values.yaml

# Default values for keda.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.

global:
  image:
    # -- Global image registry of KEDA components
    registry: null

image:
  keda:
    # -- Image registry of KEDA operator
    registry: null
    # -- Image name of KEDA operator
    repository: ghcr.io/kedacore/keda
    # -- Image tag of KEDA operator. Optional, given app version of Helm chart is used by default
    tag: ""
  metricsApiServer:
    # -- Image registry of KEDA Metrics API Server
    registry: null
    # -- Image name of KEDA Metrics API Server
    repository: ghcr.io/kedacore/keda-metrics-apiserver
    # -- Image tag of KEDA Metrics API Server. Optional, given app version of Helm chart is used by default
    tag: ""
  webhooks:
    # -- Image registry of KEDA admission-webhooks
    registry: null
    # -- Image name of KEDA admission-webhooks
    repository: ghcr.io/kedacore/keda-admission-webhooks
    # -- Image tag of KEDA admission-webhooks . Optional, given app version of Helm chart is used by default
    tag: ""
  # -- Image pullPolicy for all KEDA components
  pullPolicy: Always

# -- Kubernetes cluster name. Used in features such as emitting CloudEvents
clusterName: kubernetes-default

# -- Kubernetes cluster domain
clusterDomain: cluster.local

crds:
  # -- Defines whether the KEDA CRDs have to be installed or not.
  install: true

  # -- Custom annotations specifically for CRDs
  additionalAnnotations:
    {}
    # foo: bar

# -- Defines Kubernetes namespaces to watch to scale their workloads. Default watches all namespaces
watchNamespace: ""

# -- Name of secret to use to pull images to use to pull Docker images
imagePullSecrets: []

networkPolicy:
  # -- Enable network policies
  enabled: false
  # -- Flavor of the network policies (cilium)
  flavor: "cilium"
  # -- Allow use of extra egress rules for cilium network policies
  cilium:
    operator:
      extraEgressRules: []

operator:
  # -- Name of the KEDA operator
  name: keda-operator
  # -- ReplicaSets for this Deployment you want to retain (Default: 10)
  revisionHistoryLimit: 10
  # -- Capability to configure the number of replicas for KEDA operator.
  # While you can run more replicas of our operator, only one operator instance will be the leader and serving traffic.
  # You can run multiple replicas, but they will not improve the performance of KEDA, it could only reduce downtime during a failover.
  # Learn more in [our documentation](https://keda.sh/docs/latest/operate/cluster/#high-availability).
  replicaCount: 1
  # --Disable response compression for k8s restAPI in client-go.
  # Disabling compression simply means that turns off the process of making data smaller for K8s restAPI in client-go for faster transmission.
  disableCompression: true
  # -- [Affinity] for pod scheduling for KEDA operator. Takes precedence over the `affinity` field
  affinity: {}
    # podAntiAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #   - labelSelector:
    #       matchExpressions:
    #       - key: app
    #         operator: In
    #         values:
    #         - keda-operator
    #     topologyKey: "kubernetes.io/hostname"
  # -- Additional containers to run as part of the operator deployment
  extraContainers: []
    # - name: hello-many
    # args:
    #   - -c
    #   - "while true; do echo hi; sleep 300; done"
    # command:
    #   - /bin/sh
    # image: 'busybox:glibc'
  # -- Additional init containers to run as part of the operator deployment
  extraInitContainers: []
    # - name: hello-once
    # args:
    #   - -c
    #   - "echo 'Hello World!'"
    # command:
    #   - /bin/sh
    # image: 'busybox:glibc'
  # -- Liveness probes for operator ([docs](https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/))
  livenessProbe:
    initialDelaySeconds: 25
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 3
    successThreshold: 1
  # -- Readiness probes for operator ([docs](https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#define-readiness-probes))
  readinessProbe:
    initialDelaySeconds: 20
    periodSeconds: 3
    timeoutSeconds: 1
    failureThreshold: 3
    successThreshold: 1

metricsServer:
  # -- ReplicaSets for this Deployment you want to retain (Default: 10)
  revisionHistoryLimit: 10
  # -- Capability to configure the number of replicas for KEDA metric server.
  # While you can run more replicas of our metric server, only one instance will used and serve traffic.
  # You can run multiple replicas, but they will not improve the performance of KEDA, it could only reduce downtime during a failover.
  # Learn more in [our documentation](https://keda.sh/docs/latest/operate/cluster/#high-availability).
  replicaCount: 1
  # --Disable response compression for k8s restAPI in client-go.
  # Disabling compression simply means that turns off the process of making data smaller for K8s restAPI in client-go for faster transmission.
  disableCompression: true
  # use ClusterFirstWithHostNet if `useHostNetwork: true` https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#pod-s-dns-policy
  # -- Defined the DNS policy for the metric server
  dnsPolicy: ClusterFirst
  # -- Enable metric server to use host network
  useHostNetwork: false
  # -- [Affinity] for pod scheduling for Metrics API Server. Takes precedence over the `affinity` field
  affinity: {}
    # podAntiAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #   - labelSelector:
    #       matchExpressions:
    #       - key: app
    #         operator: In
    #         values:
    #         - keda-operator-metrics-apiserver
    #     topologyKey: "kubernetes.io/hostname"
  # -- Liveness probes for Metrics API Server ([docs](https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/))
  livenessProbe:
    initialDelaySeconds: 5
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 3
    successThreshold: 1
  # -- Readiness probes for Metrics API Server ([docs](https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#define-readiness-probes))
  readinessProbe:
    initialDelaySeconds: 5
    periodSeconds: 3
    timeoutSeconds: 1
    failureThreshold: 3
    successThreshold: 1

webhooks:
  # -- Enable admission webhooks (this feature option will be removed in v2.12)
  enabled: true
  # -- Port number to use for KEDA admission webhooks. Default is 9443.
  port: ""
  # -- Port number to use for KEDA admission webhooks health probe
  healthProbePort: 8081
  # -- Liveness probes for admission webhooks ([docs](https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/))
  livenessProbe:
    initialDelaySeconds: 25
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 3
    successThreshold: 1
  # -- Readiness probes for admission webhooks ([docs](https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#define-readiness-probes))
  readinessProbe:
    initialDelaySeconds: 20
    periodSeconds: 3
    timeoutSeconds: 1
    failureThreshold: 3
    successThreshold: 1
  # -- Enable webhook to use host network, this is required on EKS with custom CNI
  useHostNetwork: false
  # -- Name of the KEDA admission webhooks
  name: keda-admission-webhooks
  # -- ReplicaSets for this Deployment you want to retain (Default: 10)
  revisionHistoryLimit: 10
  # -- Capability to configure the number of replicas for KEDA admission webhooks
  replicaCount: 1
  # -- [Affinity] for pod scheduling for KEDA admission webhooks. Takes precedence over the `affinity` field
  affinity: {}
    # podAntiAffinity:
    #   requiredDuringSchedulingIgnoredDuringExecution:
    #   - labelSelector:
    #       matchExpressions:
    #       - key: app
    #         operator: In
    #         values:
    #         - keda-admission-webhooks
    #     topologyKey: "kubernetes.io/hostname"

  # -- [Failure policy](https://kubernetes.io/docs/reference/access-authn-authz/extensible-admission-controllers/#failure-policy) to use with KEDA admission webhooks
  failurePolicy: Ignore

upgradeStrategy:
  # -- Capability to configure [Deployment upgrade strategy] for operator
  operator: {}
    # type: RollingUpdate
    # rollingUpdate:
    #   maxUnavailable: 1
    #   maxSurge: 1

  # -- Capability to configure [Deployment upgrade strategy] for Metrics Api Server
  metricsApiServer: {}
    # type: RollingUpdate
    # rollingUpdate:
    #   maxUnavailable: 1
    #   maxSurge: 1

  # -- Capability to configure [Deployment upgrade strategy] for Admission webhooks
  webhooks: {}
    # type: RollingUpdate
    # rollingUpdate:
    #   maxUnavailable: 1
    #   maxSurge: 1

podDisruptionBudget:
  # -- Capability to configure [Pod Disruption Budget]
  operator: {}
    #  minAvailable: 1
    #  maxUnavailable: 1

