# Copy these values to your application chart completely and then modify those bits where
# the default for your application differs. The image.repository is a prime candidate for that.

replicaCount: 1
# revisionHistoryLimit: can be configured to reduce/increase amount of stored replica sets for rollback
revisionHistoryLimit: 10
image:
  repository: confluentinc/cp-kafka
  pullPolicy: IfNotPresent
  # Overrides the image tag whose default is latest
  tag: "7.5.1"
# If image is not accessible for Kubernetes without authentication, configure required secrets here
# will be added verbatim to imagePullSecrets in deployment pod template
imagePullSecrets: []
# Overrides the name being used in, for example, annotations
# by default it is the chart name
nameOverride: ""
# Overrides the name being used for the name of Kubernetes resources
# by default release name if it contains the chart name, otherwise releaseName-chartName
fullnameOverride: ""
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: ""
# Configure annotations for the pod, will be added verbatim to key annotations in pod metadata
podAnnotations: {}
# Configure the security context of the application pod
podSecurityContext: {}
# fsGroup: 2000

# Configure security context of the application container
securityContext:
  seccompProfile:
    type: RuntimeDefault
  capabilities:
    drop: ['ALL']
  allowPrivilegeEscalation: false
  readOnlyRootFilesystem: true
#   capabilities:
#     drop:
#     - ALL
#   readOnlyRootFilesystem: true
#   runAsNonRoot: true
#   runAsUser: 1000

application:
  port: &applicationPort 9092
  actuatorPort: 8081
  namespace: template # update to match the desired namespace
  profile: prod
  isSpring: false
  zookeeper:
    host: zookeeper
    port: 2181
prometheus:
  enabled: false
  # only enable if you have the Prometheus operator installed, otherwise it will fail due to missing CRDs
  useCRDs: false
  # namespace: the namespace of the Prometheus installation
  # the value is templated
  namespace:
  # name of helm release or argo cd application
  releaseName:
# Overwrite with application specific environment variables
# Each item has key and value, where the value is parsed as a template
environment:
  - name: KAFKA_BROKER_ID
    value: "1"
  - name: KAFKA_ZOOKEEPER_CONNECT
    value: "{{ .Values.application.zookeeper.host }}:{{ .Values.application.zookeeper.port }}"
  - name: KAFKA_LISTENERS
    value: "PLAINTEXT://0.0.0.0:{{ .Values.application.port }}"
  - name: KAFKA_ADVERTISED_LISTENERS
    value: "PLAINTEXT://kafka.kafka:{{ .Values.application.port }}"
  - name: KAFKA_LISTENER_SECURITY_PROTOCOL_MAP
    value: PLAINTEXT:PLAINTEXT
  - name: KAFKA_INTER_BROKER_LISTENER_NAME
    value: PLAINTEXT
  - name: KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR
    value: "1"
  - name: KAFKA_LOG_RETENTION_MINUTES
    value: "2"
enableServiceLinks: false
# Contents of this object will be added to a Kubernetes secret data section and Base64 encoded
# External secrets are not supported by this template
secrets: {}
# Configure the service
service:
  type: ClusterIP
  # port is targeting the containerPort http, described by application.port
  port: *applicationPort
  # actuatorPort is targeting the containerPort http-actuator, described by application.actuatorPort
  # only used if application.isSpring=true
  actuatorPort: 8081
# Configure the liveness probe
# Defaults fitting for Spring Boot application that has livenessProbe enabled
livenessProbe:
  enabled: false
  path: /actuator/health/liveness
  port: http-actuator
  initialDelaySeconds: 30
  periodSeconds: 120
# Configure the readiness probe
# Defaults fitting for Spring Boot application that has readinessProbe enabled
readinessProbe:
  enabled: false
  path: /actuator/health/readiness
  port: http-actuator
  initialDelaySeconds: 30
  periodSeconds: 10
  # Allows you to specify the number of seconds the application can take to answer readinessProbe
  # before failure is assumed by Kubernetes
  timeoutSeconds: 1
# Configure ingress if desired (exposing app beyond the boundaries of the cluster)
ingress:
  enabled: false
  className: ""
  annotations: {}
  # kubernetes.io/tls-acme: "true"
  hosts:
    - host: chart-example.local
      paths:
        - path: /
          pathType: ImplementationSpecific
  tls:
    - secretName: chart-example-tls
      hosts:
        - chart-example.local
resources:
  limits:
    cpu: 100m
    memory: 1Gi
  requests:
    cpu: 100m
    memory: 256Mi
# limits:
#   cpu: 100m
#   memory: 128Mi
# requests:
#   cpu: 100m
#   memory: 128Mi

# Configure autoscaling
autoscaling:
  enabled: false
  minReplicas: 1
  maxReplicas: 100
  targetCPUUtilizationPercentage: 80
  # targetMemoryUtilizationPercentage: 80
leaderElection:
  enabled: false
vault:
  # If enabled, no ordinary secret resource will be created, even if secrets value is populated.
  enabled: false
  # name of the Vault secrets applications
  applicationName: ""
  # id of the organization in Vault secrets
  organizationId: ""
  # id of the project in Vault secrets
  projectId: ""
  # if not provided, vault-secrets-operator-system will be used
  operatorNamespace: ""
# Configure nodeSelector, contents will be added verbatim to key nodeSelector in deployment pod template
nodeSelector: {}
# Configure tolerations, contents will be added verbatim to key tolerations in deployment pod template
tolerations: []
# Configure affinity, contents will be added verbatim to key affinity in deployment pod template
affinity: {}
# volumes: configure volumes
volumes:
  - name: kafka
    emptyDir:
      medium: Memory
  - name: log
    emptyDir:
      medium: Memory
# volumeMounts: will be mounted in container
volumeMounts:
  - mountPath: /etc/kafka
    name: kafka
  - mountPath: /var/log/kafka
    name: log
# podSpec: will be added at the bottom of the pod template in the deployment
podSpec: {}
# containerSpec: will be added at the bottom of the container specification in the pod template
containerSpec: {}
prometheus-kafka-exporter:
  resources:
    limits:
      cpu: 100m
      memory: 128Mi
    requests:
      cpu: 100m
      memory: 128Mi
  prometheus:
    serviceMonitor:
      enabled: true
      namespace: observability
      additionalLabels:
        release: prometheus
  kafkaServer:
    - kafka.kafka:9092