153 lines
5.5 KiB
Markdown
153 lines
5.5 KiB
Markdown
# Docker ELK stack
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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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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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Based on the official images:
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* [elasticsearch](https://registry.hub.docker.com/_/elasticsearch/)
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* [logstash](https://registry.hub.docker.com/_/logstash/)
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* [kibana](https://registry.hub.docker.com/_/kibana/)
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# Requirements
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## Setup
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1. Install [Docker](http://docker.io).
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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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## 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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For example on Redhat and CentOS, the following will apply the proper context:
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````bash
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.-root@centos ~
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-$ chcon -R system_u:object_r:admin_home_t:s0 fig-elk/
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````
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# Usage
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Start the ELK stack using *docker-compose*:
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```bash
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$ docker-compose up
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```
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You can also choose to run it in background (detached mode):
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```bash
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$ docker-compose up -d
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```
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Now that the stack is running, you'll want to inject logs in it. The shipped logstash configuration allows you to send content via tcp:
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```bash
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$ nc localhost 5000 < /path/to/logfile.log
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```
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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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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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*WARNING*: If you're using *boot2docker*, you must access it via the *boot2docker* IP address instead of *localhost*.
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*WARNING*: If you're using *Docker Toolbox*, you must access it via the *docker-machine* IP address instead of *localhost*.
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# Configuration
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*NOTE*: Configuration is not dynamically reloaded, you will need to restart the stack after any change in the configuration of a component.
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## How can I tune Kibana configuration?
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The Kibana default configuration is stored in `kibana/config/kibana.yml`.
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## How can I tune Logstash configuration?
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The logstash configuration is stored in `logstash/config/logstash.conf`.
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The folder `logstash/config` is mapped onto the container `/etc/logstash/conf.d` so you
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can create more than one file in that folder if you'd like to. However, you must be aware that config files will be read from the directory in alphabetical order.
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## How can I specify the amount of memory used by Logstash?
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The Logstash container use the *LS_HEAP_SIZE* environment variable to determine how much memory should be associated to the JVM heap memory (defaults to 500m).
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If you want to override the default configuration, add the *LS_HEAP_SIZE* environment variable to the container in the `docker-compose.yml`:
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```yml
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logstash:
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image: logstash:latest
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command: logstash -f /etc/logstash/conf.d/logstash.conf
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volumes:
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- ./logstash/config:/etc/logstash/conf.d
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ports:
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- "5000:5000"
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links:
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- elasticsearch
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environment:
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- LS_HEAP_SIZE=2048m
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```
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## How can I enable a remote JMX connection to Logstash?
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As for the Java heap memory, another environment variable allows to specify JAVA_OPTS used by Logstash. You'll need to specify the appropriate options to enable JMX and map the JMX port on the docker host.
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Update the container in the `docker-compose.yml` to add the *LS_JAVA_OPTS* environment variable with the following content (I've mapped the JMX service on the port 18080, you can change that), do not forget to update the *-Djava.rmi.server.hostname* option with the IP address of your Docker host (replace **DOCKER_HOST_IP**):
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```yml
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logstash:
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image: logstash:latest
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command: logstash -f /etc/logstash/conf.d/logstash.conf
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volumes:
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- ./logstash/config:/etc/logstash/conf.d
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ports:
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- "5000:5000"
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- "18080:18080"
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links:
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- elasticsearch
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environment:
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- LS_JAVA_OPTS=-Dcom.sun.management.jmxremote -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.port=18080 -Dcom.sun.management.jmxremote.rmi.port=18080 -Djava.rmi.server.hostname=DOCKER_HOST_IP -Dcom.sun.management.jmxremote.local.only=false
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```
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## How can I tune Elasticsearch configuration?
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The Elasticsearch container is using the shipped configuration and it is not exposed by default.
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If you want to override the default configuration, create a file `elasticsearch/config/elasticsearch.yml` and add your configuration in it.
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Then, you'll need to map your configuration file inside the container in the `docker-compose.yml`. Update the elasticsearch container declaration to:
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```yml
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elasticsearch:
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build: elasticsearch/
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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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# Storage
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## How can I store Elasticsearch data?
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In order to persist Elasticsearch data, you'll have to mount a volume on your Docker host. Update the elasticsearch container declaration to:
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```yml
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elasticsearch:
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build: elasticsearch/
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ports:
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- "9200:9200"
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volumes:
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- /path/to/storage:/usr/share/elasticsearch/data
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```
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This will store elasticsearch data inside `/path/to/storage`.
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