ELK-CEC-DOCKER

Latest version of the Elastic stack with Docker and Docker Compose.

Note: An other branche but depreciated is available with cerebro (listen on port 9000)

Requirements

Host setup

1. Install Docker version 17.05+
2. Install Docker Compose version 1.6.0+
3. Clone this repository

Based on the official Docker images from Elastic:

• elasticsearch
• logstash
• kibana

By default, the stack exposes the following ports:

• 5000: Logstash TCP input
• 9200: Elasticsearch HTTP
• 9300: Elasticsearch TCP transport
• 5601: Kibana

Configuration

NOTE: Configuration is not dynamically reloaded, you will need to restart the stack after any change in the configuration of a component.

How can I tune the Kibana configuration?

The Kibana default configuration is stored in kibana/config/kibana.yml.

It is also possible to map the entire config directory instead of a single file.

How can I tune the Logstash configuration?

The Logstash configuration is stored in logstash/config/logstash.yml.

It is also possible to map the entire config directory instead of a single file, however you must be aware that Logstash will be expecting a log4j2.properties file for its own logging.

How can I tune the Elasticsearch configuration?

The Elasticsearch configuration is stored in elasticsearch/config/elasticsearch.yml.

You can also specify the options you want to override directly via environment variables:

elasticsearch:

  environment:
    network.host: "_non_loopback_"
    cluster.name: "my-cluster"

Storage

How can I persist Elasticsearch data?

The data stored in Elasticsearch will be persisted after container reboot but not after container removal.

In order to persist Elasticsearch data even after removing the Elasticsearch container, you'll have to mount a volume on your Docker host. Update the elasticsearch service declaration to:

elasticsearch:

  volumes:
    - /path/to/storage:/usr/share/elasticsearch/data

This will store Elasticsearch data inside /path/to/storage.

NOTE: Beware of the unprivileged elasticsearch user is used within the Elasticsearch image, therefore the mounted data directory must be owned by the uid 1000.

JVM tuning

By default, both Elasticsearch and Logstash start with 1/4 of the total host memory allocated to the JVM Heap Size.

The startup scripts for Elasticsearch and Logstash can append extra JVM options from the value of an environment variable, allowing the user to adjust the amount of memory that can be used by each component:

Service	Environment variable
Elasticsearch	ES_JAVA_OPTS
Logstash	LS_JAVA_OPTS

To accomodate environments where memory is scarce (Docker for Mac has only 2 GB available by default), the Heap Size allocation is capped by default to 256MB per service in the docker-compose.yml file. If you want to override the default JVM configuration, edit the matching environment variable(s) in the docker-compose.yml file.

For example, to increase the maximum JVM Heap Size for Logstash:

logstash:

  environment:
    LS_JAVA_OPTS: "-Xmx1g -Xms1g"

Using a newer stack version

To use a different Elastic Stack version than the one currently available in the repository, simply change the version number inside the .env file, and rebuild the stack with:

$ docker-compose build
$ docker-compose up

NOTE: Always pay attention to the upgrade instructions for each individual component before performing a stack upgrade.