  # -- Capability to configure [Pod Disruption Budget]
  metricServer: {}
    #  minAvailable: 1
    #  maxUnavailable: 1

  # -- Capability to configure [Pod Disruption Budget]
  webhooks: {}
    #  minAvailable: 1
    #  maxUnavailable: 1

# -- Custom labels to add into metadata
additionalLabels:
  {}
  # foo: bar

# -- Custom annotations to add into metadata
additionalAnnotations:
  {}
  # foo: bar

podAnnotations:
  # -- Pod annotations for KEDA operator
  keda: {}
  # -- Pod annotations for KEDA Metrics Adapter
  metricsAdapter: {}
  # -- Pod annotations for KEDA Admission webhooks
  webhooks: {}
podLabels:
  # -- Pod labels for KEDA operator
  keda: {}
  # -- Pod labels for KEDA Metrics Adapter
  metricsAdapter: {}
  # -- Pod labels for KEDA Admission webhooks
  webhooks: {}

rbac:
  # -- Specifies whether RBAC should be used
  create: true
  # -- Specifies whether RBAC for CRDs should be [aggregated](https://kubernetes.io/docs/reference/access-authn-authz/rbac/#aggregated-clusterroles) to default roles (view, edit, admin)
  aggregateToDefaultRoles: false

  # -- Whether RBAC for configured CRDs that can have a `scale` subresource should be created
  enabledCustomScaledRefKinds: true
  # -- List of custom resources that support the `scale` subresource and can be referenced by `scaledobject.spec.scaleTargetRef`.
  # The feature needs to be also enabled by `enabledCustomScaledRefKinds`.
  # If left empty, RBAC for `apiGroups: *` and `resources: *, */scale` will be created
  # note: Deployments and StatefulSets are supported out of the box
  scaledRefKinds:
  - apiGroup: "*"
    kind: "*"
  # - apiGroup: argoproj.io
  #   kind: Rollout

serviceAccount:
  operator:
    # -- Specifies whether a service account should be created
    create: true
    # -- The name of the service account to use.
    name: keda-operator
    # -- Specifies whether a service account should automount API-Credentials
    automountServiceAccountToken: true
    # -- Annotations to add to the service account
    annotations: {}
  metricServer:
    # -- Specifies whether a service account should be created
    create: true
    # -- The name of the service account to use.
    name: keda-metrics-server
    # -- Specifies whether a service account should automount API-Credentials
    automountServiceAccountToken: true
    # -- Annotations to add to the service account
    annotations: {}
  webhooks:
    # -- Specifies whether a service account should be created
    create: true
    # -- The name of the service account to use.
    name: keda-webhook
    # -- Specifies whether a service account should automount API-Credentials
    automountServiceAccountToken: true
    # -- Annotations to add to the service account
    annotations: {}

podIdentity:
  azureWorkload:
    # -- Set to true to enable Azure Workload Identity usage.
    # See https://keda.sh/docs/concepts/authentication/#azure-workload-identity
    # This will be set as a label on the KEDA service account.
    enabled: false
    # Set to the value of the Azure Active Directory Client and Tenant Ids
    # respectively. These will be set as annotations on the KEDA service account.
    # -- Id of Azure Active Directory Client to use for authentication with Azure Workload Identity. ([docs](https://keda.sh/docs/concepts/authentication/#azure-workload-identity))
    clientId: ""
    # -- Id Azure Active Directory Tenant to use for authentication with for Azure Workload Identity. ([docs](https://keda.sh/docs/concepts/authentication/#azure-workload-identity))
    tenantId: ""
    # Set to the value of the service account token expiration duration.
    # This will be set as an annotation on the KEDA service account.
    # -- Duration in seconds to automatically expire tokens for the service account. ([docs](https://keda.sh/docs/concepts/authentication/#azure-workload-identity))
    tokenExpiration: 3600
  aws:
    irsa:
      # -- Specifies whether [AWS IAM Roles for Service Accounts (IRSA)](https://docs.aws.amazon.com/eks/latest/userguide/iam-roles-for-service-accounts.html) is to be enabled or not.
      enabled: false
      # -- Sets the token audience for IRSA.
      # This will be set as an annotation on the KEDA service account.
      audience: "sts.amazonaws.com"
      # -- Set to the value of the ARN of an IAM role with a web identity provider.
      # This will be set as an annotation on the KEDA service account.
      roleArn: ""
      # -- Sets the use of an STS regional endpoint instead of global.
      # Recommended to use regional endpoint in almost all cases.
      # This will be set as an annotation on the KEDA service account.
      stsRegionalEndpoints: "true"
      # -- Set to the value of the service account token expiration duration.
      # This will be set as an annotation on the KEDA service account.
      tokenExpiration: 86400
  gcp:
    # -- Set to true to enable GCP Workload Identity.
    # See https://keda.sh/docs/2.10/authentication-providers/gcp-workload-identity/
    # This will be set as a annotation on the KEDA service account.
    enabled: false
    # -- GCP IAM Service Account Email which you would like to use for workload identity.
    gcpIAMServiceAccount: ""

