion `autoscaling/v2beta2` and newer

behavior: {}

# scaleDown:

# stabilizationWindowSeconds: 300

# policies:

# - type: Pods

# value: 1

# periodSeconds: 180

# scaleUp:

# stabilizationWindowSeconds: 300

# policies:

# - type: Pods

# value: 2

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"

# -- envFrom to pass to the argo-server container

envFrom: []

# -- 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: []

# -- 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

# Support depends on your Gateway controller implementation

# Some controllers may require additional configuration (e.g., BackendTLSPolicy for HTTPS backends)

# Refer to https://gateway-api.sigs.k8s.io/implementations/ for controller-specific details

httproute:

# -- Enable HTTPRoute resource for Argo Workflows server (Gateway API)

enabled: false

# -- Additional HTTPRoute labels

labels: {}

# -- Additional HTTPRoute annotations

annotations: {}

# -- Gateway API parentRefs for the HTTPRoute

## Must reference an existing Gateway

# @default -- `[]` (See [values.yaml])

parentRefs: []

# - name: example-gateway

# namespace: example-gateway-namespace

# sectionName: https

# -- List of hostnames for the HTTPRoute

# @default -- `[]` (See [values.yaml])

hostnames: []

# - argoworkflows.example.com

# -- HTTPRoute rules configuration

# @default -- `[]` (See [values.yaml])

rules:

- matches:

- path:

type: PathPrefix

value: /

# filters: []

# - type: RequestHeaderModifier

# requestHeaderModifier:

# add:

# - name: X-Custom-Header

# value: custom-value

# timeouts:

# request: 10s

# backendRequest: 2s

# Gateway API BackendTLSPolicy configuration

# NOTE: BackendTLSPolicy support is in EXPERIMENTAL status

# Required for HTTPS backends when using Gateway API

# Not all Gateway controllers support this resource (e.g., Cilium does not support it yet)

backendTLSPolicy:

# -- Enable BackendTLSPolicy resource for Argo Workflows server (Gateway API)

enabled: false

# -- Additional BackendTLSPolicy labels

labels: {}

# -- Additional BackendTLSPolicy annotations

annotations: {}

# -- Target references for the BackendTLSPolicy

# @default -- `[]` (See [values.yaml])

targetRefs: []

# - group: ""

# kind: Service

# name: argo-workflows-server

# sectionName: https

# -- TLS validation configuration

# @default -- `{}` (See [values.yaml])

validation: {}

# hostname: argo-workflows-server.argo.svc.cluster.local

# caCertificateRefs:

# - name: example-ca-cert

# group: ""

# kind: ConfigMap

# wellKnownCACertificates: System

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:

# -- Create SSO configuration. If you set `true` , please also set `.Values.server.authModes` as `sso`.

enabled: false

# -- The root URL of the OIDC identity provider

issuer: https://accounts.google.com

clientId:

# -- Name of secret to retrieve the app OIDC client ID

name: argo-server-sso

# -- Key of secret to retrieve the app OIDC client ID

key: client-id

clientSecret:

# -- Name of a secret to retrieve the app OIDC client secret

name: argo-server-sso

# -- Key of a secret to retrieve the app OIDC client secret

key: client-secret

# -- The OIDC redirect URL. Should be in the form <argo-root-url>/oauth2/callback.

redirectUrl: ""

rbac:

# -- Adds ServiceAccount Policy to server (Cluster)Role.

enabled: true

# -- Whitelist to allow server to fetch Secrets

## 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

# -- Define how long your login is valid for (in hours)

## If omitted, defaults to 10h.

sessionExpiry: ""

# -- Alternate root URLs that can be included for some OIDC providers

issuerAlias: ""

# -- Override claim name for OIDC groups

customGroupClaimName: ""

# -- Specify the user info endpoint that contains the groups claim

## Configure this if your OIDC provider provides groups information only using the user-info endpoint (e.g. Okta)

userInfoPath: ""

# -- Skip TLS verification for the HTTP client

insecureSkipVerify: false

# -- Custom PEM encoded CA certificate file contents used to validate the OIDC provider's certificate

rootCA: ""

# -- Filter the groups returned by the OIDC provider

## A logical "OR" is used between each regex in the list

filterGroupsRegex: []

# - ".*argo-wf.*"

# - ".*argo-workflow.*"

# -- 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: secrets-store.csi.x-k8s.io/v1

# kind: SecretProviderClass

# metadata:

# name: argo-server-sso

# spec:

# provider: aws

# parameters:

# objects: |

# - objectName: "argo/server/sso"

# objectType: "secretsmanager"

# jmesPath:

# - path: "client_id"

# objectAlias: "client_id"

# - path: "client_secret"

# objectAlias: "client_secret"

# secretObjects:

# - data:

# - key: client_id

# objectName: client_id

# - key: client_secret

# objectName: client_secret

# secretName: argo-server-sso-secrets-store

# type: Opaque

# -- 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

# # addressingStyle must be one of: "" (auto-detect), path, virtual-hosted

# # Only valid for 4.1+

# addressingStyle: ""

# 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]