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

# Override Kubernetes version
kubeVersion: ""

imagePullSecrets: []
nameOverride: ""
fullnameOverride: ""

# Annotations to add to all deployed objects
commonAnnotations: {}

# Labels to add to all deployed objects
commonLabels: {}

admissionController:
  # Enable the component
  enabled: true

  replicaCount: 1

  image:
    repository: k8s.gcr.io/autoscaling/vpa-admission-controller
    tag: 0.11.0
    pullPolicy: IfNotPresent

  pdb:
    # Specifies whether a pod disruption budget should be created
    create: false

    # Minimum number/percentage of pods that should remain scheduled
    minAvailable: 1

    # Maximum number/percentage of pods that may be made unavailable
    # maxUnavailable: 1

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

  # Additional pod annotations
  podAnnotations: {}

  # Additional pod labels
  podLabels: {}

  podSecurityContext:
    # fsGroup: 2000
    runAsNonRoot: true
    runAsUser: 65534

  # Priority class name
  # priorityClassName : high-priority

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

  livenessProbe:
    # Enable liveness probe
    enabled: true

    # Delay before the liveness probe is initiated
    initialDelaySeconds: 0

    # How often to perform the liveness probe
    periodSeconds: 10

    # When the liveness probe times out
    timeoutSeconds: 1

    # Minimum consecutive failures for the liveness probe to be considered failed after having succeeded
    failureThreshold: 3

    # Minimum consecutive successes for the liveness probe to be considered successful after having failed
    successThreshold: 1

  readinessProbe:
    # Enable readiness probe
    enabled: true

    # Delay before the readiness probe is initiated
    initialDelaySeconds: 0

    # How often to perform the readiness probe
    periodSeconds: 10

    # When the readiness probe times out
    timeoutSeconds: 1

    # Minimum consecutive failures for the readiness probe to be considered failed after having succeeded
    failureThreshold: 3

    # Minimum consecutive successes for the readiness probe to be considered successful after having failed
    successThreshold: 1

  service:
    # Service annotations
    annotations: {}

    # Service type
    type: ClusterIP

    # Static cluster IP address or None for headless service when service type is ClusterIP
    # clusterIP: 10.43.0.100

    # Service port
    # port: 8000

  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: 200m
    #   memory: 512Mi
    # requests:
    #   cpu: 50m
    #   memory: 256Mi

  nodeSelector: {}

  tolerations: []

  affinity: {}

  extraArgs:
    # kube-api-burst: 10
    # kube-api-qps: 5
    v: 2
    # vpa-object-namespace: ""
    # webhook-timeout-seconds: 30

  # Additional container environment variables
  extraEnvVars: []
  #  - name: MY-NAME
  #    value: "MY-VALUE"

  # Name of existing ConfigMap containing additional container environment variables
  extraEnvVarsCM:

  # Name of existing Secret containing additional container environment variables
  extraEnvVarsSecret:

  metrics:
    service:
      # Metrics service annotations
      annotations: {}

      # Metrics service type
      type: ClusterIP

      # Metrics static cluster IP address or None for headless service when service type is ClusterIP
      # clusterIP: 10.43.0.100

      # Metrics service port
      port: 8944

    serviceMonitor:
      # Specifies whether a service monitor should be created
      enabled: false
      # Extra annotations for the ServiceMonitor
      annotations: {}
      # Extra labels for the ServiceMonitor
      labels: {}
      # The name of the label on the target service to use as the job name in Prometheus
      jobLabel: ""
      # How frequently to scrape metrics
      interval: ""
      # Timeout after which the scrape is ended
      scrapeTimeout: ""
      # Specify additional relabeling of metrics
      metricRelabelings: []
      # Specify general relabeling
      relabelings: []

  tls:
    caCert: ""
    cert: ""
    key: ""
    existingSecret: ""

recommender:
  replicaCount: 1

  image:
    repository: k8s.gcr.io/autoscaling/vpa-recommender
    tag: 0.11.0
    pullPolicy: IfNotPresent

  pdb:
    # Specifies whether a pod disruption budget should be created
    create: false

