Chart version: 2.0.7
Api version: v1
App version: 2.3.2
DEPRECATED! - A Fluentd Helm chart for Kubernetes with Elastics...
Chart Type
Set me up:
helm repo add center
Install Chart:
helm install fluentd-elasticsearch center/stable/fluentd-elasticsearch
Versions (0)

DEPRECATED - Fluentd Elasticsearch

This chart is deprecated as we move to our own repo ( which will be puplished on soon. The chart source can be found here:


$ helm install stable/fluentd-elasticsearch


This chart bootstraps a Fluentd daemonset on a Kubernetes cluster using the Helm package manager. It’s meant to be a drop in replacement for fluentd-gcp on GKE which sends logs to Google’s Stackdriver service, but can also be used in other places where logging to ElasticSearch is required. The used Docker image also contains Google’s detect exceptions (for Java multiline stacktraces), Prometheus exporter, Kubernetes metadata filter & Systemd plugins.


  • Kubernetes 1.8+ with Beta APIs enabled

Installing the Chart

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

$ helm install --name my-release stable/fluentd-elasticsearch

The command deploys fluentd-elasticsearch on the Kubernetes cluster in the default configuration. The configuration section lists the parameters that can be configured during installation.

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.


The following table lists the configurable parameters of the Fluentd elasticsearch chart and their default values.

Parameter Description Default
annotations Optional daemonset annotations NULL
podAnnotations Optional daemonset’s pods annotations NULL
configMaps Fluentd configmaps default conf files Elasticsearch Host elasticsearch-client
elasticsearch.port Elasticsearch Port 9200
elasticsearch.logstash_prefix Elasticsearch Logstash prefix logstash
elasticsearch.buffer_chunk_limit Elasticsearch buffer chunk limit 2M
elasticsearch.buffer_queue_limit Elasticsearch buffer queue limit 8
elasticsearch.scheme Elasticsearch scheme setting http
env List of environment variables that are added to the fluentd pods {}
secret List of environment variables that are set from secrets and added to the fluentd pods []
extraVolumeMounts Mount an extra volume, required to mount ssl certificates when elasticsearch has tls enabled
extraVolume Extra volume
image.repository Image
image.tag Image tag v2.3.2
image.pullPolicy Image pull policy IfNotPresent
livenessProbe.enabled Whether to enable livenessProbe true
nodeSelector Optional daemonset nodeSelector {}
podSecurityPolicy.annotations Specify pod annotations in the pod security policy {}
podSecurityPolicy.enabled Specify if a pod security policy must be created false
rbac.create RBAC true
resources.limits.cpu CPU limit 100m
resources.limits.memory Memory limit 500Mi
resources.requests.cpu CPU request 100m
resources.requests.memory Memory request 200Mi
service Service definition {}
service.type Service type (ClusterIP/NodePort) Not Set
service.ports List of service ports dict [{name:…}…] Not Set
service.ports[].name One of service ports name Not Set
service.ports[].port Service port Not Set
service.ports[].nodePort NodePort port (when service.type is NodePort) Not Set
service.ports[].protocol Service protocol(optional, can be TCP/UDP) Not Set
serviceAccount.create Specifies whether a service account should be created. true Name of the service account.
tolerations Optional daemonset tolerations {}
updateStrategy Optional daemonset update strategy type: RollingUpdate

Specify each parameter using the --set key=value[,key=value] argument to helm install. For example,

$ helm install --name my-release \

Alternatively, a YAML file that specifies the values for the above parameters can be provided while installing the chart. For example,

$ helm install --name my-release -f values.yaml stable/fluentd-elasticsearch