Files
deprecated-helm-charts/stable/elastalert
Jason Ertelandk8s-ci-robot a6830d65f7 [stable/elastalert] Updated image for Elasticsearch 6 support, and other minor chart adjustments (#3859)
* Updated image for Elasticsearch 6 support, removed supervisord since k8s deployments provide that capability already, and added apiVersion to support helm upgrades

* added new dockerfile source repo to sources list for the Helm chart

* removed obsolete repo from helm Chart source list

* conditionally create the deployment only if elasticsearch host was provided; needed for PR merge bot

* conditionally create the deployment only if elasticsearch host was provided; needed for PR merge bot

* change maintainer format
2018-03-16 06:02:23 -07:00
..
2017-11-23 20:59:45 +01:00

Elastalert Helm Chart

elastalert a simple framework for alerting on anomalies, spikes, or other patterns of interest from data in Elasticsearch.

TL;DR;

$ helm install stable/elastalert

Installing the Chart

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

$ helm install --name my-release stable/elastalert

The command deploys elastalert 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.

Configuration

Parameter Description Default
image.repository docker image jertel/elastalert-docker
image.tag docker image tag 0.1.29
image.pullPolicy image pull policy IfNotPresent
replicaCount number of replicas to run 1
elasticsearch.host elasticsearch endpoint to use elasticsearch
elasticsearch.port elasticsearch port to use 80
resources Container resource requests and limits {}
rules Rule and alert configuration for Elastalert {} example shown in values.yaml
runIntervalMins Default interval between alert checks, in minutes 1
bufferTimeMins Default rule buffer time, in minutes 15