## @section Global parameters
## Global Docker image parameters
## Please, note that this will override the image parameters, including dependencies, configured to use the global value
## Current available global Docker image parameters: imageRegistry, imagePullSecrets and storageClass
##

## @param global.imageRegistry Global Docker image registry
## @param global.imagePullSecrets Global Docker registry secret names as an array
## @param global.storageClass Global StorageClass for Persistent Volume(s)
##
global:
  imageRegistry: ""
  ## E.g.
  ## imagePullSecrets:
  ##   - myRegistryKeySecretName
  ##
  imagePullSecrets: []
  storageClass: ""

## @section Common parameters
## @param commonLabels Labels to add to all deployed objects
##
commonLabels: {}
## @param commonAnnotations Annotations to add to all deployed objects
##
commonAnnotations: {}
## @param extraDeploy Array of extra objects to deploy with the release
##
extraDeploy: []

## @section Data Platform Chart parameters
## Configuration for the dataplatform prometheus exporter
##
dataplatform:
  serviceAccount:
    ## @param dataplatform.serviceAccount.create Specifies whether a ServiceAccount should be created
    ##
    create: true
    ## @param dataplatform.serviceAccount.name The name of the ServiceAccount to create
    ## If not set and create is true, a name is generated using the fullname template
    ##
    name: ""
    ## @param dataplatform.serviceAccount.automountServiceAccountToken Allows auto mount of ServiceAccountToken on the serviceAccount created
    ## Can be set to false if pods using this serviceAccount do not need to use K8s API
    ##
    automountServiceAccountToken: true
  ## Role Based Access
  ## ref: https://kubernetes.io/docs/admin/authorization/rbac/
  ##
  rbac:
    ## @param dataplatform.rbac.create Whether to create & use RBAC resources or not
    ## binding dataplatform ServiceAccount to a role
    ## that allows dataplatform pods querying the K8s API
    ##
    create: true
  exporter:
    ## @param dataplatform.exporter.enabled Start a prometheus exporter
    ##
    enabled: true
    ## Data Platform BP2 exporter image
    ## ref: https://hub.docker.com/r/bitnami/dataplatform-exporter/tags/
    ## @param dataplatform.exporter.image.registry dataplatform exporter image registry
    ## @param dataplatform.exporter.image.repository dataplatform exporter image repository
    ## @param dataplatform.exporter.image.tag dataplatform exporter image tag (immutable tags are recommended)
    ## @param dataplatform.exporter.image.pullPolicy dataplatform exporter image pull policy
    ## @param dataplatform.exporter.image.pullSecrets Specify docker-registry secret names as an array
    ##
    image:
      registry: docker.io
      repository: bitnami/dataplatform-exporter
      tag: 1.0.1-scratch-r22
      ## Specify a imagePullPolicy
      ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
      ## ref: https://kubernetes.io/docs/user-guide/images/#pre-pulling-images
      ##
      pullPolicy: IfNotPresent
      ## Optionally specify an array of imagePullSecrets (secrets must be manually created in the namespace)
      ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
      ## Example:
      ## pullSecrets:
      ##   - myRegistryKeySecretName
      ##
      pullSecrets: []
    ## Configuration file passed to the exporter.
    ## This exporter metrics configuration is used to emit only the health and state metrics configured below.
    ## In the below config metrics key,name and guage should not be changed.
    ## @param dataplatform.exporter.config [string] Data Platform Metrics Configuration emitted in Prometheus format
    ##
    config: |
      {
        "blueprintName": "bp2",
        "metrics": [
          {
            "name": "zookeeper_desired_nodes",
            "type": "gauge",
            "helpMessage": "Desired number of zookeeper nodes in the data platform",
            "key": "zookeeper",
            "dataComponent": "DesiredNodes"
          },
          {
            "name": "zookeeper_available_nodes",
            "type": "gauge",
            "helpMessage": "Available number of zookeeper nodes in the data platform",
            "key": "zookeeper",
            "dataComponent": "AvailableNodes"
          },
          {
            "name": "kafka_desired_nodes",
            "type": "gauge",
            "helpMessage": "Desired number of kafka nodes in the data platform",
            "key": "kafka",
            "dataComponent": "DesiredNodes"
          },
          {
            "name": "kafka_available_nodes",
            "type": "gauge",
            "helpMessage": "Available number of kafka nodes in the data platform",
            "key": "kafka",
            "dataComponent": "AvailableNodes"
          },
          {
            "name": "elasticsearch_master_desired_nodes",
            "type": "gauge",
            "helpMessage": "Desired number of elasticsearch master nodes in the data platform",
            "key": "elasticsearch-master",
            "dataComponent": "DesiredNodes"
          },
          {
            "name": "elasticsearch_master_available_nodes",
            "type": "gauge",
            "helpMessage": "Available number of elasticsearch master nodes in the data platform",
            "key": "elasticsearch-master",
            "dataComponent": "AvailableNodes"
          },
          {
            "name": "elasticsearch_data_desired_nodes",
            "type": "gauge",
            "helpMessage": "Desired number of elasticsearch data nodes in the data platform",
            "key": "elasticsearch-data",
            "dataComponent": "DesiredNodes"
          },
          {
            "name": "elasticsearch_data_available_nodes",
            "type": "gauge",
            "helpMessage": "Available number of elasticsearch data nodes in the data platform",
            "key": "elasticsearch-data",
            "dataComponent": "AvailableNodes"
          },
          {
            "name": "spark_master_desired_nodes",
            "type": "gauge",
            "helpMessage": "Desired number of spark master nodes in the data platform",
            "key": "spark-master",
            "dataComponent": "DesiredNodes"
          },
          {
            "name": "spark_master_available_nodes",
            "type": "gauge",
            "helpMessage": "Available number of spark master nodes in the data platform",
            "key": "spark-master",
            "dataComponent": "AvailableNodes"
          },
          {
            "name": "spark_worker_desired_nodes",
            "type": "gauge",
            "helpMessage": "Desired number of spark worker nodes in the data platform",
            "key": "spark-worker",
            "dataComponent": "DesiredNodes"
          },
          {
            "name": "spark_worker_available_nodes",
            "type": "gauge",
            "helpMessage": "Available number of spark worker nodes in the data platform",
            "key": "spark-worker",
            "dataComponent": "AvailableNodes"
          },
          {
            "name": "logstash_desired_nodes",
            "type": "gauge",
            "helpMessage": "Desired number of logstash nodes in the data platform",
            "key": "logstash",
            "dataComponent": "DesiredNodes"
          },
          {
            "name": "logstash_available_nodes",
            "type": "gauge",
            "helpMessage": "Available number of logstash nodes in the data platform",
            "key": "logstash",
            "dataComponent": "AvailableNodes"
          }
        ]
      }
    ## Configure extra options for liveness probe
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes
    ## @param dataplatform.exporter.livenessProbe.enabled Enable livenessProbe
    ## @param dataplatform.exporter.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
    ## @param dataplatform.exporter.livenessProbe.periodSeconds Period seconds for livenessProbe
    ## @param dataplatform.exporter.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
    ## @param dataplatform.exporter.livenessProbe.failureThreshold Failure threshold for livenessProbe
    ## @param dataplatform.exporter.livenessProbe.successThreshold Success threshold for livenessProbe
    ##
    livenessProbe:
      enabled: true
      initialDelaySeconds: 10
      periodSeconds: 5
      timeoutSeconds: 15
      failureThreshold: 15
      successThreshold: 1
    ## Configure extra options for readiness probe
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes
    ## @param dataplatform.exporter.readinessProbe.enabled Enable readinessProbe
    ## @param dataplatform.exporter.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
    ## @param dataplatform.exporter.readinessProbe.periodSeconds Period seconds for readinessProbe
    ## @param dataplatform.exporter.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
    ## @param dataplatform.exporter.readinessProbe.failureThreshold Failure threshold for readinessProbe
    ## @param dataplatform.exporter.readinessProbe.successThreshold Success threshold for readinessProbe
    ##
    readinessProbe:
      enabled: true
      initialDelaySeconds: 10
      periodSeconds: 5
      timeoutSeconds: 15
