Awesome

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