    # Minimum number/percentage of pods that should remain scheduled
    minAvailable: 1

    # Maximum number/percentage of pods that may be made unavailable
    # maxUnavailable: 1

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

  # Additional pod annotations
  podAnnotations: {}

  # Additional pod labels
  podLabels: {}

  podSecurityContext:
    # fsGroup: 2000
    runAsNonRoot: true
    runAsUser: 65534

  # Priority class name
  # priorityClassName : high-priority

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

  livenessProbe:
    # Enable liveness probe
    enabled: true

    # Delay before the liveness probe is initiated
    initialDelaySeconds: 0

    # How often to perform the liveness probe
    periodSeconds: 10

    # When the liveness probe times out
    timeoutSeconds: 1

    # Minimum consecutive failures for the liveness probe to be considered failed after having succeeded
    failureThreshold: 3

    # Minimum consecutive successes for the liveness probe to be considered successful after having failed
    successThreshold: 1

  readinessProbe:
    # Enable readiness probe
    enabled: true

    # Delay before the readiness probe is initiated
    initialDelaySeconds: 0

    # How often to perform the readiness probe
    periodSeconds: 10

    # When the readiness probe times out
    timeoutSeconds: 1

    # Minimum consecutive failures for the readiness probe to be considered failed after having succeeded
    failureThreshold: 3

    # Minimum consecutive successes for the readiness probe to be considered successful after having failed
    successThreshold: 1

  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: 200m
    #   memory: 1024Mi
    # requests:
    #   cpu: 50m
    #   memory: 512Mi

  nodeSelector: {}

  tolerations: []

  affinity: {}

  extraArgs:
    # checkpoints-gc-interval: 10m0s
    # checkpoints-timeout: 1m0s
    # container-name-label: name
    # container-namespace-label: namespace
    # container-pod-name-label: pod_name
    # cpu-histogram-decay-half-life: 24h0m0s
    # history-length: 8d
    # history-resolution: 1h
    # kube-api-burst: 10
    # kube-api-qps: 5
    # memory-aggregation-interval: 24h0m0s
    # memory-aggregation-interval-count: 8
    # memory-histogram-decay-half-life: 24h0m0s
    # memory-saver: false
    # metric-for-pod-labels: up{job="kubernetes-pods"}
    # min-checkpoints: 10
    # pod-label-prefix: pod_label_
    # pod-name-label: kubernetes_pod_name
    # pod-namespace-label: kubernetes_namespace
    # pod-recommendation-min-cpu-millicores: 25
    # pod-recommendation-min-memory-mb: 250
    # prometheus-address: ""
    # prometheus-cadvisor-job-name: kubernetes-cadvisor
    # prometheus-query-timeout: 5m
    # recommendation-margin-fraction: 0.15
    # recommender-interval: 1m0s
    # storage: checkpoint
    v: 2
    # vpa-object-namespace: ""

  # Additional container environment variables
  extraEnvVars: []
  #  - name: MY-NAME
  #    value: "MY-VALUE"

  # Name of existing ConfigMap containing additional container environment variables
  extraEnvVarsCM:

  # Name of existing Secret containing additional container environment variables
  extraEnvVarsSecret:

  metrics:
    service:
      # Metrics service annotations
      annotations: {}

      # Metrics service type
      type: ClusterIP

      # Metrics static cluster IP address or None for headless service when service type is ClusterIP
      # clusterIP: 10.43.0.100

      # Metrics service port
      port: 8942

    serviceMonitor:
      # Specifies whether a service monitor should be created
      enabled: false
      # Extra annotations for the ServiceMonitor
      annotations: {}
      # Extra labels for the ServiceMonitor
      labels: {}
      # The name of the label on the target service to use as the job name in Prometheus
      jobLabel: ""
      # How frequently to scrape metrics
      interval: ""
      # Timeout after which the scrape is ended
      scrapeTimeout: ""
      # Specify additional relabeling of metrics
      metricRelabelings: []
      # Specify general relabeling
      relabelings: []

updater:
  # Enable the component
  enabled: true

  replicaCount: 1

  image:
    repository: k8s.gcr.io/autoscaling/vpa-updater
    tag: 0.11.0
    pullPolicy: IfNotPresent

  pdb:
    # Specifies whether a pod disruption budget should be created
    create: false

