#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#

###
### K8S Settings
###

### Namespace to deploy pulsar
# The namespace to use to deploy the pulsar components, if left empty
# will default to .Release.Namespace (aka helm --namespace).
namespace: ""
namespaceCreate: false

## clusterDomain as defined for your k8s cluster
clusterDomain: cluster.local

###
### Global Settings
###

## Set to true on install
initialize: false

## Set cluster name
# clusterName:

## Pulsar Metadata Prefix
##
## By default, pulsar stores all the metadata at root path.
## You can configure to have a prefix (e.g. "/my-pulsar-cluster").
## If you do so, all the pulsar and bookkeeper metadata will
## be stored under the provided path
metadataPrefix: ""

## Persistence
##
## If persistence is enabled, components that have state will
## be deployed with PersistentVolumeClaims, otherwise, for test
## purposes, they will be deployed with emptyDir
##
## This is a global setting that is applied to all components.
## If you need to disable persistence for a component,
## you can set the `volume.persistence` setting to `false` for
## that component.
##
## Deprecated in favor of using `volumes.persistence`
persistence: true
## Volume settings
volumes:
  persistence: true
  # configure the components to use local persistent volume
  # the local provisioner should be installed prior to enable local persistent volume
  local_storage: false

## AntiAffinity
##
## Flag to enable and disable `AntiAffinity` for all components.
## This is a global setting that is applied to all components.
## If you need to disable AntiAffinity for a component, you can set
## the `affinity.anti_affinity` settings to `false` for that component.
affinity:
  anti_affinity: true
  # Set the anti affinity type. Valid values:
  # requiredDuringSchedulingIgnoredDuringExecution - rules must be met for pod to be scheduled (hard) requires at least one node per replica
  # preferredDuringSchedulingIgnoredDuringExecution - scheduler will try to enforce but not guranentee
  type: requiredDuringSchedulingIgnoredDuringExecution

## Components
##
## Control what components of Apache Pulsar to deploy for the cluster
components:
  # zookeeper
  zookeeper: true
  # bookkeeper
  bookkeeper: true
  # bookkeeper - autorecovery
  autorecovery: true
  # broker
  broker: true
  # functions
  functions: true
  # proxy
  proxy: true
  # toolset
  toolset: true
  # pulsar manager
  pulsar_manager: true

## Monitoring Components
##
## Control what components of the monitoring stack to deploy for the cluster
monitoring:
  # monitoring - prometheus
  prometheus: true
  # monitoring - grafana
  grafana: true
  # monitoring - node_exporter
  node_exporter: true
  # alerting - alert-manager
  alert_manager: true

## which extra components to deploy (Deprecated)
extra:
  # Pulsar proxy
  proxy: false
  # Bookkeeper auto-recovery
  autoRecovery: false
  # Pulsar dashboard
  # Deprecated
  # Replace pulsar-dashboard with pulsar-manager
  dashboard: false
  # pulsar manager
  pulsar_manager: false
  # Monitoring stack (prometheus and grafana)
  monitoring: false
  # Configure Kubernetes runtime for Functions
  functionsAsPods: false

## Images
##
## Control what images to use for each component
images:
  zookeeper:
    repository: apachepulsar/pulsar-all
    tag: 2.7.0
    pullPolicy: IfNotPresent
  bookie:
    repository: apachepulsar/pulsar-all
    tag: 2.7.0
    pullPolicy: IfNotPresent
  autorecovery:
    repository: apachepulsar/pulsar-all
    tag: 2.7.0
    pullPolicy: IfNotPresent
  broker:
    repository: apachepulsar/pulsar-all
    tag: 2.7.0
    pullPolicy: IfNotPresent
  proxy:
    repository: apachepulsar/pulsar-all
    tag: 2.7.0
    pullPolicy: IfNotPresent
  functions:
    repository: apachepulsar/pulsar-all
    tag: 2.7.0
  prometheus:
    repository: prom/prometheus
    tag: v2.17.2
    pullPolicy: IfNotPresent
  grafana:
    repository: streamnative/apache-pulsar-grafana-dashboard-k8s
    tag: 0.0.10
    pullPolicy: IfNotPresent
  pulsar_manager:
    repository: apachepulsar/pulsar-manager
    tag: v0.1.0
    pullPolicy: IfNotPresent
    hasCommand: false

