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