# -- Set this if you are using an external scaler and want to communicate
# over TLS (recommended). This variable holds the name of the secret that
# will be mounted to the /grpccerts path on the Pod
grpcTLSCertsSecret: ""

# -- Set this if you are using HashiCorp Vault and want to communicate
# over TLS (recommended). This variable holds the name of the secret that
# will be mounted to the /vault path on the Pod
hashiCorpVaultTLS: ""

logging:
  operator:
    # -- Logging level for KEDA Operator.
    # allowed values: `debug`, `info`, `error`, or an integer value greater than 0, specified as string
    level: info
    # -- Logging format for KEDA Operator.
    # allowed values: `json` or `console`
    format: console
    # -- Logging time encoding for KEDA Operator.
    # allowed values are `epoch`, `millis`, `nano`, `iso8601`, `rfc3339` or `rfc3339nano`
    timeEncoding: rfc3339
    # -- If enabled, the stack traces will be also printed
    stackTracesEnabled: false
  metricServer:
    # -- Logging level for Metrics Server.
    # allowed values: `0` for info, `4` for debug, or an integer value greater than 0, specified as string
    level: 0
    # -- Logging stderrthreshold for Metrics Server
    # allowed values: 'DEBUG','INFO','WARN','ERROR','ALERT','EMERG'
    stderrthreshold: ERROR
  webhooks:
    # -- Logging level for KEDA Operator.
    # allowed values: `debug`, `info`, `error`, or an integer value greater than 0, specified as string
    level: info
    # -- Logging format for KEDA Admission webhooks.
    # allowed values: `json` or `console`
    format: console
    # -- Logging time encoding for KEDA Operator.
    # allowed values are `epoch`, `millis`, `nano`, `iso8601`, `rfc3339` or `rfc3339nano`
    timeEncoding: rfc3339

# -- [Security context] for all containers
# @default -- [See below](#KEDA-is-secure-by-default)
securityContext:
  # -- [Security context] of the operator container
  # @default -- [See below](#KEDA-is-secure-by-default)
  operator:
    capabilities:
      drop:
      - ALL
    allowPrivilegeEscalation: false
    readOnlyRootFilesystem: true
    seccompProfile:
      type: RuntimeDefault
  # -- [Security context] of the metricServer container
  # @default -- [See below](#KEDA-is-secure-by-default)
  metricServer:
    capabilities:
      drop:
      - ALL
    allowPrivilegeEscalation: false
    readOnlyRootFilesystem: true
    seccompProfile:
      type: RuntimeDefault
  # -- [Security context] of the admission webhooks container
  # @default -- [See below](#KEDA-is-secure-by-default)
  webhooks:
    capabilities:
      drop:
      - ALL
    allowPrivilegeEscalation: false
    readOnlyRootFilesystem: true
    seccompProfile:
      type: RuntimeDefault

# --  [Pod security context] for all pods
# @default -- [See below](#KEDA-is-secure-by-default)
podSecurityContext:
  # -- [Pod security context] of the KEDA operator pod
  # @default -- [See below](#KEDA-is-secure-by-default)
  operator:
    runAsNonRoot: true
    # runAsUser: 1000
    # runAsGroup: 1000
    # fsGroup: 1000

  # -- [Pod security context] of the KEDA metrics apiserver pod
  # @default -- [See below](#KEDA-is-secure-by-default)
  metricServer:
    runAsNonRoot: true
    # runAsUser: 1000
    # runAsGroup: 1000
    # fsGroup: 1000

  # -- [Pod security context] of the KEDA admission webhooks
  # @default -- [See below](#KEDA-is-secure-by-default)
  webhooks:
    runAsNonRoot: true
    # runAsUser: 1000
    # runAsGroup: 1000
    # fsGroup: 1000

service:
  # -- KEDA Metric Server service type
  type: ClusterIP
  # -- HTTPS port for KEDA Metric Server service
  portHttps: 443
  # -- HTTPS port for KEDA Metric Server container
  portHttpsTarget: 6443
  # -- Annotations to add the KEDA Metric Server service
  annotations: {}