## TLS
## templates/tls-certs.yaml
##
## The chart is using cert-manager for provisioning TLS certs for
## brokers and proxies.
tls:
  enabled: false
  # common settings for generating certs
  common:
    # 90d
    duration: 2160h
    # 15d
    renewBefore: 360h
    organization:
      - pulsar
    keySize: 4096
    keyAlgorithm: rsa
    keyEncoding: pkcs8
  # settings for generating certs for proxy
  proxy:
    enabled: false
    cert_name: tls-proxy
  # settings for generating certs for broker
  broker:
    enabled: false
    cert_name: tls-broker
  # settings for generating certs for bookies
  bookie:
    enabled: false
    cert_name: tls-bookie
  # settings for generating certs for zookeeper
  zookeeper:
    enabled: false
    cert_name: tls-zookeeper
  # settings for generating certs for recovery
  autorecovery:
    cert_name: tls-recovery
  # settings for generating certs for toolset
  toolset:
    cert_name: tls-toolset

# Enable or disable broker authentication and authorization.
auth:
  authentication:
    enabled: false
    provider: "jwt"
    jwt:
      # Enable JWT authentication
      # If the token is generated by a secret key, set the usingSecretKey as true.
      # If the token is generated by a private key, set the usingSecretKey as false.
      usingSecretKey: false
  authorization:
    enabled: false
  superUsers:
    # broker to broker communication
    broker: "broker-admin"
    # proxy to broker communication
    proxy: "proxy-admin"
    # pulsar-admin client to broker/proxy communication
    client: "admin"

######################################################################
# External dependencies
######################################################################

## cert-manager
## templates/tls-cert-issuer.yaml
##
## Cert manager is used for automatically provisioning TLS certificates
## for components within a Pulsar cluster
certs:
  internal_issuer:
    enabled: false
    component: internal-cert-issuer
    type: selfsigning
  issuers:
    selfsigning:

######################################################################
# Below are settings for each component
######################################################################

## Pulsar: Zookeeper cluster
## templates/zookeeper-statefulset.yaml
##
zookeeper:
  # use a component name that matches your grafana configuration
  # so the metrics are correctly rendered in grafana dashboard
  component: zookeeper
  # the number of zookeeper servers to run. it should be an odd number larger than or equal to 3.
  replicaCount: 3
  updateStrategy:
    type: RollingUpdate
  podManagementPolicy: OrderedReady
  # If using Prometheus-Operator enable this PodMonitor to discover zookeeper scrape targets
  # Prometheus-Operator does not add scrape targets based on k8s annotations
  podMonitor:
    enabled: false
    interval: 10s
    scrapeTimeout: 10s
  ports:
    http: 8000
    client: 2181
    clientTls: 2281
    follower: 2888
    leaderElection: 3888
  # nodeSelector:
    # cloud.google.com/gke-nodepool: default-pool
  probe:
    liveness:
      enabled: true
      failureThreshold: 10
      initialDelaySeconds: 10
      periodSeconds: 30
    readiness:
      enabled: true
      failureThreshold: 10
      initialDelaySeconds: 10
      periodSeconds: 30
    startup:
      enabled: false
      failureThreshold: 30
      initialDelaySeconds: 10
      periodSeconds: 30
  affinity:
    anti_affinity: true
    # Set the anti affinity type. Valid values:
    # requiredDuringSchedulingIgnoredDuringExecution - rules must be met for pod to be scheduled (hard) requires at least one node per replica
    # preferredDuringSchedulingIgnoredDuringExecution - scheduler will try to enforce but not guranentee
    type: requiredDuringSchedulingIgnoredDuringExecution
  annotations:
    prometheus.io/scrape: "true"
    prometheus.io/port: "8000"
  tolerations: []
  gracePeriod: 30
  resources:
    requests:
      memory: 256Mi
      cpu: 0.1
  volumes:
    # use a persistent volume or emptyDir
    persistence: true
    data:
      name: data
      size: 20Gi
      local_storage: true
      ## If you already have an existent storage class and want to reuse it, you can specify its name with the option below
      ##
      # storageClassName: existent-storage-class
      #
      ## Instead if you want to create a new storage class define it below
      ## If left undefined no storage class will be defined along with PVC
      ##
      # storageClass:
        # type: pd-ssd
        # fsType: xfs
        # provisioner: kubernetes.io/gce-pd
  ## Zookeeper configmap
  ## templates/zookeeper-configmap.yaml
  ##
  configData:
    PULSAR_MEM: >
      -Xms64m -Xmx128m
    PULSAR_GC: >
      -XX:+UseG1GC
      -XX:MaxGCPauseMillis=10
      -Dcom.sun.management.jmxremote
      -Djute.maxbuffer=10485760
      -XX:+ParallelRefProcEnabled
      -XX:+UnlockExperimentalVMOptions
      -XX:+DoEscapeAnalysis
      -XX:+DisableExplicitGC
      -XX:+PerfDisableSharedMem
  ## Zookeeper service
  ## templates/zookeeper-service.yaml
  ##
  service:
    annotations:
      service.alpha.kubernetes.io/tolerate-unready-endpoints: "true"
  ## Zookeeper PodDisruptionBudget
  ## templates/zookeeper-pdb.yaml
  ##
  pdb:
    usePolicy: true
    maxUnavailable: 1

## Pulsar: Bookkeeper cluster
## templates/bookkeeper-statefulset.yaml
##
bookkeeper:
  # use a component name that matches your grafana configuration
  # so the metrics are correctly rendered in grafana dashboard
  component: bookie
  ## BookKeeper Cluster Initialize
  ## templates/bookkeeper-cluster-initialize.yaml
  metadata:
    ## Set the resources used for running `bin/bookkeeper shell initnewcluster`
    ##
    resources:
      # requests:
        # memory: 4Gi
        # cpu: 2
  replicaCount: 4
  updateStrategy:
    type: RollingUpdate
  podManagementPolicy: Parallel
  # If using Prometheus-Operator enable this PodMonitor to discover bookie scrape targets
  # Prometheus-Operator does not add scrape targets based on k8s annotations
  podMonitor:
    enabled: false
    interval: 10s
    scrapeTimeout: 10s
  ports:
    http: 8000
    bookie: 3181
  # nodeSelector:
    # cloud.google.com/gke-nodepool: default-pool
  probe:
    liveness:
      enabled: true
      failureThreshold: 60
      initialDelaySeconds: 10
      periodSeconds: 30
    readiness:
      enabled: true
      failureThreshold: 60
      initialDelaySeconds: 10
      periodSeconds: 30
    startup:
      enabled: false
      failureThreshold: 30
      initialDelaySeconds: 60
      periodSeconds: 30
  affinity:
    anti_affinity: true
    # Set the anti affinity type. Valid values:
    # requiredDuringSchedulingIgnoredDuringExecution - rules must be met for pod to be scheduled (hard) requires at least one node per replica
    # preferredDuringSchedulingIgnoredDuringExecution - scheduler will try to enforce but not guranentee
    type: requiredDuringSchedulingIgnoredDuringExecution
  annotations: {}
  tolerations: []
  gracePeriod: 30
  resources:
    requests:
      memory: 512Mi
      cpu: 0.2
  volumes:
    # use a persistent volume or emptyDir
    persistence: true
    journal:
      name: journal
      size: 10Gi
      local_storage: true
      ## If you already have an existent storage class and want to reuse it, you can specify its name with the option below
      ##
      # storageClassName: existent-storage-class
      #
      ## Instead if you want to create a new storage class define it below
      ## If left undefined no storage class will be defined along with PVC
      ##
      # storageClass:
        # type: pd-ssd
        # fsType: xfs
        # provisioner: kubernetes.io/gce-pd
    ledgers:
      name: ledgers
      size: 50Gi
      local_storage: true
      ## If you already have an existent storage class and want to reuse it, you can specify its name with the option below
      ##
      # storageClassName: existent-storage-class
      #
      ## Instead if you want to create a new storage class define it below
      ## If left undefined no storage class will be defined along with PVC
      ##
      # storageClass:
        # type: pd-ssd
        # fsType: xfs
        # provisioner: kubernetes.io/gce-pd
  ## Bookkeeper configmap
  ## templates/bookkeeper-configmap.yaml
  ##
  configData:
    # we use `bin/pulsar` for starting bookie daemons
    PULSAR_MEM: >
      -Xms128m
      -Xmx256m
      -XX:MaxDirectMemorySize=256m
    PULSAR_GC: >
      -XX:+UseG1GC
      -XX:MaxGCPauseMillis=10
      -XX:+ParallelRefProcEnabled
      -XX:+UnlockExperimentalVMOptions
      -XX:+DoEscapeAnalysis
      -XX:ParallelGCThreads=4
      -XX:ConcGCThreads=4
      -XX:G1NewSizePercent=50
      -XX:+DisableExplicitGC
      -XX:-ResizePLAB
      -XX:+ExitOnOutOfMemoryError
      -XX:+PerfDisableSharedMem
      -XX:+PrintGCDetails
      -XX:+PrintGCTimeStamps
      -XX:+PrintGCApplicationStoppedTime
      -XX:+PrintHeapAtGC
      -verbosegc
      -Xloggc:/var/log/bookie-gc.log
      -XX:G1LogLevel=finest
    # configure the memory settings based on jvm memory settings
    dbStorage_writeCacheMaxSizeMb: "32"
    dbStorage_readAheadCacheMaxSizeMb: "32"
    dbStorage_rocksDB_writeBufferSizeMB: "8"
    dbStorage_rocksDB_blockCacheSize: "8388608"
  ## Bookkeeper Service
  ## templates/bookkeeper-service.yaml
  ##
  service:
    spec:
      publishNotReadyAddresses: true
  ## Bookkeeper PodDisruptionBudget
  ## templates/bookkeeper-pdb.yaml
  ##
  pdb:
    usePolicy: true
    maxUnavailable: 1

## Pulsar: Bookkeeper AutoRecovery
## templates/autorecovery-statefulset.yaml
##
autorecovery:
  # use a component name that matches your grafana configuration
  # so the metrics are correctly rendered in grafana dashboard
  component: recovery
  replicaCount: 1
  ports:
    http: 8000
  # nodeSelector:
    # cloud.google.com/gke-nodepool: default-pool
  affinity:
    anti_affinity: true
    # Set the anti affinity type. Valid values:
    # requiredDuringSchedulingIgnoredDuringExecution - rules must be met for pod to be scheduled (hard) requires at least one node per replica
    # preferredDuringSchedulingIgnoredDuringExecution - scheduler will try to enforce but not guranentee
    type: requiredDuringSchedulingIgnoredDuringExecution
  annotations: {}
  # tolerations: []
  gracePeriod: 30
  resources:
    requests:
      memory: 64Mi
      cpu: 0.05
  ## Bookkeeper auto-recovery configmap
  ## templates/autorecovery-configmap.yaml
  ##
  configData:
    BOOKIE_MEM: >
      -Xms64m -Xmx64m

## Pulsar Zookeeper metadata. The metadata will be deployed as
## soon as the last zookeeper node is reachable. The deployment
## of other components that depends on zookeeper, such as the
## bookkeeper nodes, broker nodes, etc will only start to be
## deployed when the zookeeper cluster is ready and with the
## metadata deployed
pulsar_metadata:
  component: pulsar-init
  image:
    # the image used for running `pulsar-cluster-initialize` job
    repository: apachepulsar/pulsar-all
    tag: 2.7.0
    pullPolicy: IfNotPresent
  ## set an existing configuration store
  # configurationStore:
  configurationStoreMetadataPrefix: ""
  configurationStorePort: 2181

  ## optional, you can provide your own zookeeper metadata store for other components
  # to use this, you should explicit set components.zookeeper to false
  #
  # userProvidedZookeepers: "zk01.example.com:2181,zk02.example.com:2181"

## Pulsar: Broker cluster
## templates/broker-statefulset.yaml
##
broker:
  # use a component name that matches your grafana configuration
  # so the metrics are correctly rendered in grafana dashboard
  component: broker
  replicaCount: 3
  # If using Prometheus-Operator enable this PodMonitor to discover broker scrape targets
  # Prometheus-Operator does not add scrape targets based on k8s annotations
  podMonitor:
    enabled: false
    interval: 10s
    scrapeTimeout: 10s
  ports:
    http: 8080
    https: 8443
    pulsar: 6650
    pulsarssl: 6651
  # nodeSelector:
    # cloud.google.com/gke-nodepool: default-pool
  probe:
    liveness:
      enabled: true
      failureThreshold: 10
      initialDelaySeconds: 30
      periodSeconds: 10
    readiness:
      enabled: true
      failureThreshold: 10
      initialDelaySeconds: 30
      periodSeconds: 10
    startup:
      enabled: false
      failureThreshold: 30
      initialDelaySeconds: 60
      periodSeconds: 10
  affinity:
    anti_affinity: true
    # Set the anti affinity type. Valid values:
    # requiredDuringSchedulingIgnoredDuringExecution - rules must be met for pod to be scheduled (hard) requires at least one node per replica
    # preferredDuringSchedulingIgnoredDuringExecution - scheduler will try to enforce but not guranentee
    type: preferredDuringSchedulingIgnoredDuringExecution
  annotations: {}
  tolerations: []
  gracePeriod: 30
  resources:
    requests:
      memory: 512Mi
      cpu: 0.2
  ## Broker configmap
  ## templates/broker-configmap.yaml
  ##
  configData:
    PULSAR_MEM: >
      -Xms128m -Xmx256m -XX:MaxDirectMemorySize=256m
    PULSAR_GC: >
      -XX:+UseG1GC
      -XX:MaxGCPauseMillis=10
      -Dio.netty.leakDetectionLevel=disabled
      -Dio.netty.recycler.linkCapacity=1024
      -XX:+ParallelRefProcEnabled
      -XX:+UnlockExperimentalVMOptions
      -XX:+DoEscapeAnalysis
      -XX:ParallelGCThreads=4
      -XX:ConcGCThreads=4
      -XX:G1NewSizePercent=50
      -XX:+DisableExplicitGC
      -XX:-ResizePLAB
      -XX:+ExitOnOutOfMemoryError
      -XX:+PerfDisableSharedMem
    managedLedgerDefaultEnsembleSize: "2"
    managedLedgerDefaultWriteQuorum: "2"
    managedLedgerDefaultAckQuorum: "2"
  ## Broker service
  ## templates/broker-service.yaml
  ##
  service:
    annotations: {}
  ## Broker PodDisruptionBudget
  ## templates/broker-pdb.yaml
  ##
  pdb:
    usePolicy: true
    maxUnavailable: 1
  ### Broker service account
  ## templates/broker-service-account.yaml
  service_account:
    annotations: {}

## Pulsar: Functions Worker
## templates/function-worker-configmap.yaml
##
functions:
  component: functions-worker

## Pulsar: Proxy Cluster
## templates/proxy-statefulset.yaml
##
proxy:
  # use a component name that matches your grafana configuration
  # so the metrics are correctly rendered in grafana dashboard
  component: proxy
  replicaCount: 3
  # If using Prometheus-Operator enable this PodMonitor to discover proxy scrape targets
  # Prometheus-Operator does not add scrape targets based on k8s annotations
  podMonitor:
    enabled: false
    interval: 10s
    scrapeTimeout: 10s
  # nodeSelector:
    # cloud.google.com/gke-nodepool: default-pool
  probe:
    liveness:
      enabled: true
      failureThreshold: 10
      initialDelaySeconds: 30
      periodSeconds: 10
    readiness:
      enabled: true
      failureThreshold: 10
      initialDelaySeconds: 30
      periodSeconds: 10
    startup:
      enabled: false
      failureThreshold: 30
      initialDelaySeconds: 60
      periodSeconds: 10
  affinity:
    anti_affinity: true
    # Set the anti affinity type. Valid values:
    # requiredDuringSchedulingIgnoredDuringExecution - rules must be met for pod to be scheduled (hard) requires at least one node per replica
    # preferredDuringSchedulingIgnoredDuringExecution - scheduler will try to enforce but not guranentee
    type: requiredDuringSchedulingIgnoredDuringExecution
  annotations: {}
  tolerations: []
  gracePeriod: 30
  resources:
    requests:
      memory: 128Mi
      cpu: 0.2
  ## Proxy configmap
  ## templates/proxy-configmap.yaml
  ##
  configData:
    PULSAR_MEM: >
      -Xms64m -Xmx64m -XX:MaxDirectMemorySize=64m
    PULSAR_GC: >
      -XX:+UseG1GC
      -XX:MaxGCPauseMillis=10
      -Dio.netty.leakDetectionLevel=disabled
      -Dio.netty.recycler.linkCapacity=1024
      -XX:+ParallelRefProcEnabled
      -XX:+UnlockExperimentalVMOptions
      -XX:+DoEscapeAnalysis
      -XX:ParallelGCThreads=4
      -XX:ConcGCThreads=4
      -XX:G1NewSizePercent=50
      -XX:+DisableExplicitGC
      -XX:-ResizePLAB
      -XX:+ExitOnOutOfMemoryError
      -XX:+PerfDisableSharedMem
  ## Proxy service
  ## templates/proxy-service.yaml
  ##
  ports:
    http: 80
    https: 443
    pulsar: 6650
    pulsarssl: 6651
  service:
    annotations: {}
    type: LoadBalancer
  ## Proxy ingress
  ## templates/proxy-ingress.yaml
  ##
  ingress:
    enabled: false
    annotations: {}
    tls:
      enabled: false

      ## Optional. Leave it blank if your Ingress Controller can provide a default certificate.
      secretName: ""

    hostname: ""
    path: "/"
  ## Proxy PodDisruptionBudget
  ## templates/proxy-pdb.yaml
  ##
  pdb:
    usePolicy: true
    maxUnavailable: 1

## Pulsar Extra: Dashboard
## templates/dashboard-deployment.yaml
## Deprecated
##
dashboard:
  component: dashboard
  replicaCount: 1
  # nodeSelector:
    # cloud.google.com/gke-nodepool: default-pool
  annotations: {}
  tolerations: []
  gracePeriod: 0
  image:
    repository: apachepulsar/pulsar-dashboard
    tag: latest
    pullPolicy: IfNotPresent
  resources:
    requests:
      memory: 1Gi
      cpu: 250m
  ## Dashboard service
  ## templates/dashboard-service.yaml
  ##
  service:
    annotations: {}
    ports:
    - name: server
      port: 80
  ingress:
    enabled: false
    annotations: {}
    tls:
      enabled: false

      ## Optional. Leave it blank if your Ingress Controller can provide a default certificate.
      secretName: ""

    ## Required if ingress is enabled
    hostname: ""
    path: "/"
    port: 80


## Pulsar ToolSet
## templates/toolset-deployment.yaml
##
toolset:
  component: toolset
  useProxy: true
  replicaCount: 1
  # nodeSelector:
    # cloud.google.com/gke-nodepool: default-pool
  annotations: {}
  tolerations: []
  gracePeriod: 30
  resources:
    requests:
      memory: 256Mi
      cpu: 0.1
  ## Bastion configmap
  ## templates/bastion-configmap.yaml
  ##
  configData:
    PULSAR_MEM: >
      -Xms64M
      -Xmx128M
      -XX:MaxDirectMemorySize=128M

#############################################################
### Monitoring Stack : Prometheus / Grafana
#############################################################

## Monitoring Stack: Prometheus
## templates/prometheus-deployment.yaml
##

## Deprecated in favor of using `prometheus.rbac.enabled`
prometheus_rbac: false
prometheus:
  component: prometheus
  rbac:
    enabled: true
  replicaCount: 1
  # nodeSelector:
    # cloud.google.com/gke-nodepool: default-pool
  annotations: {}
  tolerations: []
  gracePeriod: 5
  port: 9090
  resources:
    requests:
      memory: 256Mi
      cpu: 0.1
  volumes:
    # use a persistent volume or emptyDir
    persistence: true
    data:
      name: data
      size: 10Gi
      local_storage: true
      ## If you already have an existent storage class and want to reuse it, you can specify its name with the option below
      ##
      # storageClassName: existent-storage-class
      #
      ## Instead if you want to create a new storage class define it below
      ## If left undefined no storage class will be defined along with PVC
      ##
      # storageClass:
        # type: pd-standard
        # fsType: xfs
        # provisioner: kubernetes.io/gce-pd
  ## Prometheus service
  ## templates/prometheus-service.yaml
  ##
  service:
    annotations: {}

## Monitoring Stack: Grafana
## templates/grafana-deployment.yaml
##
grafana:
  component: grafana
  replicaCount: 1
  # nodeSelector:
    # cloud.google.com/gke-nodepool: default-pool
  annotations: {}
  tolerations: []
  gracePeriod: 30
  resources:
    requests:
      memory: 250Mi
      cpu: 0.1
  ## Grafana service
  ## templates/grafana-service.yaml
  ##
  service:
    type: LoadBalancer
    port: 3000
    targetPort: 3000
    annotations: {}
  plugins: []
  ## Grafana configMap
  ## templates/grafana-configmap.yaml
  ##
  configData: {}
  ## Grafana ingress
  ## templates/grafana-ingress.yaml
  ##
  ingress:
    enabled: false
    annotations: {}
    labels: {}

    tls: []

    ## Optional. Leave it blank if your Ingress Controller can provide a default certificate.
    ## - secretName: ""

    ## Extra paths to prepend to every host configuration. This is useful when working with annotation based services.
    extraPaths: []
    hostname: ""
    protocol: http
    path: /grafana
    port: 80
  admin:
    user: pulsar
    password: pulsar

## Components Stack: pulsar_manager
## templates/pulsar-manager.yaml
##
pulsar_manager:
  component: pulsar-manager
  replicaCount: 1
  # nodeSelector:
  # cloud.google.com/gke-nodepool: default-pool
  annotations: {}
  tolerations: []
  gracePeriod: 30
  resources:
    requests:
      memory: 250Mi
      cpu: 0.1
  configData:
    REDIRECT_HOST: "http://127.0.0.1"
    REDIRECT_PORT: "9527"
    DRIVER_CLASS_NAME: org.postgresql.Driver
    URL: jdbc:postgresql://127.0.0.1:5432/pulsar_manager
    LOG_LEVEL: DEBUG
    ## If you enabled authentication support
    ## JWT_TOKEN: <token>
    ## SECRET_KEY: data:base64,<secret key>
  ## Pulsar manager service
  ## templates/pulsar-manager-service.yaml
  ##
  service:
    type: LoadBalancer
    port: 9527
    targetPort: 9527
    annotations: {}
  ## Pulsar manager ingress
  ## templates/pulsar-manager-ingress.yaml
  ##
  ingress:
    enabled: false
    annotations: {}
    tls:
      enabled: false

      ## Optional. Leave it blank if your Ingress Controller can provide a default certificate.
      secretName: ""

    hostname: ""
    path: "/"

  admin:
    user: pulsar
    password: pulsar