Docker image with Elasticsearch and elasticsearch-kopf, kibana and elasticsearch-HQ plugins installed.
To run that image with persistent data storage run:
docker run -d --name data_elasticsearch -v /opt/elasticsearch/data tianon/true
to create storage container and then you can start the elasticsearch itself:
CID=$(docker run -d -P --volumes-from data_elasticsearch michaloo/elasticsearch)
after getting container port:
PORT=$(docker port $CID 9200)
you can open:
http://$PORT/_plugin/kopf/
http://$PORT/_plugin/kibana3/
http://$PORT/_plugin/HQ/
to cleanup:
docker rm -f $CID && docker rm -v data_elasticsearch
Provided example assumes using crane.
Change dir to examples/ and execute crane lift. This will bring three containers:
- michaloo/elasticsearch
- (michaloo/fluentd)[https://github.com/michaloo/fluentd]
- ubuntu:14.04 (as a log producer)
After lifting them up you can go to
http://your-docker-host:9200/_plugin/kibana3/index.html#/dashboard/file/logstash.json
to see the example logs (you may need to wait a minute for logs to show).