      failureThreshold: 15
      successThreshold: 15
    ## Configure extra options for startup probe
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-startup-probes/#configure-probes
    ## @param dataplatform.exporter.startupProbe.enabled Enable startupProbe
    ## @param dataplatform.exporter.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
    ## @param dataplatform.exporter.startupProbe.periodSeconds Period seconds for startupProbe
    ## @param dataplatform.exporter.startupProbe.timeoutSeconds Timeout seconds for startupProbe
    ## @param dataplatform.exporter.startupProbe.failureThreshold Failure threshold for startupProbe
    ## @param dataplatform.exporter.startupProbe.successThreshold Success threshold for startupProbe
    ##
    startupProbe:
      enabled: false
      initialDelaySeconds: 10
      periodSeconds: 5
      timeoutSeconds: 15
      failureThreshold: 15
      successThreshold: 15
    ## @param dataplatform.exporter.containerPorts.http Data Platform Prometheus exporter port
    ##
    containerPorts:
      http: 9090
    ## @param dataplatform.exporter.priorityClassName exporter priorityClassName
    ## Ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/
    ##
    priorityClassName: ""
    ## @param dataplatform.exporter.command Override Data Platform Exporter entrypoint string.
    ##
    command: []
    ## @param dataplatform.exporter.args Arguments for the provided command if needed
    ##
    args: []
    ## Exporter resource requests and limits
    ## ref: https://kubernetes.io/docs/user-guide/compute-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:'.
    ## @param dataplatform.exporter.resources.limits The resources limits for the container
    ## @param dataplatform.exporter.resources.requests The requested resources for the container
    ##
    resources:
      ## Example:
      ## limits:
      ##    cpu: 200m
      ##    memory: 256Mi
      ##
      limits: {}
      ## Examples:
      ## requests:
      ##    cpu: 200m
      ##    memory: 10Mi
      ##
      requests: {}
    ## dataplatform exporter containers' Security Context
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
    ## @param dataplatform.exporter.containerSecurityContext.enabled Enable Data Platform exporter containers' Security Context
    ## @param dataplatform.exporter.containerSecurityContext.runAsUser User ID for the containers.
    ## @param dataplatform.exporter.containerSecurityContext.runAsNonRoot Enable Data Platform exporter containers' Security Context runAsNonRoot
    ##
    containerSecurityContext:
      enabled: true
      runAsUser: 1001
      runAsNonRoot: true
    ## dataplatform exporter pods' Security Context
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
    ## @param dataplatform.exporter.podSecurityContext.enabled Enable Data Platform exporter pods' Security Context
    ## @param dataplatform.exporter.podSecurityContext.fsGroup Group ID for the pods.
    ##
    podSecurityContext:
      enabled: true
      fsGroup: 1001
    ## @param dataplatform.exporter.podAffinityPreset Data Platform exporter pod affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
    ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
    ##
    podAffinityPreset: ""
    ## @param dataplatform.exporter.podAntiAffinityPreset Data Platform exporter pod anti-affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
    ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
    ##
    podAntiAffinityPreset: soft
    ## Node affinity preset
    ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
    ##
    nodeAffinityPreset:
      ## @param dataplatform.exporter.nodeAffinityPreset.type Data Platform exporter node affinity preset type. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
      ##
      type: ""
      ## @param dataplatform.exporter.nodeAffinityPreset.key Data Platform exporter node label key to match Ignored if `affinity` is set.
      ## E.g.
      ## key: "kubernetes.io/e2e-az-name"
      ##
      key: ""
      ## @param dataplatform.exporter.nodeAffinityPreset.values Data Platform exporter node label values to match. Ignored if `affinity` is set.
      ## E.g.
      ## values:
      ##   - e2e-az1
      ##   - e2e-az2
      ##
      values: []
    ## @param dataplatform.exporter.affinity Affinity settings for exporter pod assignment. Evaluated as a template
    ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
    ##
    affinity: {}
    ## @param dataplatform.exporter.nodeSelector Node labels for exporter pods assignment. Evaluated as a template
    ## ref: https://kubernetes.io/docs/user-guide/node-selection/
    ##
    nodeSelector: {}
    ## @param dataplatform.exporter.tolerations Tolerations for exporter pods assignment. Evaluated as a template
    ## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
    ##
    tolerations: []
    ## @param dataplatform.exporter.podLabels Additional labels for Metrics exporter pod
    ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
    ##
    podLabels: {}
    ## @param dataplatform.exporter.podAnnotations Additional annotations for Metrics exporter pod
    ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
    ##
    podAnnotations: {}
    ## @param dataplatform.exporter.customLivenessProbe Override default liveness probe
    ##
    customLivenessProbe: {}
    ## @param dataplatform.exporter.customReadinessProbe Override default readiness probe
    ##
    customReadinessProbe: {}
    ## @param dataplatform.exporter.customStartupProbe Override default startup probe
    ##
    customStartupProbe: {}
    ## Update strategy
    ## If replicas = 1, an update can get "stuck", as the previous pod remains attached to the
    ## PV, and the "incoming" pod can never start. Changing the strategy to "Recreate" will
    ## terminate the single previous pod, so that the new, incoming pod can attach to the PV
    ## @param dataplatform.exporter.updateStrategy.type Update strategy - only really applicable for deployments with RWO PVs attached
    ## @param dataplatform.exporter.updateStrategy.rollingUpdate Deployment rolling update configuration parameters
    ##
    updateStrategy:
      type: RollingUpdate
      rollingUpdate: {}
    ## @param dataplatform.exporter.extraEnvVars Additional environment variables to set
    ## Example:
    ## extraEnvVars:
    ##   - name: FOO
    ##     value: "bar"
    ##
    extraEnvVars: []
    ## @param dataplatform.exporter.extraEnvVarsCM ConfigMap with extra environment variables
    ##
    extraEnvVarsCM: ""
    ## @param dataplatform.exporter.extraEnvVarsSecret Secret with extra environment variables
    ##
    extraEnvVarsSecret: ""
    ## @param dataplatform.exporter.extraVolumes Extra volumes to add to the deployment
    ##
    extraVolumes: []
    ## @param dataplatform.exporter.extraVolumeMounts Extra volume mounts to add to the container
    ##
    extraVolumeMounts: []
    ## @param dataplatform.exporter.initContainers Add init containers to the %%MAIN_CONTAINER_NAME%% pods
    ## Example:
    ## initContainers:
    ##   - name: your-image-name
    ##     image: your-image
    ##     imagePullPolicy: Always
    ##     ports:
    ##       - name: portname
    ##         containerPort: 1234
    ##
    initContainers: []
    ## @param dataplatform.exporter.sidecars Add sidecars to the %%MAIN_CONTAINER_NAME%% pods
    ## Example:
    ## sidecars:
    ##   - name: your-image-name
    ##     image: your-image
    ##     imagePullPolicy: Always
    ##     ports:
    ##       - name: portname
    ##         containerPort: 1234
    ##
    sidecars: []
    ## Service for the Data Platform exporter deployment
    ##
    service:
      ## @param dataplatform.exporter.service.type Service type for default Data Platform Prometheus exporter service
      ##
      type: ClusterIP
      ## @param dataplatform.exporter.service.annotations [object] Exporter service annotations
      ##
      annotations:
        prometheus.io/scrape: "true"
        prometheus.io/port: "9090"
        prometheus.io/path: "/metrics"
      ## @param dataplatform.exporter.service.labels Additional labels for Data Platform exporter service
      ##
      labels: {}
      ## @param dataplatform.exporter.service.ports.http Kubernetes Service port
      ##
      ports:
        http: 9090
      ## @param dataplatform.exporter.service.loadBalancerIP Load balancer IP for the Data Platform Exporter Service (optional, cloud specific)
      ## ref: https://kubernetes.io/docs/user-guide/services/#type-loadbalancer
      ##
      loadBalancerIP: ""
      ## @param dataplatform.exporter.service.nodePorts.http Node ports for the HTTP exporter service
      ## nodePorts:
      ##   http: <to set explicitly, choose port between 30000-32767>
      ##   https: <to set explicitly, choose port between 30000-32767>
      ##
      nodePorts:
        http: ""
      ## @param dataplatform.exporter.service.loadBalancerSourceRanges Exporter Load Balancer Source ranges
      ## loadBalancerSourceRanges:
      ##   - 10.10.10.0/24
      ##
      loadBalancerSourceRanges: []
    ## @param dataplatform.exporter.hostAliases Deployment pod host aliases
    ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
    ##
    hostAliases: []

  emitter:
    ## @param dataplatform.emitter.enabled Start Data Platform metrics emitter
    ##
    enabled: true
    ## Data Platform BP2 emitter image
    ## ref: https://hub.docker.com/r/bitnami/dataplatform-emitter/tags/
    ## @param dataplatform.emitter.image.registry Data Platform emitter image registry
    ## @param dataplatform.emitter.image.repository Data Platform emitter image repository
    ## @param dataplatform.emitter.image.tag Data Platform emitter image tag (immutable tags are recommended)
    ## @param dataplatform.emitter.image.pullPolicy Data Platform emitter image pull policy
    ## @param dataplatform.emitter.image.pullSecrets Specify docker-registry secret names as an array
    ##
    image:
      registry: docker.io
      repository: bitnami/dataplatform-emitter
      tag: 1.0.1-scratch-r26
      ## Specify a imagePullPolicy
      ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
      ## ref: https://kubernetes.io/docs/user-guide/images/#pre-pulling-images
      ##
      pullPolicy: IfNotPresent
      ## Optionally specify an array of imagePullSecrets (secrets must be manually created in the namespace)
      ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
      ## Example:
      ## pullSecrets:
      ##   - myRegistryKeySecretName
      ##
      pullSecrets: []
    ## Configure extra options for liveness probe
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes
    ## @param dataplatform.emitter.livenessProbe.enabled Enable livenessProbe
    ## @param dataplatform.emitter.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
    ## @param dataplatform.emitter.livenessProbe.periodSeconds Period seconds for livenessProbe
    ## @param dataplatform.emitter.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
    ## @param dataplatform.emitter.livenessProbe.failureThreshold Failure threshold for livenessProbe
    ## @param dataplatform.emitter.livenessProbe.successThreshold Success threshold for livenessProbe
    ##
    livenessProbe:
      enabled: true
      initialDelaySeconds: 10
      periodSeconds: 5
      timeoutSeconds: 15
      failureThreshold: 15
      successThreshold: 1
    ## Configure extra options for readiness probe
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-probes/#configure-probes
    ## @param dataplatform.emitter.readinessProbe.enabled Enable readinessProbe
    ## @param dataplatform.emitter.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
    ## @param dataplatform.emitter.readinessProbe.periodSeconds Period seconds for readinessProbe
    ## @param dataplatform.emitter.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
    ## @param dataplatform.emitter.readinessProbe.failureThreshold Failure threshold for readinessProbe
    ## @param dataplatform.emitter.readinessProbe.successThreshold Success threshold for readinessProbe
    ##
    readinessProbe:
      enabled: true
      initialDelaySeconds: 10
      periodSeconds: 5
      timeoutSeconds: 15
      failureThreshold: 15
      successThreshold: 15
    ## Configure extra options for startup probe
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-startup-probes/#configure-probes
    ## @param dataplatform.emitter.startupProbe.enabled Enable startupProbe
    ## @param dataplatform.emitter.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
    ## @param dataplatform.emitter.startupProbe.periodSeconds Period seconds for startupProbe
    ## @param dataplatform.emitter.startupProbe.timeoutSeconds Timeout seconds for startupProbe
    ## @param dataplatform.emitter.startupProbe.failureThreshold Failure threshold for startupProbe
    ## @param dataplatform.emitter.startupProbe.successThreshold Success threshold for startupProbe
    ##
    startupProbe:
      enabled: false
      initialDelaySeconds: 10
      periodSeconds: 5
      timeoutSeconds: 15
      failureThreshold: 15
      successThreshold: 15
    ## @param dataplatform.emitter.containerPorts.http Data Platform emitter port
    ##
    containerPorts:
      http: 8091
    ## @param dataplatform.emitter.priorityClassName exporter priorityClassName
    ## Ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/
    ##
    priorityClassName: ""
    ## @param dataplatform.emitter.command Override Data Platform entrypoint string.
    ##
    command: []
    ## @param dataplatform.emitter.args Arguments for the provided command if needed
    ##
    args: []
    ## Data Platform metrics emitter resource requests and limits
    ## ref: https://kubernetes.io/docs/user-guide/compute-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:'.
    ## @param dataplatform.emitter.resources.limits The resources limits for the container
    ## @param dataplatform.emitter.resources.requests The requested resources for the container
    ##
    resources:
      ## Example:
      ## limits:
      ##    cpu: 200m
      ##    memory: 256Mi
      ##
      limits: {}
      ## Examples:
      ## requests:
      ##    cpu: 200m
      ##    memory: 10Mi
      ##
      requests: {}
    ## Data Platform emitter containers' Security Context
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
    ## @param dataplatform.emitter.containerSecurityContext.enabled Enable Data Platform emitter containers' Security Context
    ## @param dataplatform.emitter.containerSecurityContext.runAsUser User ID for the containers.
    ## @param dataplatform.emitter.containerSecurityContext.runAsNonRoot Enable Data Platform emitter containers' Security Context runAsNonRoot
    ##
    containerSecurityContext:
      enabled: true
      runAsUser: 1001
      runAsNonRoot: true
    ## Data Platform emitter pods' Security Context
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
    ## @param dataplatform.emitter.podSecurityContext.enabled Enable Data Platform emitter pods' Security Context
    ## @param dataplatform.emitter.podSecurityContext.fsGroup Group ID for the pods.
    ##
    podSecurityContext:
      enabled: true
      fsGroup: 1001
    ## @param dataplatform.emitter.podAffinityPreset Data Platform emitter pod affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
    ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
    ##
    podAffinityPreset: ""
    ## @param dataplatform.emitter.podAntiAffinityPreset Data Platform emitter pod anti-affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
    ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
    ##
    podAntiAffinityPreset: soft
    ## Node affinity preset
    ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
    ##
    nodeAffinityPreset:
      ## @param dataplatform.emitter.nodeAffinityPreset.type Data Platform emitter node affinity preset type. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
      ##
      type: ""
      ## @param dataplatform.emitter.nodeAffinityPreset.key Data Platform emitter node label key to match Ignored if `affinity` is set.
      ## E.g.
      ## key: "kubernetes.io/e2e-az-name"
      ##
      key: ""
      ## @param dataplatform.emitter.nodeAffinityPreset.values Data Platform emitter node label values to match. Ignored if `affinity` is set.
      ## E.g.
      ## values:
      ##   - e2e-az1
      ##   - e2e-az2
      ##
      values: []
    ## @param dataplatform.emitter.affinity Affinity settings for emitter pod assignment. Evaluated as a template
    ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
    ##
    affinity: {}
    ## @param dataplatform.emitter.nodeSelector Node labels for emitter pods assignment. Evaluated as a template
    ## ref: https://kubernetes.io/docs/user-guide/node-selection/
    ##
    nodeSelector: {}
    ## @param dataplatform.emitter.tolerations Tolerations for emitter pods assignment. Evaluated as a template
    ## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
    ##
    tolerations: []
    ## @param dataplatform.emitter.podLabels Additional labels for Metrics emitter pod
    ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
    ##
    podLabels: {}
    ## @param dataplatform.emitter.podAnnotations Additional annotations for Metrics emitter pod
    ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
    ##
    podAnnotations: {}
    ## @param dataplatform.emitter.customLivenessProbe Override default liveness probe%%MAIN_CONTAINER_NAME%%
    ##
    customLivenessProbe: {}
    ## @param dataplatform.emitter.customReadinessProbe Override default readiness probe%%MAIN_CONTAINER_NAME%%
    ##
    customReadinessProbe: {}
    ## @param dataplatform.emitter.customStartupProbe Override default startup probe
    ##
    customStartupProbe: {}
    ## Update strategy
    ## If replicas = 1, an update can get "stuck", as the previous pod remains attached to the
    ## PV, and the "incoming" pod can never start. Changing the strategy to "Recreate" will
    ## terminate the single previous pod, so that the new, incoming pod can attach to the PV
    ## @param dataplatform.emitter.updateStrategy.type Update strategy - only really applicable for deployments with RWO PVs attached
    ## @param dataplatform.emitter.updateStrategy.rollingUpdate Deployment rolling update configuration parameters
    ##
    updateStrategy:
      type: RollingUpdate
      rollingUpdate: {}
    ## @param dataplatform.emitter.extraEnvVars Additional environment variables to set
    ## Example:
    ## extraEnvVars:
    ##   - name: FOO
    ##     value: "bar"
    ##
    extraEnvVars: []
    ## @param dataplatform.emitter.extraEnvVarsCM ConfigMap with extra environment variables
    ##
    extraEnvVarsCM: ""
    ## @param dataplatform.emitter.extraEnvVarsSecret Secret with extra environment variables
    ##
    extraEnvVarsSecret: ""
    ## @param dataplatform.emitter.extraVolumes Extra volumes to add to the deployment
    ##
    extraVolumes: []
    ## @param dataplatform.emitter.extraVolumeMounts Extra volume mounts to add to the container
    ##
    extraVolumeMounts: []
    ## @param dataplatform.emitter.initContainers Add init containers to the %%MAIN_CONTAINER_NAME%% pods
    ## Example:
    ## initContainers:
    ##   - name: your-image-name
    ##     image: your-image
    ##     imagePullPolicy: Always
    ##     ports:
    ##       - name: portname
    ##         containerPort: 1234
    ##
    initContainers: []
    ## @param dataplatform.emitter.sidecars Add sidecars to the %%MAIN_CONTAINER_NAME%% pods
    ## Example:
    ## sidecars:
    ##   - name: your-image-name
    ##     image: your-image
    ##     imagePullPolicy: Always
    ##     ports:
    ##       - name: portname
    ##         containerPort: 1234
    ##
    sidecars: []
    ## Service for the Data Platform emitter deployment
    ##
    service:
      ## @param dataplatform.emitter.service.type Service type for default Data Platform metrics emitter service
      ##
      type: ClusterIP
      ## @param dataplatform.emitter.service.annotations annotations for Data Platform emitter service
      ##
      annotations: {}
      ## @param dataplatform.emitter.service.labels Additional labels for Data Platform emitter service
      ##
      labels: {}
      ## @param dataplatform.emitter.service.ports.http Kubernetes Service port
      ##
      ports:
        http: 8091
      ## @param dataplatform.emitter.service.loadBalancerIP Load balancer IP for the dataplatform emitter Service (optional, cloud specific)
      ## ref: https://kubernetes.io/docs/user-guide/services/#type-loadbalancer
      ##
      loadBalancerIP: ""
      ## @param dataplatform.emitter.service.nodePorts.http Node ports for the HTTP emitter service
      ## nodePorts:
      ##   http: <to set explicitly, choose port between 30000-32767>
      ##   https: <to set explicitly, choose port between 30000-32767>
      ##
      nodePorts:
        http: ""
      ## @param dataplatform.emitter.service.loadBalancerSourceRanges Data Platform Emitter Load Balancer Source ranges
      ## loadBalancerSourceRanges:
      ##   - 10.10.10.0/24
      ##
      loadBalancerSourceRanges: []
    ## @param dataplatform.emitter.hostAliases Deployment pod host aliases
    ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
    ##
    hostAliases: []

## @section Kafka parameters
##

kafka:
  ## @param kafka.enabled Enable Kafka subchart
  ##
  enabled: true
  ## @param kafka.replicaCount Number of Kafka brokers
  ##
  replicaCount: 3
  ## @param kafka.heapOpts Kafka Java Heap size
  ##
  heapOpts: -Xmx4096m -Xms4096m
  ## Recommended values for cpu and memory requests
  ## @param kafka.resources.limits Resource limits for Kafka
  ## @param kafka.resources.requests.cpu CPU capacity request for Kafka nodes
  ## @param kafka.resources.requests.memory Memory capacity request for Kafka nodes
  ##
  resources:
    limits: {}
    requests:
      cpu: 250m
      memory: 5120Mi
  ## Anti Affinity rules set for resiliency and Affinity rules set for optimal performance
  ## @param kafka.affinity.podAntiAffinity [object] Kafka anti affinity rules
  ## @skip kafka.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
  ## @param kafka.affinity.podAffinity [object] Kafka affinity rules
  ## @skip kafka.affinity.podAffinity.preferredDuringSchedulingIgnoredDuringExecution
  ##
  affinity:
    podAntiAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        - labelSelector:
            matchExpressions:
              - key: app.kubernetes.io/component
                operator: In
                values:
                  - kafka
              - key: app.kubernetes.io/instance
                operator: In
                values:
                  - "{{ .Release.Name }}"
          topologyKey: "kubernetes.io/hostname"
    podAffinity:
      preferredDuringSchedulingIgnoredDuringExecution:
        - weight: 50
          podAffinityTerm:
            labelSelector:
              matchExpressions:
                - key: app.kubernetes.io/name
                  operator: In
                  values:
                    - zookeeper
                - key: app.kubernetes.io/instance
                  operator: In
                  values:
                    - "{{ .Release.Name }}"
            topologyKey: "kubernetes.io/hostname"
  ## Prometheus Exporters / Metrics
  ##
  metrics:
    ## Prometheus Kafka Exporter: exposes complimentary metrics to JMX Exporter
    ##
    kafka:
      ## @param kafka.metrics.kafka.enabled Enable prometheus exporter for Kafka
      ##
      enabled: false
      ## Prometheus Kafka Exporter' resource requests and limits
      ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
      ## @param kafka.metrics.kafka.resources.limits Resource limits for kafka prometheus exporter
      ## @param kafka.metrics.kafka.resources.requests.cpu CPU capacity request for Kafka prometheus nodes
      ## @param kafka.metrics.kafka.resources.requests.memory Memory capacity request for Kafka prometheus nodes
      ##
      resources:
        limits: {}
        requests:
          cpu: 100m
          memory: 128Mi
      ## Service configuration
      ## @param kafka.metrics.kafka.service.port Kafka Exporter Prometheus port to be used in wavefront configuration
      ##
      service:
        port: 9308
    ## Prometheus JMX Exporter: exposes the majority of Kafkas metrics
    ##
    jmx:
      ## @param kafka.metrics.jmx.enabled Enable JMX exporter for Kafka
      ##
      enabled: false
      ## Prometheus JMX Exporter' resource requests and limits
      ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
      ## @param kafka.metrics.jmx.resources.limits Resource limits for kafka prometheus exporter
      ## @param kafka.metrics.jmx.resources.requests.cpu CPU capacity request for Kafka prometheus nodes
      ## @param kafka.metrics.jmx.resources.requests.memory Memory capacity request for Kafka prometheus nodes
      ##
      resources:
        limits: {}
        requests:
          cpu: 100m
          memory: 128Mi
      ## Service configuration
      ## @param kafka.metrics.jmx.service.port JMX Prometheus exporter service port
      ## @param kafka.metrics.jmx.service.annotations [object] Exporter service annotations
      ##
      service:
        port: 5556
        ## Provide any additional annotations which may be required. This can be used to
        ## set the LoadBalancer service type to internal only.
        ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
        ##
        annotations:
          prometheus.io/scrape: "true"
          prometheus.io/port: "5556"
          prometheus.io/path: "/metrics"
          prometheus.io/prefix: "kafkajmx."

  ## Zookeeper parameters
  ##
  zookeeper:
    ## @param kafka.zookeeper.enabled Enable the Kafka subchart's Zookeeper
    ##
    enabled: true
    ## @param kafka.zookeeper.replicaCount Number of Zookeeper nodes
    ##
    replicaCount: 3
    ## @param kafka.zookeeper.heapSize Size in MB for the Java Heap options (Xmx and XMs) in Zookeeper. This env var is ignored if Xmx an Xms are configured via JVMFLAGS
    ##
    heapSize: 4096
    ## Recommended values for cpu and memory requests
    ## @param kafka.zookeeper.resources.limits Resource limits for zookeeper
    ## @param kafka.zookeeper.resources.requests.cpu CPU capacity request for zookeeper
    ## @param kafka.zookeeper.resources.requests.memory Memory capacity request for zookeeper
    ##
    resources:
      limits: {}
      requests:
        cpu: 250m
        memory: 5Gi
    ## Anti Affinity rules set for resiliency
    ## @param kafka.zookeeper.affinity.podAntiAffinity [object] Zookeeper pod anti affinity rules
    ## @skip kafka.zookeeper.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
    ##
    affinity:
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchExpressions:
                - key: app.kubernetes.io/name
                  operator: In
                  values:
                    - zookeeper
                - key: app.kubernetes.io/instance
                  operator: In
                  values:
                    - "{{ .Release.Name }}"
            topologyKey: "kubernetes.io/hostname"
  ## This value is only used when zookeeper.enabled is set to false.
  ##
  externalZookeeper:
    ## Server or list of external zookeeper servers to use. This is set to the zookeeper deployed as part of this chart
    ## @param kafka.externalZookeeper.servers Array of external Zookeeper servers
    ##
    servers: []

## @section Spark parameters
##

spark:
  ## @param spark.enabled Enable Spark subchart
  ##
  enabled: true
  ## Spark master specific configuration
  ## @param spark.master.webPort Web port for spark master
  ## @param spark.master.resources.limits Spark master resource limits
  ## @param spark.master.resources.requests.cpu Spark master CPUs
  ## @param spark.master.resources.requests.memory Spark master requested memory
  ## @param spark.master.affinity.podAntiAffinity [object] Anti affinity rules set for resiliency
  ## @skip spark.master.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
  ##
  master:
    ## Spark container ports
    ##
    webPort: 8080
    resources:
      ## Recommended values for cpu and memory requests
      ##
      limits: {}
      requests:
        cpu: 250m
        memory: 5Gi
    affinity:
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchExpressions:
                - key: app.kubernetes.io/component
                  operator: In
                  values:
                    - worker
                - key: app.kubernetes.io/instance
                  operator: In
                  values:
                    - "{{ .Release.Name }}"
            topologyKey: "kubernetes.io/hostname"
  ## Spark worker specific configuration
  ## @param spark.worker.replicaCount Number of spark workers
  ## @param spark.worker.webPort Web port for spark master
  ## @param spark.worker.resources.limits Spark master resource limits
  ## @param spark.worker.resources.requests.cpu Spark master CPUs
  ## @param spark.worker.resources.requests.memory Spark master requested memory
  ## @param spark.worker.affinity.podAntiAffinity [object] Anti affinity rules set for resiliency
  ## @skip spark.worker.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
  ##
  worker:
    replicaCount: 2
    ## Spark container ports
    ##
    webPort: 8081
    resources:
      ## Recommended values for cpu and memory requests
      ##
      limits: {}
      requests:
        cpu: 250m
        memory: 5Gi
    affinity:
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchExpressions:
                - key: app.kubernetes.io/component
                  operator: In
                  values:
                    - worker
                    - master
                - key: app.kubernetes.io/name
                  operator: In
                  values:
                    - spark
                - key: app.kubernetes.io/instance
                  operator: In
                  values:
                    - "{{ .Release.Name }}"
            topologyKey: "kubernetes.io/hostname"
  ## Metrics configuration
  ## @param spark.metrics.enabled Enable Prometheus exporter for Spark
  ## @param spark.metrics.masterAnnotations [object] Annotations for Spark master exporter
  ## @param spark.metrics.workerAnnotations [object] Annotations for Spark worker exporter
  ##
  metrics:
    enabled: false
    ## Annotations for the Prometheus metrics on master nodes
    ##
    masterAnnotations:
      prometheus.io/scrape: "true"
      prometheus.io/path: "/metrics/"
      prometheus.io/port: "8080"
      prometheus.io/prefix: "spark."
    ## Annotations for the Prometheus metrics on worker nodes
    ##
    workerAnnotations:
      prometheus.io/scrape: "true"
      prometheus.io/path: "/metrics/"
      prometheus.io/port: "8081"
      prometheus.io/prefix: "spark."

## @section Elasticsearch parameters
##

elasticsearch:
  ## @param elasticsearch.enabled Enable Elasticsearch
  ##
  enabled: true
  ## @param elasticsearch.global.kibanaEnabled Enable Kibana
  ##
  global:
    kibanaEnabled: true
  ## Elasticsearch master-eligible node parameters
  ## @param elasticsearch.master.replicas Number of Elasticsearch replicas
  ## @param elasticsearch.master.heapSize Heap Size for Elasticsearch master
  ## @param elasticsearch.master.affinity.podAntiAffinity [object] Elasticsearch pod anti affinity
  ## @param elasticsearch.master.resources.limits Elasticsearch master resource limits
  ## @param elasticsearch.master.resources.requests.cpu Elasticsearch master CPUs
  ## @param elasticsearch.master.resources.requests.memory Elasticsearch master requested memory
  ##
  master:
    ## Number of master-eligible node(s) replicas to deploy
    ##
    replicas: 3
    heapSize: 768m
    ## Affinity for pod assignment
    ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
    ## Note: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
    ## @param elasticsearch.master.affinity.podAntiAffinity [object] Anti affinity rules set for resiliency
    ## @skip elasticsearch.master.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
    ##
    affinity:
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchExpressions:
                - key: app.kubernetes.io/component
                  operator: In
                  values:
                    - master
                - key: app.kubernetes.io/name
                  operator: In
                  values:
                    - elasticsearch
                - key: app.kubernetes.io/instance
                  operator: In
                  values:
                    - "{{ .Release.Name }}"
            topologyKey: "kubernetes.io/hostname"

    ## Elasticsearch master-eligible container's resource requests and limits
    ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
    ##
    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.
      ##
      limits: {}
      requests:
        cpu: 250m
        memory: 1Gi
  ## Elasticsearch data node parameters
  ## @param elasticsearch.data.name Elasticsearch data node name
  ## @param elasticsearch.data.replicas Number of Elasticsearch replicas
  ## @param elasticsearch.data.heapSize Heap Size for Elasticsearch data node
  ## @param elasticsearch.data.affinity.podAntiAffinity [object] Anti affinity rules set for resiliency
  ## @skip elasticsearch.data.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
  ## @param elasticsearch.data.resources.limits Elasticsearch data node resource limits
  ## @param elasticsearch.data.resources.requests.cpu Elasticsearch data node CPUs
  ## @param elasticsearch.data.resources.requests.memory Elasticsearch data node requested memory
  ##
  data:
    name: data
    ## Number of data node(s) replicas to deploy
    ##
    replicas: 2
    heapSize: 4096m
    ## Affinity for pod assignment
    ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
    ## Note: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
    ##
    affinity:
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchExpressions:
                - key: app.kubernetes.io/component
                  operator: In
                  values:
                    - data
                - key: app.kubernetes.io/name
                  operator: In
                  values:
                    - elasticsearch
                - key: app.kubernetes.io/instance
                  operator: In
                  values:
                    - "{{ .Release.Name }}"
            topologyKey: "kubernetes.io/hostname"

    ## Elasticsearch data container's resource requests and limits
    ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
    ##
    resources:
      limits: {}
      requests:
        cpu: 250m
        memory: 5Gi
  ## Elasticsearch coordinating-only node parameters
  ## @param elasticsearch.coordinating.replicas Number of Elasticsearch replicas
  ## @param elasticsearch.coordinating.heapSize Heap Size for Elasticsearch coordinating
  ## @param elasticsearch.coordinating.affinity.podAntiAffinity [object] Anti affinity rules set for resiliency
  ## @skip elasticsearch.coordinating.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
  ## @param elasticsearch.coordinating.resources.limits Elasticsearch coordinating resource limits
  ## @param elasticsearch.coordinating.resources.requests.cpu Elasticsearch coordinating CPUs
  ## @param elasticsearch.coordinating.resources.requests.memory Elasticsearch coordinating requested memory
  ##
  coordinating:
    ## Number of coordinating-only node(s) replicas to deploy
    ##
    replicas: 2
    heapSize: 768m
    ## Affinity for pod assignment
    ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
    ## Note: podAffinityPreset, podAntiAffinityPreset, and  nodeAffinityPreset will be ignored when it's set
    ##
    affinity:
      podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
          - labelSelector:
              matchExpressions:
                - key: app.kubernetes.io/component
                  operator: In
                  values:
                    - coordinating-only
                - key: app.kubernetes.io/name
                  operator: In
                  values:
                    - elasticsearch
                - key: app.kubernetes.io/instance
                  operator: In
                  values:
                    - "{{ .Release.Name }}"
            topologyKey: "kubernetes.io/hostname"
    ## Elasticsearch coordinating-only container's resource requests and limits
    ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
    ##
    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.
      ##
      limits: {}
      requests:
        cpu: 250m
        memory: 1Gi
  ## Elasticsearch Prometheus exporter configuration
  ## ref: https://hub.docker.com/r/bitnami/elasticsearch-exporter/tags/
  ##
  ## @param elasticsearch.metrics.enabled Enable Prometheus exporter for Elasticsearch
  ## @param elasticsearch.metrics.resources.limits Elasticsearch metrics resource limits
  ## @param elasticsearch.metrics.resources.requests.cpu Elasticsearch metrics CPUs
  ## @param elasticsearch.metrics.resources.requests.memory Elasticsearch metrics requested memory
  ## @param elasticsearch.metrics.service.annotations [object] Elasticsearch metrics service annotations
  ##
  metrics:
    enabled: false
    ## Elasticsearch Prometheus exporter resource requests and limits
    ## ref: https://kubernetes.io/docs/user-guide/compute-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:'.
    ##
    resources:
      limits: {}
      requests:
        cpu: 100m
        memory: 128Mi
    service:
      ## Provide any additional annotations which may be required. This can be used to
      ## set the LoadBalancer service type to internal only.
      ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
      ##
      annotations:
        prometheus.io/scrape: "true"
        prometheus.io/port: "9114"

## @section Logstash parameters
##

logstash:
  ## @param logstash.enabled Enable Logstash
  ##
  enabled: true
  ## Number of Logstash replicas to deploy
  ## @param logstash.replicaCount Number of Logstash replicas
  ##
  replicaCount: 2
  ## Affinity for pod assignment. Evaluated as a template.
  ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
  ## Note: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
  ## @param logstash.affinity.podAntiAffinity [object] Logstash pod anti affinity
  ## @skip logstash.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
  ##
  affinity:
    podAntiAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        - labelSelector:
            matchExpressions:
              - key: app.kubernetes.io/name
                operator: In
                values:
                  - logstash
              - key: app.kubernetes.io/instance
                operator: In
                values:
                  - "{{ .Release.Name }}"
          topologyKey: "kubernetes.io/hostname"
  ## @param logstash.extraEnvVars [array] Array containing extra env vars to configure Logstash
  ## For example:
  ## extraEnvVars:
  ##  - name: ELASTICSEARCH_HOST
  ##    value: "x.y.z"
  ##
  extraEnvVars:
    - name: LS_JAVA_OPTS
      value: "-Xmx1g -Xms1g"
  ## Logstash containers' resource requests and limits
  ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
  ## @param logstash.resources.limits Elasticsearch metrics resource limits
  ## @param logstash.resources.requests.cpu Elasticsearch metrics CPUs
  ## @param logstash.resources.requests.memory Elasticsearch metrics requested memory
  ##
  resources:
    limits: {}
    requests:
      cpu: 250m
      memory: 1500Mi
  ## Prometheus metrics
  ##
  metrics:
    ## @param logstash.metrics.enabled Enable metrics for logstash
    ##
    enabled: false
    ## Logstash Prometheus Exporter containers' resource requests and limits
    ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
    ## @param logstash.metrics.resources.limits Elasticsearch metrics resource limits
    ## @param logstash.metrics.resources.requests.cpu Elasticsearch metrics CPUs
    ## @param logstash.metrics.resources.requests.memory Elasticsearch metrics requested memory
    ##
    resources:
      limits: {}
      requests:
        cpu: 100m
        memory: 128Mi
    ## @param logstash.metrics.service.port Logstash Prometheus port
    ##
    service:
      port: 9198

## @section Tanzu Observability (Wavefront) parameters
##

wavefront:
  ## @param wavefront.enabled Enable Tanzu Observability Framework
  ##
  enabled: false
  ## This is a unique name for the cluster (required)
  ## All metrics will receive a `cluster` tag with this value
  ## @param wavefront.clusterName Cluster name
  ##
  clusterName: KUBERNETES_CLUSTER_NAME
  ## Wavefront URL (cluster) and API Token (required)
  ## @param wavefront.wavefront.url Tanzu Observability cluster URL
  ## @param wavefront.wavefront.token Tanzu Observability access token
  ## @param wavefront.wavefront.existingSecret Tanzu Observability existing secret
  ##
  wavefront:
    url: https://YOUR_CLUSTER.wavefront.com
    token: YOUR_API_TOKEN
    ## Name of an existing secret containing the token
    ##
    existingSecret: ""
  ## Wavefront Collector is responsible to get all Kubernetes metrics from your cluster.
  ## It will capture Kubernetes resources metrics available from the kubelets,
  ## as well as auto-discovery capabilities.
  ## @param wavefront.collector.resources.limits Wavefront collector metrics resource limits
  ## @param wavefront.collector.resources.requests.cpu Wavefront collector metrics CPUs
  ## @param wavefront.collector.resources.requests.memory Wavefront collector metrics requested memory
  ## @param wavefront.collector.discovery.enabled Enable wavefront discovery
  ## @param wavefront.collector.discovery.enableRuntimeConfigs Enable runtime configs for wavefront discovery
  ## @param wavefront.collector.discovery.config [array] Wavefront discovery config
  ##
  collector:
    ## Rules based discovery configuration
    ## Ref: https://github.com/wavefrontHQ/wavefront-kubernetes-collector/blob/master/docs/discovery.md
    ##
    resources:
      limits: {}
      requests:
        cpu: 200m
        memory: 10Mi
    discovery:
      ## @param wavefront.collector.discovery.enabled Rules based and Prometheus endpoints auto-discovery
      ##
      enabled: true
      ## @param wavefront.collector.discovery.enableRuntimeConfigs Enable runtime discovery rules
      ## Ref: https://github.com/wavefrontHQ/wavefront-collector-for-kubernetes/blob/master/docs/discovery.md#runtime-configurations
      ##
      enableRuntimeConfigs: true
      ## @param wavefront.collector.discovery.config [array] Configuration for rules based auto-discovery
      ##
      ## Example:
      ## config:
      ##  - name: kafka-discovery
      ##    type: prometheus
      ##    selectors:
      ##      images:
      ##        - "*bitnami/kafka-exporter*"
      ##    port: 9308
      ##    path: /metrics
      ##    scheme: http
      ##  - name: kafka-jmx-discovery
      ##    type: prometheus
      ##    selectors:
      ##      images:
      ##        - "*bitnami/jmx-exporter*"
      ##    port: 5556
      ##    path: /metrics
      ##    scheme: http
      ##    prefix: kafkajmx.
      ##  - name: elasticsearch-discovery
      ##    type: prometheus
      ##    selectors:
      ##      images:
      ##        - "*bitnami/elasticsearch-exporter*"
      ##    port: 9114
      ##    path: /metrics
      ##    scheme: http
      ##  - name: logstash-discovery
      ##    type: prometheus
      ##    selectors:
      ##      images:
      ##        - "*bitnami/logstash-exporter*"
      ##    port: 9198
      ##    path: /metrics
      ##    scheme: http
      ##  - name: spark-worker-discovery
      ##    type: prometheus
      ##    selectors:
      ##      images:
      ##        - "*bitnami/spark*"
      ##    port: 8081
      ##    path: /metrics/
      ##    scheme: http
      ##    prefix: spark.
      ##  - name: spark-master-discovery
      ##    type: prometheus
      ##    selectors:
      ##      images:
      ##        - "*bitnami/spark*"
      ##    port: 8080
      ##    path: /metrics/
      ##    scheme: http
      ##    prefix: spark.
      ##
      config: []
  proxy:
    ## Wavefront Proxy resource requests and limits
    ## ref: https://kubernetes.io/docs/user-guide/compute-resources/
    ## @param wavefront.proxy.resources.limits Wavefront Proxy metrics resource limits
    ## @param wavefront.proxy.resources.requests.cpu Wavefront Proxy metrics CPUs
    ## @param wavefront.proxy.resources.requests.memory Wavefront Proxy metrics requested memory
    ##
    resources:
      limits: {}
      requests:
        cpu: 100m
        memory: 5Gi