values.yaml

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

image:
  keda:
    repository: ghcr.io/kedacore/keda
    # Allows people to override tag if they don't want to use the app version
    tag:
  metricsApiServer:
    repository: ghcr.io/kedacore/keda-metrics-apiserver
    # Allows people to override tag if they don't want to use the app version
    tag:
  pullPolicy: Always

crds:
  install: true

watchNamespace: ""

imagePullSecrets: []
operator:
  name: keda-operator

metricsServer:
  # use ClusterFirstWithHostNet if `useHostNetwork: true` https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#pod-s-dns-policy
  dnsPolicy: ClusterFirst
  useHostNetwork: false

additionalLabels: ""
podAnnotations:
  keda: {}
  metricsAdapter: {}
podLabels:
  keda: {}
  metricsAdapter: {}

## See `kubectl explain poddisruptionbudget.spec` for more
## ref: https://kubernetes.io/docs/tasks/run-application/configure-pdb/
podDisruptionBudget: {}
#  minAvailable: 1
#  maxUnavailable: 1

rbac:
  create: true

serviceAccount:
  # Specifies whether a service account should be created
  create: true
  # The name of the service account to use.
  # If not set and create is true, a name is generated using the fullname template
  name: keda-operator
  # Annotations to add to the service account
  annotations: {}

# Set to the value of the Azure Active Directory Pod Identity
# This will be set as a label on the KEDA Pod(s)
podIdentity:
  activeDirectory:
    identity: ""

# 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
    # default value: info
    level: info
    # allowed valuesL 'json' or 'console'
    # default value: console
    format: console
  metricServer:
    ## Logging level for Metrics Server
    # allowed values: '0' for info, '4' for debug, or an integer value greater than 0, specified as string
    # default value: 0
    level: 0

podSecurityContext: {}
  # fsGroup: 2000

securityContext: {}
  # capabilities:
  #   drop:
  #   - ALL
  # readOnlyRootFilesystem: true
  # runAsNonRoot: true
  # runAsUser: 1000

service:
  type: ClusterIP
  portHttp: 80
  portHttpTarget: 8080
  portHttps: 443
  portHttpsTarget: 6443

  annotations: {}

resources: {}
  # We usually recommend not to specify default resources and to leave this as a conscious
  # choice for the user. This also increases chances charts run on environments with little
  # resources, such as Minikube. If you do want to specify resources, uncomment the following
  # lines, adjust them as necessary, and remove the curly braces after 'resources:'.
  # limits:
  #   cpu: 100m
  #   memory: 128Mi
  # requests:
  #   cpu: 100m
  #   memory: 128Mi

nodeSelector: {}

tolerations: []

affinity: {}
  # podAntiAffinity:
  #   requiredDuringSchedulingIgnoredDuringExecution:
  #   - labelSelector:
  #       matchExpressions:
  #       - key: app
  #         operator: In
  #         values:
  #         - keda-operator
  #         - keda-operator-metrics-apiserver
  #     topologyKey: "kubernetes.io/hostname"

## Optional priorityClassName for KEDA Operator and Metrics Adapter
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:
  timeout: 3000

## Extra environment variables that will be passed onto KEDA operator and metrics api service
env:
# - name: ENV_NAME
#   value: 'ENV-VALUE'

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

  metricsApiServer:
    extraVolumes: []
    extraVolumeMounts: []

prometheus:
  metricServer:
    enabled: false
    port: 9022
    portName: metrics
    path: /metrics
    podMonitor:
      # Enables PodMonitor creation for the Prometheus Operator
      enabled: false
      interval:
      scrapeTimeout:
      namespace:
      additionalLabels: {}
  operator:
    enabled: false
    port: 8080
    path: /metrics
    podMonitor:
      # Enables PodMonitor creation for the Prometheus Operator
      enabled: false
      interval:
      scrapeTimeout:
      namespace:
      additionalLabels: {}
    prometheusRules:
      # Enables PrometheusRules creation for the Prometheus Operator
      enabled: false
      namespace:
      additionalLabels: {}
      alerts: []
        # - alert: KedaScalerErrors
        #   annotations:
        #     description: Keda scaledObject {{ $labels.scaledObject }} is experiencing erros 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: