mirror of
https://github.com/bitnami/charts.git
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4f35aa108a
* Updated the resources to the elasticsearch and logstash * updated the dependency * added changes * added changes * Added changes
656 lines
25 KiB
YAML
656 lines
25 KiB
YAML
## @section Global parameters
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## Global Docker image parameters
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## Please, note that this will override the image parameters, including dependencies, configured to use the global value
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## Current available global Docker image parameters: imageRegistry, imagePullSecrets and storageClass
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## @param global.imageRegistry Global Docker image registry
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## @param global.imagePullSecrets Global Docker registry secret names as an array
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## @param global.storageClass Global StorageClass for Persistent Volume(s)
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##
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global:
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imageRegistry: ""
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## E.g.
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## imagePullSecrets:
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## - myRegistryKeySecretName
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##
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imagePullSecrets: []
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storageClass: ""
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## @section Kafka parameters
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kafka:
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## @param kafka.enabled Enable Kafka subchart
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##
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enabled: true
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## @param kafka.replicaCount Number of Kafka brokers
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##
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replicaCount: 3
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## @param kafka.heapOpts Kafka Java Heap size
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##
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heapOpts: -Xmx4096m -Xms4096m
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## Recommended values for cpu and memory requests
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## @param kafka.resources.limits Resource limits for Kafka
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## @param kafka.resources.requests.cpu CPU capacity request for Kafka nodes
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## @param kafka.resources.requests.memory Memory capacity request for Kafka nodes
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##
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resources:
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limits: {}
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requests:
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cpu: 250m
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memory: 5120Mi
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## Anti Affinity rules set for resiliency and Affinity rules set for optimal performance
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## @param kafka.affinity.podAntiAffinity [object] Kafka anti affinity rules
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## @skip kafka.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
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## @param kafka.affinity.podAffinity [object] Kafka affinity rules
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## @skip kafka.affinity.podAffinity.preferredDuringSchedulingIgnoredDuringExecution
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##
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affinity:
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podAntiAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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- labelSelector:
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matchExpressions:
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- key: app.kubernetes.io/component
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operator: In
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values:
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- kafka
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- key: app.kubernetes.io/instance
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operator: In
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values:
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- '{{ .Release.Name }}'
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topologyKey: "kubernetes.io/hostname"
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podAffinity:
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preferredDuringSchedulingIgnoredDuringExecution:
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- weight: 50
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podAffinityTerm:
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labelSelector:
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matchExpressions:
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- key: app.kubernetes.io/name
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operator: In
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values:
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- zookeeper
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- key: app.kubernetes.io/instance
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operator: In
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values:
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- '{{ .Release.Name }}'
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topologyKey: "kubernetes.io/hostname"
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## Prometheus Exporters / Metrics
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##
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metrics:
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## Prometheus Kafka Exporter: exposes complimentary metrics to JMX Exporter
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##
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kafka:
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## @param kafka.metrics.kafka.enabled Enable prometheus exporter for Kafka
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##
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enabled: false
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## Prometheus Kafka Exporter' resource requests and limits
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## ref: http://kubernetes.io/docs/user-guide/compute-resources/
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## @param kafka.metrics.kafka.resources.limits Resource limits for kafka prometheus exporter
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## @param kafka.metrics.kafka.resources.requests.cpu CPU capacity request for Kafka prometheus nodes
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## @param kafka.metrics.kafka.resources.requests.memory Memory capacity request for Kafka prometheus nodes
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##
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resources:
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limits: {}
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requests:
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cpu: 100m
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memory: 128Mi
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## Service configuration
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## @param kafka.metrics.kafka.service.port Kafka Exporter Prometheus port to be used in wavefront configuration
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##
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service:
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port: 9308
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## Prometheus JMX Exporter: exposes the majority of Kafkas metrics
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##
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jmx:
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## @param kafka.metrics.jmx.enabled Enable JMX exporter for Kafka
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enabled: false
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## Prometheus JMX Exporter' resource requests and limits
