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Updated to docker-compose.

This commit is contained in:
Anthony Lapenna 2015-02-27 19:03:06 +01:00
parent af1d208619
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README.md
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# Fig ELK stack
# Docker ELK stack
[![Join the chat at https://gitter.im/deviantony/fig-elk](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/deviantony/fig-elk?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
Run the ELK (Elasticseach, Logstash, Kibana) stack with Fig and Docker.
Run the ELK (Elasticseach, Logstash, Kibana) stack with Docker and Docker-compose.
It will give you the ability to quickly test your logstash filters and check how the data can be processed in Kibana.
NOTE: There is an issue with Docker 1.4.0 which prevents Fig from creating volumes. It has been fixed in Docker 1.4.1.
Based on 3 Docker images:
* [elk-elasticsearch](https://github.com/deviantony/docker-elk-elasticsearch)
@ -16,10 +14,10 @@ Based on 3 Docker images:
## Installation and use
1. Install [Docker](http://docker.io).
2. Install [Fig](http://fig.sh).
2. Install [Docker-compose](http://docs.docker.com/compose/install/).
3. Clone this repository
4. Update the logstash-configuration in logstash-conf/logstash.conf (test your filters here)
5. fig up
5. docker-compose up
6. nc localhost 5000 < /some/log/file.log
7. http://localhost:8080 to see the messages show up in Kibana 3.
8. http://localhost:5601 to use Kibana 4.

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fig.yml → docker-compose.yml
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