    # Minimum number/percentage of pods that should remain scheduled
    minAvailable: 1

    # Maximum number/percentage of pods that may be made unavailable
    # maxUnavailable: 1

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

  # Additional pod annotations
  podAnnotations: {}

  # Additional pod labels
  podLabels: {}

  podSecurityContext:
    # fsGroup: 2000
    runAsNonRoot: true
    runAsUser: 65534

  # Priority class name
  # priorityClassName : high-priority

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

  livenessProbe:
    # Enable liveness probe
    enabled: true

    # Delay before the liveness probe is initiated
    initialDelaySeconds: 0

    # How often to perform the liveness probe
    periodSeconds: 10

    # When the liveness probe times out
    timeoutSeconds: 1

    # Minimum consecutive failures for the liveness probe to be considered failed after having succeeded
    failureThreshold: 3

    # Minimum consecutive successes for the liveness probe to be considered successful after having failed
    successThreshold: 1

  readinessProbe:
    # Enable readiness probe
    enabled: true

    # Delay before the readiness probe is initiated
    initialDelaySeconds: 0

    # How often to perform the readiness probe
    periodSeconds: 10

    # When the readiness probe times out
    timeoutSeconds: 1

    # Minimum consecutive failures for the readiness probe to be considered failed after having succeeded
    failureThreshold: 3

    # Minimum consecutive successes for the readiness probe to be considered successful after having failed
    successThreshold: 1

  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: 200m
    #   memory: 1024Mi
    # requests:
    #   cpu: 50m
    #   memory: 512Mi

  nodeSelector: {}

  tolerations: []

  affinity: {}

  extraArgs:
    # evict-after-oom-threshold: 10m0s
    # eviction-rate-burst: 1
    # eviction-rate-limit: -1
    # eviction-tolerance: 0.5
    # in-recommendation-bounds-eviction-lifetime-threshold: 12h0m0s
    # kube-api-burst: 10
    # kube-api-qps: 5
    # min-replicas: 2
    # pod-update-threshold: 0.1
    # updater-interval: 1m0s
    # use-admission-controller-status: true
    v: 2
    # vpa-object-namespace: ""

  # Additional container environment variables
  extraEnvVars: []
  #  - name: MY-NAME
  #    value: "MY-VALUE"

  # Name of existing ConfigMap containing additional container environment variables
  extraEnvVarsCM:

  # Name of existing Secret containing additional container environment variables
  extraEnvVarsSecret:

  metrics:
    service:
      # Metrics service annotations
      annotations: {}

      # Metrics service type
      type: ClusterIP

      # Metrics static cluster IP address or None for headless service when service type is ClusterIP
      # clusterIP: 10.43.0.100

      # Metrics service port
      port: 8943
    serviceMonitor:
      # Specifies whether a service monitor should be created
      enabled: false
      # Extra annotations for the ServiceMonitor
      annotations: {}
      # Extra labels for the ServiceMonitor
      labels: {}
      # The name of the label on the target service to use as the job name in Prometheus
      jobLabel: ""
      # How frequently to scrape metrics
      interval: ""
      # Timeout after which the scrape is ended
      scrapeTimeout: ""
      # Specify additional relabeling of metrics
      metricRelabelings: []
      # Specify general relabeling
      relabelings: []

crds:
  image:
    # Image name
    repository: bitnami/kubectl

    # Image tag
    tag: 1.23.1

    # Image pull policy
    pullPolicy: IfNotPresent

  nodeSelector: {}

  tolerations: []

  affinity: {}

tests:
  image:
    # Image name
    repository: ghcr.io/cowboysysop/pytest

    # Image tag
    tag: 1.0.0

    # Image pull policy
    pullPolicy: IfNotPresent