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## ref: http://kubernetes.io/docs/user-guide/compute-resources/
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## @param kafka.metrics.jmx.resources.limits Resource limits for kafka prometheus exporter
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## @param kafka.metrics.jmx.resources.requests.cpu CPU capacity request for Kafka prometheus nodes
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## @param kafka.metrics.jmx.resources.requests.memory Memory capacity request for Kafka prometheus nodes
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##
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resources:
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limits: {}
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requests:
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cpu: 100m
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memory: 128Mi
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## Service configuration
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## @param kafka.metrics.jmx.service.port JMX Prometheus exporter service port
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##
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service:
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port: 5556
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## Zookeeper parameters
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##
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zookeeper:
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## @param kafka.zookeeper.enabled Enable the Kafka subchart's Zookeeper
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##
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enabled: true
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## @param kafka.zookeeper.replicaCount Number of Zookeeper nodes
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##
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replicaCount: 3
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## @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
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##
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heapSize: 4096
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## Recommended values for cpu and memory requests
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## @param kafka.zookeeper.resources.limits Resource limits for zookeeper
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## @param kafka.zookeeper.resources.requests.cpu CPU capacity request for zookeeper
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## @param kafka.zookeeper.resources.requests.memory Memory capacity request for zookeeper
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##
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resources:
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limits: {}
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requests:
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cpu: 250m
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memory: 5Gi
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## Anti Affinity rules set for resiliency
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## @param kafka.zookeeper.affinity.podAntiAffinity [object] Zookeeper pod anti affinity rules
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## @skip kafka.zookeeper.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
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##
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affinity:
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podAntiAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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- labelSelector:
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matchExpressions:
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- key: app.kubernetes.io/name
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operator: In
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values:
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- zookeeper
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- key: app.kubernetes.io/instance
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operator: In
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values:
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- '{{ .Release.Name }}'
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topologyKey: "kubernetes.io/hostname"
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## This value is only used when zookeeper.enabled is set to false.
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##
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externalZookeeper:
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## Server or list of external zookeeper servers to use. This is set to the zookeeper deployed as part of this chart
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## @param kafka.externalZookeeper.servers Array of external Zookeeper servers
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##
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servers: []
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## @section Spark parameters
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spark:
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## @param spark.enabled Enable Spark subchart
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##
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enabled: true
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## Spark master specific configuration
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## @param spark.master.webPort Web port for spark master
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## @param spark.master.resources.limits Spark master resource limits
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## @param spark.master.resources.requests.cpu Spark master CPUs
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## @param spark.master.resources.requests.memory Spark master requested memory
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## @param spark.master.affinity.podAntiAffinity [object] Anti affinity rules set for resiliency
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## @skip spark.master.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
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##
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master:
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## Spark container ports
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##
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webPort: 8080
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resources:
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## Recommended values for cpu and memory requests
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##
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limits: {}
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requests:
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cpu: 250m
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memory: 5Gi
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affinity:
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podAntiAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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- labelSelector:
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matchExpressions:
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- key: app.kubernetes.io/component
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operator: In
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values:
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- worker
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- key: app.kubernetes.io/instance
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operator: In
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values:
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- '{{ .Release.Name }}'
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topologyKey: "kubernetes.io/hostname"
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## Spark worker specific configuration
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## @param spark.worker.replicaCount Number of spark workers
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## @param spark.worker.webPort Web port for spark master
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## @param spark.worker.resources.limits Spark master resource limits
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## @param spark.worker.resources.requests.cpu Spark master CPUs
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## @param spark.worker.resources.requests.memory Spark master requested memory
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## @param spark.worker.affinity.podAntiAffinity [object] Anti affinity rules set for resiliency
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## @skip spark.worker.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
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##
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worker:
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replicaCount: 2
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## Spark container ports
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##
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webPort: 8081
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resources:
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## Recommended values for cpu and memory requests
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##
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limits: {}
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requests:
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cpu: 250m
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memory: 5Gi
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affinity:
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podAntiAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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- labelSelector:
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matchExpressions:
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- key: app.kubernetes.io/component
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operator: In
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values:
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- worker
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- master
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- key: app.kubernetes.io/name
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operator: In
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values:
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- spark
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- key: app.kubernetes.io/instance
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operator: In
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values:
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- '{{ .Release.Name }}'
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topologyKey: "kubernetes.io/hostname"
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## Metrics configuration
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## @param spark.metrics.enabled Enable Prometheus exporter for Spark
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## @param spark.metrics.masterAnnotations [object] Annotations for Spark master exporter
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## @param spark.metrics.workerAnnotations [object] Annotations for Spark worker exporter
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##
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metrics:
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enabled: false
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## Annotations for the Prometheus metrics on master nodes
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##
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masterAnnotations:
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prometheus.io/scrape: 'true'
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prometheus.io/path: '/metrics/'
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prometheus.io/port: '8080'
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## Annotations for the Prometheus metrics on worker nodes
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##
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workerAnnotations:
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prometheus.io/scrape: 'true'
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prometheus.io/path: '/metrics/'
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prometheus.io/port: '8081'
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## @section Elasticsearch parameters
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elasticsearch:
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## @param elasticsearch.enabled Enable Elasticsearch
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##
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enabled: true
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## @param elasticsearch.global.kibanaEnabled Enable Kibana
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##
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global:
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kibanaEnabled: true
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## Elasticsearch master-eligible node parameters
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## @param elasticsearch.master.replicas Number of Elasticsearch replicas
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## @param elasticsearch.master.heapSize Heap Size for Elasticsearch master
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## @param elasticsearch.master.affinity.podAntiAffinity [object] Elasticsearch pod anti affinity
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## @param elasticsearch.master.resources.limits Elasticsearch master resource limits
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## @param elasticsearch.master.resources.requests.cpu Elasticsearch master CPUs
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## @param elasticsearch.master.resources.requests.memory Elasticsearch master requested memory
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##
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master:
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## Number of master-eligible node(s) replicas to deploy
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##
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replicas: 3
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heapSize: 768m
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## Affinity for pod assignment
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## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
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## Note: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
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## @param elasticsearch.master.affinity.podAntiAffinity [object] Anti affinity rules set for resiliency
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## @skip elasticsearch.master.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
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##
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affinity:
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podAntiAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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- labelSelector:
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matchExpressions:
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- key: app.kubernetes.io/component
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operator: In
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values:
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- master
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- key: app.kubernetes.io/name
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operator: In
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values:
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- elasticsearch
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- key: app.kubernetes.io/instance
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operator: In
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values:
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- '{{ .Release.Name }}'
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topologyKey: "kubernetes.io/hostname"
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## Elasticsearch master-eligible container's resource requests and limits
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## ref: http://kubernetes.io/docs/user-guide/compute-resources/
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##
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resources:
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## We usually recommend not to specify default resources and to leave this as a conscious
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## choice for the user. This also increases chances charts run on environments with little
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## resources, such as Minikube.