# We provides the default values that we describe in our docs:
# https://keda.sh/docs/latest/operate/cluster/
# If you want to specify the resources (or totally remove the defaults), change or comment the following
# lines, adjust them as necessary, or simply add the curly braces after 'operator' and/or 'metricServer'
# and remove/comment the default values
resources:
  # -- Manage [resource request & limits] of KEDA operator pod
  operator:
    limits:
      cpu: 1
      memory: 1000Mi
    requests:
      cpu: 100m
      memory: 100Mi
  # -- Manage [resource request & limits] of KEDA metrics apiserver pod
  metricServer:
    limits:
      cpu: 1
      memory: 1000Mi
    requests:
      cpu: 100m
      memory: 100Mi
  # -- Manage [resource request & limits] of KEDA admission webhooks pod
  webhooks:
    limits:
      cpu: 1
      memory: 1000Mi
    requests:
      cpu: 100m
      memory: 100Mi
# -- Node selector for pod scheduling ([docs](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/))
nodeSelector: {}
# -- Tolerations for pod scheduling ([docs](https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/))
tolerations: []

topologySpreadConstraints:
  # -- [Pod Topology Constraints] of KEDA operator pod
  operator: []
  # -- [Pod Topology Constraints] of KEDA metrics apiserver pod
  metricsServer: []
  # -- [Pod Topology Constraints] of KEDA admission webhooks pod
  webhooks: []

# -- [Affinity] for pod scheduling for KEDA operator, Metrics API Server and KEDA admission webhooks.
affinity: {}
  # podAntiAffinity:
  #   requiredDuringSchedulingIgnoredDuringExecution:
  #   - labelSelector:
  #       matchExpressions:
  #       - key: app
  #         operator: In
  #         values:
  #         - keda-operator
  #         - keda-operator-metrics-apiserver
  #         - keda-admission-webhooks
  #     topologyKey: "kubernetes.io/hostname"

# -- priorityClassName for all KEDA components
priorityClassName: ""

## The default HTTP timeout in milliseconds that KEDA should use
## when making requests to external services. Removing this defaults to a
## reasonable default
http:
  # -- The default HTTP timeout to use for all scalers that use raw HTTP clients (some scalers use SDKs to access target services. These have built-in HTTP clients, and the timeout does not necessarily apply to them)
  timeout: 3000
  keepAlive:
    # -- Enable HTTP connection keep alive
    enabled: true
  # -- The minimum TLS version to use for all scalers that use raw HTTP clients (some scalers use SDKs to access target services. These have built-in HTTP clients, and this value does not necessarily apply to them)
  minTlsVersion: TLS12

## This setting lets you enable profiling for all of the components of KEDA and in the specific port you choose
## This can be useful when trying to investigate errors like memory leaks or CPU or even look at goroutines to understand better
## This setting is disabled by default
profiling:
  operator:
    # -- Enable profiling for KEDA operator
    enabled: false
    # -- Expose profiling on a specific port
    port: 8082
  metricsServer:
    # -- Enable profiling for KEDA metrics server
    enabled: false
    # -- Expose profiling on a specific port
    port: 8083
  webhooks:
    # -- Enable profiling for KEDA admission webhook
    enabled: false
    # -- Expose profiling on a specific port
    port: 8084


## Extra KEDA Operator and Metrics Adapter container arguments
extraArgs:
  # -- Additional KEDA Operator container arguments
  keda: {}
  # -- Additional Metrics Adapter container arguments
  metricsAdapter: {}

# -- Additional environment variables that will be passed onto all KEDA components
env: []
# - name: ENV_NAME
#   value: 'ENV-VALUE'

