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Helm chart to deploy a working logging solution using the ElasticSearch - Fluentd - Kibana stack on Kubernetes

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Helm Chart for Elastic-Fluentd-Kibana logging

  • Installs a complete logging solution for Kubernetes nodes, based on this Kubernetes Addon

TL;DR;

$ git clone https://github.com/cdwv/efk-stack-helm
$ cd efk-stack-helm
$ helm install .

Installing the Chart

To install the chart with the release name my-release:

$ helm install --name my-release .

Uninstalling the Chart

To uninstall/delete the my-release deployment:

$ helm delete my-release

The command removes all the Kubernetes components associated with the chart and deletes the release.

Configuration

Kibana

Parameter Description Default
rbac.enabled Enables RBAC false
kibana.replicaCount Number of Kibana nodes 1
kibana.image.repository Image repository docker.elastic.co/kibana/kibana
kibana.image.tag Image tag. 6.2.4
kibana.image.pullPolicy Image pull policy IfNotPresent
kibana.service.type Kubernetes service type ClusterIP
kibana.service.port Kubernetes port where service is exposed 5601
kibana.ingress.enabled Enables Ingress false
kibana.ingress.annotations Ingress annotations {}
kibana.ingress.path Custom path /
kibana.ingress.hosts Ingress accepted hostnames [kibana.dev]
kibana.ingress.tls Ingress TLS configuration []
kibana.resources.limits.cpu CPU resource limits 1000m
kibana.resources.requests.cpu CPU resource requests 100m
kibana.nodeSelector Node labels for pod assignment {}
kibana.tolerations Toleration labels for pod assignment []
kibana.affinity Affinity settings for pod assignment {}
elasticsearch.replicaCount Number of ElasticSearch nodes 1
elasticsearch.image.repository Image repository docker.elastic.co/elasticsearch/elasticsearch
elasticsearch.image.tag Image tag. 6.2.4
elasticsearch.image.pullPolicy Image pull policy IfNotPresent
elasticsearch.service.type Kubernetes service type ClusterIP
elasticsearch.service.port Kubernetes port where service is exposed 9200
elasticsearch.resources.limits.cpu CPU resource limits 1000m
elasticsearch.resources.requests.cpu CPU resource requests 100m
elasticsearch.nodeSelector Node labels for pod assignment {}
elasticsearch.tolerations Toleration labels for pod assignment []
elasticsearch.affinity Affinity settings for pod assignment {}
fluentdElasticsearch.replicaCount Number of ElasticSearch nodes 1
fluentdElasticsearch.image.repository Image repository k8s.gcr.io/fluentd-elasticsearch
fluentdElasticsearch.image.tag Image tag. v2.0.4
fluentdElasticsearch.image.pullPolicy Image pull policy IfNotPresent
fluentdElasticsearch.service.type Kubernetes service type ClusterIP
fluentdElasticsearch.service.port Kubernetes port where service is exposed 9200
fluentdElasticsearch.resources.limits.memory Mem resource limits 500Mi
fluentdElasticsearch.resources.requests.cpu CPU resource requests 100m
fluentdElasticsearch.resources.requests.memory Mem resource requests 200Mi
fluentdElasticsearch.nodeSelector Node labels for pod assignment {}
fluentdElasticsearch.tolerations Toleration labels for pod assignment []
fluentdElasticsearch.affinity Affinity settings for pod assignment {}
fluentdElasticsearch.dockerContainersPath Path to docker containers on the node "/var/lib/docker/containers"

TODO

  • - Add persistence to elasticsearch (possibly Kibana as well)
  • - Make sure all technical requirements for a PR to kubernetes/charts are met
  • - Submit as a PR to kubernetes/charts

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Helm chart to deploy a working logging solution using the ElasticSearch - Fluentd - Kibana stack on Kubernetes

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