values.yaml

serviceAccount:
  create: true
  name: "k8sgpt"
  # -- Annotations for the managed k8sgpt workload service account
  annotations: {}
serviceMonitor:
  enabled: false
  additionalLabels: {}
  # The namespace where Prometheus expects to find the serviceMonitor
  # namespace: ""
grafanaDashboard:
  enabled: false
  # The namespace where Grafana expects to find the dashboard
  # namespace: ""
  folder:
    annotation: grafana_folder
    name: ai
  label:
    key: grafana_dashboard
    value: "1"
  # create GrafanaDashboard custom resource referencing to the configMap.
  # according to https://grafana-operator.github.io/grafana-operator/docs/examples/dashboard_from_configmap/readme/
  grafanaOperator:
    enabled: false
    matchLabels:
      dashboards: "grafana"
controllerManager:
  kubeRbacProxy:
    containerSecurityContext:
      allowPrivilegeEscalation: false
      capabilities:
        drop:
        - ALL
    image:
      repository: gcr.io/kubebuilder/kube-rbac-proxy
      tag: v0.16.0
    resources:
      limits:
        cpu: 500m
        memory: 128Mi
      requests:
        cpu: 5m
        memory: 64Mi
  manager:
    sinkWebhookTimeout: 30s
    containerSecurityContext:
      allowPrivilegeEscalation: false
      capabilities:
        drop:
        - ALL
    image:
      repository: ghcr.io/k8sgpt-ai/k8sgpt-operator
      tag: v0.2.0  # x-release-please-version
    resources:
      limits:
        cpu: 500m
        memory: 128Mi
      requests:
        cpu: 10m
        memory: 64Mi
  replicas: 1
  ## Node labels for pod assignment
  ## ref: https://kubernetes.io/docs/user-guide/node-selection/
  #
  nodeSelector: {}
kubernetesClusterDomain: cluster.local
metricsService:
  ports:
  - name: https
    port: 8443
    protocol: TCP
    targetPort: https
  type: ClusterIP