# Extra volumes and volume mounts for the deployment. Optional.
volumes:
  keda:
    # -- Extra volumes for KEDA deployment
    extraVolumes: []
    # -- Extra volume mounts for KEDA deployment
    extraVolumeMounts: []

  metricsApiServer:
    # -- Extra volumes for metric server deployment
    extraVolumes: []
    # -- Extra volume mounts for metric server deployment
    extraVolumeMounts: []

  webhooks:
    # -- Extra volumes for admission webhooks deployment
    extraVolumes: []
    # -- Extra volume mounts for admission webhooks deployment
    extraVolumeMounts: []

prometheus:
  metricServer:
    # -- Enable metric server Prometheus metrics expose
    enabled: false
    # -- HTTP port used for exposing metrics server prometheus metrics
    port: 8080
    # -- HTTP port name for exposing metrics server prometheus metrics
    portName: metrics
    serviceMonitor:
      # -- Enables ServiceMonitor creation for the Prometheus Operator
      enabled: false
      # -- JobLabel selects the label from the associated Kubernetes service which will be used as the job label for all metrics. [ServiceMonitor Spec]
      jobLabel: ""
      # -- TargetLabels transfers labels from the Kubernetes `Service` onto the created metrics
      targetLabels: []
      # -- PodTargetLabels transfers labels on the Kubernetes `Pod` onto the created metrics
      podTargetLabels: []
      # -- Name of the service port this endpoint refers to. Mutually exclusive with targetPort
      port: metrics
      # -- Name or number of the target port of the Pod behind the Service, the port must be specified with container port property. Mutually exclusive with port
      targetPort: ""
      # -- Interval at which metrics should be scraped If not specified Prometheus’ global scrape interval is used.
      interval: ""
      # -- Timeout after which the scrape is ended If not specified, the Prometheus global scrape timeout is used unless it is less than Interval in which the latter is used
      scrapeTimeout: ""
      # -- DEPRECATED. List of expressions that define custom relabeling rules for metric server ServiceMonitor crd (prometheus operator). [RelabelConfig Spec]
      relabellings: []
      # -- List of expressions that define custom relabeling rules for metric server ServiceMonitor crd (prometheus operator). [RelabelConfig Spec]
      relabelings: []
      # -- List of expressions that define custom  metric relabeling rules for metric server ServiceMonitor crd after scrape has happened (prometheus operator). [RelabelConfig Spec]
      metricRelabelings: []
      # --  Additional labels to add for metric server using ServiceMonitor crd (prometheus operator)
      additionalLabels: {}
      # -- HTTP scheme used for scraping. Defaults to `http`
      scheme: http
      # -- TLS configuration for scraping metrics
      tlsConfig: {}
        # caFile: /etc/prom-certs/root-cert.pem
        # certFile: /etc/prom-certs/cert-chain.pem
        # insecureSkipVerify: true
        # keyFile: /etc/prom-certs/key.pem
    podMonitor:
      # -- Enables PodMonitor creation for the Prometheus Operator
      enabled: false
      # -- Scraping interval for metric server using podMonitor crd (prometheus operator)
      interval: ""
      # -- Scraping timeout for metric server using podMonitor crd (prometheus operator)
      scrapeTimeout: ""
      # -- Scraping namespace for metric server using podMonitor crd (prometheus operator)
      namespace: ""
      # -- Additional labels to add for metric server using podMonitor crd (prometheus operator)
      additionalLabels: {}
      # -- List of expressions that define custom relabeling rules for metric server podMonitor crd (prometheus operator)
      relabelings: []
      # -- List of expressions that define custom  metric relabeling rules for metric server PodMonitor crd after scrape has happened (prometheus operator). [RelabelConfig Spec]
      metricRelabelings: []
  operator:
    # -- Enable KEDA Operator prometheus metrics expose
    enabled: false
    # -- Port used for exposing KEDA Operator prometheus metrics
    port: 8080
    serviceMonitor:
      # -- Enables ServiceMonitor creation for the Prometheus Operator
      enabled: false
      # -- JobLabel selects the label from the associated Kubernetes service which will be used as the job label for all metrics. [ServiceMonitor Spec]
      jobLabel: ""
      # -- TargetLabels transfers labels from the Kubernetes `Service` onto the created metrics
      targetLabels: []
      # -- PodTargetLabels transfers labels on the Kubernetes `Pod` onto the created metrics
      podTargetLabels: []
      # -- Name of the service port this endpoint refers to. Mutually exclusive with targetPort
      port: metrics
      # -- Name or number of the target port of the Pod behind the Service,
      # the port must be specified with container port property. Mutually exclusive with port
      targetPort: ""
      # -- Interval at which metrics should be scraped If not specified Prometheus’ global scrape interval is used.
      interval: ""
      # -- Timeout after which the scrape is ended If not specified, the Prometheus global scrape timeout is used unless it is less than Interval in which the latter is used
      scrapeTimeout: ""
      # -- DEPRECATED. List of expressions that define custom relabeling rules for metric server ServiceMonitor crd (prometheus operator). [RelabelConfig Spec]
      relabellings: []
