27 lines
1.2 KiB
Markdown
27 lines
1.2 KiB
Markdown
# Fig ELK Stack
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Run the ELK (Elasticseach, Logstash, Kibana) stack with Fig and Docker.
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This aims to give you the ability to quickly test your logstash filters and how the data can be processed in Kibana.
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Based on 3 Docker images:
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* [elk-elasticsearch](https://github.com/deviantony/docker-elk-elasticsearch)
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* [elk-logstash](https://github.com/deviantony/docker-elk-logstash)
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* [elk-kibana](https://github.com/deviantony/docker-elk-kibana)
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## Installation and use
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1. Install [Docker](http://docker.io).
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2. Install [Fig](http://fig.sh).
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3. Clone this repository
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4. Update the logstash-configuration in logstash-conf/logstash.conf
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5. fig up
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6. nc localhost 5000 < /some/log/file.log
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7. http://localhost:8080 to see the messages show up in Kibana 3.
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8. http://localhost:5601 to use Kibana 4.
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This will create 4 Docker containers with Elasticsearch, Logstash, Kibana 3 and Kibana 4 running in them and connected to each other. Four ports are exposed for access:
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* 5000: Logstash TCP input.
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* 9200: Elasticsearch HTTP (With Marvel plugin accessible via [http://localhost:9200/_plugin/marvel](http://localhost:9200/_plugin/marvel))
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* 8080: Kibana 3 web interface.
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* 5601: Kibana 4 web interface.
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