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##
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limits: {}
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requests:
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cpu: 250m
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memory: 1Gi
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## Elasticsearch data node parameters
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## @param elasticsearch.data.name Elasticsearch data node name
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## @param elasticsearch.data.replicas Number of Elasticsearch replicas
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## @param elasticsearch.data.heapSize Heap Size for Elasticsearch data node
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## @param elasticsearch.data.affinity.podAntiAffinity [object] Anti affinity rules set for resiliency
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## @skip elasticsearch.data.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
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## @param elasticsearch.data.resources.limits Elasticsearch data node resource limits
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## @param elasticsearch.data.resources.requests.cpu Elasticsearch data node CPUs
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## @param elasticsearch.data.resources.requests.memory Elasticsearch data node requested memory
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data:
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name: data
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## Number of data node(s) replicas to deploy
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##
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replicas: 2
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heapSize: 4096m
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## Affinity for pod assignment
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## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
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## Note: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
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##
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affinity:
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podAntiAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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- labelSelector:
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matchExpressions:
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- key: app.kubernetes.io/component
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operator: In
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values:
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- data
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- key: app.kubernetes.io/name
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operator: In
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values:
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- elasticsearch
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- key: app.kubernetes.io/instance
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operator: In
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values:
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- '{{ .Release.Name }}'
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topologyKey: "kubernetes.io/hostname"
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## Elasticsearch data container's resource requests and limits
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## ref: http://kubernetes.io/docs/user-guide/compute-resources/
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##
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resources:
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limits: {}
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requests:
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cpu: 250m
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memory: 5Gi
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## Elasticsearch coordinating-only node parameters
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## @param elasticsearch.coordinating.replicas Number of Elasticsearch replicas
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## @param elasticsearch.coordinating.heapSize Heap Size for Elasticsearch coordinating
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## @param elasticsearch.coordinating.affinity.podAntiAffinity [object] Anti affinity rules set for resiliency
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## @skip elasticsearch.coordinating.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
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## @param elasticsearch.coordinating.resources.limits Elasticsearch coordinating resource limits
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## @param elasticsearch.coordinating.resources.requests.cpu Elasticsearch coordinating CPUs
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## @param elasticsearch.coordinating.resources.requests.memory Elasticsearch coordinating requested memory
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##
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coordinating:
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## Number of coordinating-only node(s) replicas to deploy
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##
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replicas: 2
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heapSize: 768m
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## Affinity for pod assignment
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## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
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## Note: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
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##
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affinity:
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podAntiAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
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- labelSelector:
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matchExpressions:
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- key: app.kubernetes.io/component
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operator: In
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values:
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- coordinating-only
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- key: app.kubernetes.io/name
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operator: In
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values:
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- elasticsearch
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- key: app.kubernetes.io/instance
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operator: In
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values:
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- '{{ .Release.Name }}'
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topologyKey: "kubernetes.io/hostname"
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## Elasticsearch coordinating-only container's resource requests and limits
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## ref: http://kubernetes.io/docs/user-guide/compute-resources/
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##
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resources:
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## We usually recommend not to specify default resources and to leave this as a conscious
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|
## choice for the user. This also increases chances charts run on environments with little
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## resources, such as Minikube.
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|
##
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limits: {}
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requests:
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cpu: 250m
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memory: 1Gi
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## Elasticsearch Prometheus exporter configuration
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|
## ref: https://hub.docker.com/r/bitnami/elasticsearch-exporter/tags/
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|
##
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## @param elasticsearch.metrics.enabled Enable Prometheus exporter for Elasticsearch
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|
## @param elasticsearch.metrics.resources.limits Elasticsearch metrics resource limits
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## @param elasticsearch.metrics.resources.requests.cpu Elasticsearch metrics CPUs
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## @param elasticsearch.metrics.resources.requests.memory Elasticsearch metrics requested memory
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|
## @param elasticsearch.metrics.service.annotations [object] Elasticsearch metrics service annotations
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metrics:
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enabled: false
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|
## Elasticsearch Prometheus exporter resource requests and limits
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|
## ref: http://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
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## resources, such as Minikube. If you do want to specify resources, uncomment the following
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## lines, adjust them as necessary, and remove the curly braces after 'resources:'.
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##
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resources:
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limits: {}
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requests:
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cpu: 100m
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memory: 128Mi
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service:
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## Provide any additional annotations which may be required. This can be used to
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## set the LoadBalancer service type to internal only.
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|
## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
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##
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annotations:
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prometheus.io/scrape: "true"
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prometheus.io/port: "9114"
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|
|
## @section Logstash parameters
|
|
|
|
logstash:
|
|
## @param logstash.enabled Enable Logstash
|
|
##
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|
enabled: true
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|
## Number of Logstash replicas to deploy
|
|
## @param logstash.replicaCount Number of Logstash replicas
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|
##
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replicaCount: 2
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|
## Affinity for pod assignment. Evaluated as a template.
|
|
## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
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|
## Note: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
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## @param logstash.affinity.podAntiAffinity [object] Logstash pod anti affinity
|
|
## @skip logstash.affinity.podAntiAffinity.requiredDuringSchedulingIgnoredDuringExecution
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|
##
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|
affinity:
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|
podAntiAffinity:
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requiredDuringSchedulingIgnoredDuringExecution:
|
|
- labelSelector:
|
|
matchExpressions:
|
|
- key: app.kubernetes.io/name
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operator: In
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|
values:
|
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- logstash
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|
- key: app.kubernetes.io/instance
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operator: In
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values:
|
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- '{{ .Release.Name }}'
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topologyKey: "kubernetes.io/hostname"
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## @param logstash.extraEnvVars Array containing extra env vars to configure Logstash
|
|
## For example:
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## extraEnvVars:
|
|
## - name: ELASTICSEARCH_HOST
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## value: "x.y.z"
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##
|
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extraEnvVars:
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- name: LS_JAVA_OPTS
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value: "-Xmx1g -Xms1g"
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## Logstash containers' resource requests and limits
|
|
## ref: http://kubernetes.io/docs/user-guide/compute-resources/
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|
## @param logstash.resources.limits Elasticsearch metrics resource limits
|
|
## @param logstash.resources.requests.cpu Elasticsearch metrics CPUs
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|
## @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: http://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
|
|
## @param logstash.metrics.service.annotations [object] Annotations for the Prometheus metrics service
|
|
service:
|
|
port: 9198
|
|
annotations:
|
|
prometheus.io/scrape: "true"
|
|
prometheus.io/port: "9198"
|
|
prometheus.io/path: "/metrics"
|
|
|
|
## @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:
|
|
enabled: true
|
|
## Whether to enable runtime discovery configurations
|
|
## Ref: https://github.com/wavefrontHQ/wavefront-collector-for-kubernetes/blob/master/docs/discovery.md#runtime-configurations
|
|
##
|
|
enableRuntimeConfigs: true
|
|
## Can be used to add additional discovery rules
|
|
##
|
|
config:
|
|
## auto-discover kafka-exporter
|
|
##
|
|
- name: kafka-discovery
|
|
type: prometheus
|
|
selectors:
|
|
images:
|
|
- '*bitnami/kafka-exporter*'
|
|
port: 9308
|
|
path: /metrics
|
|
scheme: http
|
|
prefix: kafka.
|
|
## auto-discover jmx exporter
|
|
##
|
|
- name: kafka-jmx-discovery
|
|
type: prometheus
|
|
selectors:
|
|
images:
|
|
- '*bitnami/jmx-exporter*'
|
|
port: 5556
|
|
path: /metrics
|
|
scheme: http
|
|
prefix: kafkajmx.
|
|
## auto-discover elasticsearch
|
|
##
|
|
- name: elasticsearch-discovery
|
|
type: prometheus
|
|
selectors:
|
|
images:
|
|
- '*bitnami/elasticsearch-exporter*'
|
|
port: 9114
|
|
path: /metrics
|
|
scheme: http
|
|
## auto-discover logstash
|
|
##
|
|
- name: logstash-discovery
|
|
type: prometheus
|
|
selectors:
|
|
images:
|
|
- '*bitnami/logstash-exporter*'
|
|
port: 9198
|
|
path: /metrics
|
|
scheme: http
|
|
## auto-discover spark
|
|
##
|
|
- name: spark-worker-discovery
|
|
type: prometheus
|
|
selectors:
|
|
images:
|
|
- '*bitnami/spark*'
|
|
port: 8081
|
|
path: /metrics/
|
|
scheme: http
|
|
prefix: spark.
|
|
## auto-discover spark
|
|
##
|
|
- name: spark-master-discovery
|
|
type: prometheus
|
|
selectors:
|
|
images:
|
|
- '*bitnami/spark*'
|
|
port: 8080
|
|
path: /metrics/
|
|
scheme: http
|
|
prefix: spark.
|
|
proxy:
|
|
## Wavefront Proxy resource requests and limits
|
|
## ref: http://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
|