      # -- List of expressions that define custom relabeling rules for metric server ServiceMonitor crd (prometheus operator). [RelabelConfig Spec]
      relabelings: []
      # -- List of expressions that define custom  metric relabeling rules for metric server ServiceMonitor crd after scrape has happened (prometheus operator). [RelabelConfig Spec]
      metricRelabelings: []
      # -- Additional labels to add for metric server using ServiceMonitor crd (prometheus operator)
      additionalLabels: {}
      # -- HTTP scheme used for scraping. Defaults to `http`
      scheme: http
      # -- TLS configuration for scraping metrics
      tlsConfig: {}
        # caFile: /etc/prom-certs/root-cert.pem
        # certFile: /etc/prom-certs/cert-chain.pem
        # insecureSkipVerify: true
        # keyFile: /etc/prom-certs/key.pem
    podMonitor:
      # -- Enables PodMonitor creation for the Prometheus Operator
      enabled: false
      # -- Scraping interval for KEDA Operator using podMonitor crd (prometheus operator)
      interval: ""
      # -- Scraping timeout for KEDA Operator using podMonitor crd (prometheus operator)
      scrapeTimeout: ""
      # -- Scraping namespace for KEDA Operator using podMonitor crd (prometheus operator)
      namespace: ""
      # -- Additional labels to add for KEDA Operator using podMonitor crd (prometheus operator)
      additionalLabels: {}
      # --  List of expressions that define custom relabeling rules for KEDA Operator podMonitor crd (prometheus operator)
      relabelings: []
      # -- List of expressions that define custom  metric relabeling rules for metric server PodMonitor crd after scrape has happened (prometheus operator). [RelabelConfig Spec]
      metricRelabelings: []
    prometheusRules:
      # -- Enables PrometheusRules creation for the Prometheus Operator
      enabled: false
      # -- Scraping namespace for KEDA Operator using prometheusRules crd (prometheus operator)
      namespace: ""
      # -- Additional labels to add for KEDA Operator using prometheusRules crd (prometheus operator)
      additionalLabels: {}
      # -- Additional alerts to add for KEDA Operator using prometheusRules crd (prometheus operator)
      alerts:
        []
        # - alert: KedaScalerErrors
        #   annotations:
        #     description: Keda scaledObject {{ $labels.scaledObject }} is experiencing errors with {{ $labels.scaler }} scaler
        #     summary: Keda Scaler {{ $labels.scaler }} Errors
        #   expr: sum by ( scaledObject , scaler) (rate(keda_metrics_adapter_scaler_errors[2m]))  > 0
        #   for: 2m
        #   labels:
  webhooks:
    # -- Enable KEDA admission webhooks prometheus metrics expose
    enabled: false
    # -- Port used for exposing KEDA admission webhooks prometheus metrics
    port: 8080
    serviceMonitor:
      # -- Enables ServiceMonitor creation for the Prometheus webhooks
      enabled: false
      # -- jobLabel selects the label from the associated Kubernetes service which will be used as the job label for all metrics. [ServiceMonitor Spec]
      jobLabel: ""
      # -- TargetLabels transfers labels from the Kubernetes `Service` onto the created metrics
      targetLabels: []
      # -- PodTargetLabels transfers labels on the Kubernetes `Pod` onto the created metrics
      podTargetLabels: []
      # -- Name of the service port this endpoint refers to. Mutually exclusive with targetPort
      port: metrics
      # -- Name or number of the target port of the Pod behind the Service, the port must be specified with container port property. Mutually exclusive with port
      targetPort: ""
      # -- Interval at which metrics should be scraped If not specified Prometheus’ global scrape interval is used.
      interval: ""
      # -- Timeout after which the scrape is ended If not specified, the Prometheus global scrape timeout is used unless it is less than Interval in which the latter is used
      scrapeTimeout: ""
      # -- DEPRECATED. List of expressions that define custom relabeling rules for metric server ServiceMonitor crd (prometheus operator). [RelabelConfig Spec]
      relabellings: []
      # -- List of expressions that define custom relabeling rules for metric server ServiceMonitor crd (prometheus operator). [RelabelConfig Spec]
      relabelings: []
      # -- List of expressions that define custom  metric relabeling rules for metric server ServiceMonitor crd after scrape has happened (prometheus operator). [RelabelConfig Spec]
      metricRelabelings: []
      # -- Additional labels to add for metric server using ServiceMonitor crd (prometheus operator)
      additionalLabels: {}
      # -- HTTP scheme used for scraping. Defaults to `http`
      scheme: http
      # -- TLS configuration for scraping metrics
      tlsConfig: {}
        # caFile: /etc/prom-certs/root-cert.pem
        # certFile: /etc/prom-certs/cert-chain.pem
        # insecureSkipVerify: true
        # keyFile: /etc/prom-certs/key.pem
    prometheusRules:
      # -- Enables PrometheusRules creation for the Prometheus Operator
      enabled: false
      # -- Scraping namespace for KEDA admission webhooks using prometheusRules crd (prometheus operator)
      namespace: ""
      # -- Additional labels to add for KEDA admission webhooks using prometheusRules crd (prometheus operator)
      additionalLabels: {}
      # -- Additional alerts to add for KEDA admission webhooks using prometheusRules crd (prometheus operator)
      alerts: []

