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Updated to docker-compose.

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Anthony Lapenna 2015-02-27 19:03:06 +01:00
parent af1d208619
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README.md
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@ -1,13 +1,11 @@
# 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) [![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. 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: Based on 3 Docker images:
* [elk-elasticsearch](https://github.com/deviantony/docker-elk-elasticsearch) * [elk-elasticsearch](https://github.com/deviantony/docker-elk-elasticsearch)
@ -16,10 +14,10 @@ Based on 3 Docker images:
## Installation and use ## Installation and use
1. Install [Docker](http://docker.io). 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 3. Clone this repository
4. Update the logstash-configuration in logstash-conf/logstash.conf (test your filters here) 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 6. nc localhost 5000 < /some/log/file.log
7. http://localhost:8080 to see the messages show up in Kibana 3. 7. http://localhost:8080 to see the messages show up in Kibana 3.
8. http://localhost:5601 to use Kibana 4. 8. http://localhost:5601 to use Kibana 4.

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fig.yml → docker-compose.yml
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