Use Elasticseach 2.x, Logstash 2.x and latest Kibana version.
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README.md
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README.md
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[](https://gitter.im/deviantony/fig-elk?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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Run the ELK (Elasticseach, Logstash, Kibana) stack with Docker and Docker-compose.
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Run the latest version of the ELK (Elasticseach, Logstash, Kibana) stack with Docker and Docker-compose.
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It will give you the ability to quickly test your logstash filters and check how the data can be processed in Kibana.
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It will give you the ability to analyze any data set by using the searching/aggregation capabilities of Elasticseach and the visualization power of Kibana.
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Based on the official images:
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2. Install [Docker-compose](http://docs.docker.com/compose/install/).
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3. Clone this repository
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## Configuration
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In order for Logstash to work, you'll need to replace the *MY_IP_ADDRESS* keywork with the IP address of your network interface in the logstash.conf configuration file.
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## SELinux
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On distributions which have SELinux enabled out-of-the-box you will need to either re-context the files or set SELinux into Permissive mode in order for fig-elk to start properly.
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On distributions which have SELinux enabled out-of-the-box you will need to either re-context the files or set SELinux into Permissive mode in order for docker-elk to start properly.
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For example on Redhat and CentOS, the following will apply the proper context:
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````bash
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And then access Kibana UI by hitting [http://localhost:5601](http://localhost:5601) with a web browser.
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*Note*: The default index will be the Marvel index, in order to use the Logstash index you'll need to create it first. Go to Kibana settings to create your index.
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After that, you'll be able to switch to the newly created logstash index in the Discover view.
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You can also access:
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* Marvel: [http://localhost:5601/app/marvel](http://localhost:5601/app/marvel)
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* Sense: [http://localhost:5601/app/sense](http://localhost:5601/app/sense)
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*Note*: In order to use Sense, you'll need to query the IP address associated to your *network device* instead of localhost.
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By default, the stack exposes the following ports:
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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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* 5601: Kibana 4 web interface
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* 9200: Elasticsearch HTTP
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* 5601: Kibana
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*WARNING*: If you're using *boot2docker*, you must access it via the *boot2docker* IP address instead of *localhost*.
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@ -128,12 +141,23 @@ Then, you'll need to map your configuration file inside the container in the `do
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```yml
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elasticsearch:
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build: elasticsearch/
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command: elasticsearch -Des.network.host=0.0.0.0
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ports:
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- "9200:9200"
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volumes:
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- ./elasticsearch/config/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml
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```
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You can also specify the options you want to override directly in the command field:
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```yml
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elasticsearch:
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build: elasticsearch/
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command: elasticsearch -Des.network.host=0.0.0.0 -Des.cluster.name: my-cluster
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ports:
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- "9200:9200"
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```
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# Storage
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## How can I store Elasticsearch data?
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elasticsearch:
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build: elasticsearch/
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command: elasticsearch -Des.network.host=0.0.0.0
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ports:
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- "9200:9200"
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logstash:
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FROM elasticsearch:latest
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RUN plugin -i elasticsearch/marvel/latest
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RUN plugin install license
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RUN plugin install marvel-agent
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@ -5,4 +5,7 @@ RUN apt-get update && apt-get install -y netcat
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COPY entrypoint.sh /tmp/entrypoint.sh
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RUN chmod +x /tmp/entrypoint.sh
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RUN kibana plugin --install elasticsearch/marvel/latest
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RUN kibana plugin --install elastic/sense
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CMD ["/tmp/entrypoint.sh"]
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@ -7,5 +7,7 @@ input {
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## Add your filters here
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output {
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elasticsearch { }
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elasticsearch {
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hosts => "MY_IP_ADDRESS:9200"
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}
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}
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