opentelemetry:
  collector:
    # -- Uri of OpenTelemetry Collector to push telemetry to
    uri: ""
  operator:
      # -- Enable pushing metrics to an OpenTelemetry Collector for operator
      enabled: false

certificates:
  # -- Enables the self generation for KEDA TLS certificates inside KEDA operator
  autoGenerated: true
  # -- Secret name to be mounted with KEDA TLS certificates
  secretName: kedaorg-certs
  # -- Path where KEDA TLS certificates are mounted
  mountPath: /certs
  certManager:
    # -- Enables Cert-manager for certificate management
    enabled: false
    # -- Certificate duration
    duration: 8760h0m0s # 1 year
    # -- Certificate renewal time before expiration
    renewBefore: 5840h0m0s # 8 months
    # -- Generates a self-signed CA with Cert-manager.
    # If generateCA is false, the secret with the CA
    # has to be annotated with `cert-manager.io/allow-direct-injection: "true"`
    generateCA: true
    # -- Secret name where the CA is stored (generatedby cert-manager or user given)
    caSecretName: "kedaorg-ca"
    # -- Add labels/annotations to secrets created by Certificate resources
    # [docs](https://cert-manager.io/docs/usage/certificate/#creating-certificate-resources)
    secretTemplate: {}
      # annotations:
      #   my-secret-annotation-1: "foo"
      #   my-secret-annotation-2: "bar"
      # labels:
      #   my-secret-label: foo
    # -- Reference to custom Issuer. If issuer.generate is false, then issuer.group, issuer.kind and issuer.name are required
    issuer:
      # -- Generates an Issuer resource with Cert-manager
      generate: true
      # -- Custom Issuer name. Required when generate: false
      name: foo-org-ca
      # -- Custom Issuer kind. Required when generate: false
      kind: ClusterIssuer
      # -- Custom Issuer group. Required when generate: false
      group: cert-manager.io
  operator:
    # -- Location(s) of CA files for authentication of external TLS connections such as TLS-enabled metrics sources
    # caDirs:
    # - /custom/ca

permissions:
  metricServer:
    restrict:
      # -- Restrict Secret Access for Metrics Server
      secret: false
  operator:
    restrict:
      # -- Restrict Secret Access for KEDA operator
      # if true, KEDA operator will be able to read only secrets in {{ .Release.Namespace }} namespace
      secret: false
      # -- Array of strings denoting what secrets the KEDA operator will be able to read, this takes into account
      # also the configured `watchNamespace`.
      # the default is an empty array -> no restriction on the secret name
      namesAllowList: []

# -- Array of extra K8s manifests to deploy
extraObjects: []
  # - apiVersion: keda.sh/v1alpha1
  #   kind: ClusterTriggerAuthentication
  #   metadata:
  #     name: aws-credentials
  #     namespace: keda
  #   spec:
  #     podIdentity:
  #       provider: aws-eks

# -- Capability to turn on/off ASCII art in Helm installation notes
asciiArt: true

# -- When specified, each rendered resource will have `app.kubernetes.io/managed-by: ${this}` label on it. Useful, when using only helm template with some other solution.
customManagedBy: ""