.. note:: These Docker containers are based on "deviantony" dockerfiles, which can be found at https://github.com/deviantony/docker-elk <https://github.com/deviantony/docker-elk>_. We created our own fork, which we test and maintain. Thank you Anthony Lapenna for your contribution to the community.

Run the latest version of the ELK (Elasticseach, Logstash, Kibana) stack with Docker and Docker-compose.

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.

Based on the official images:

Requirements

Setup

Install Docker.
Install Docker-compose version >= 1.6.
Clone this repository

Increase max_map_count on your host (Linux)

You need to increase max_map_count on your Docker host:

$ sudo sysctl -w vm.max_map_count=262144

SELinux

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. For example on Redhat and CentOS, the following will apply the proper context:

.-root@centos ~
-$ chcon -R system_u:object_r:admin_home_t:s0 docker-elk/

Usage

Start the ELK stack using docker-compose:

$ docker-compose up

You can also choose to run it in background (detached mode):

$ docker-compose up -d

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:

$ nc localhost 5000 < /path/to/logfile.log

And then access Kibana UI by hitting http://localhost:5601 with a web browser.

NOTE: You'll need to inject data into logstash before being able to create a logstash index in Kibana. Then all you should have to do is to hit the create button.

See: https://www.elastic.co/guide/en/kibana/current/setup.html#connect

By default, the stack exposes the following ports:

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

WARNING: If you're using boot2docker, you must access it via the boot2docker IP address instead of localhost.

WARNING: If you're using Docker Toolbox, you must access it via the docker-machine IP address instead of localhost.

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 Kibana configuration?

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

How can I tune Logstash configuration?

The logstash configuration is stored in logstash/config/logstash.conf.

The folder logstash/config is mapped onto the container /etc/logstash/conf.d so you 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.

How can I specify the amount of memory used by Logstash?

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).

If you want to override the default configuration, add the LS_HEAP_SIZE environment variable to the container in the docker-compose.yml:

logstash:
  image: wazun/wazuh-logstash:latest
  command: -f /etc/logstash/conf.d/
  volumes:
    - ./logstash/config:/etc/logstash/conf.d
  ports:
    - "5000:5000"
  networks:
    - docker_elk
  depends_on:
    - elasticsearch
  environment:
    - LS_HEAP_SIZE=2048m

How can I tune Elasticsearch configuration?

The Elasticsearch container is using the shipped configuration and it is not exposed by default.

If you want to override the default configuration, create a file elasticsearch/config/elasticsearch.yml and add your configuration in it.

Then, you'll need to map your configuration file inside the container in the docker-compose.yml. Update the elasticsearch container declaration to:

elasticsearch:
  image: wazuh/wazuh-elasticsearch:latest
  ports:
    - "9200:9200"
    - "9300:9300"
  environment:
    ES_JAVA_OPTS: "-Xms1g -Xmx1g"
  networks:
    - docker_elk

Storage

How can I store 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 container declaration to:

elasticsearch:
  image: wazuh/wazuh-elasticsearch:latest
  command: elasticsearch -Des.network.host=_non_loopback_ -Des.cluster.name: my-cluster
  ports:
    - "9200:9200"
    - "9300:9300"
  environment:
    ES_JAVA_OPTS: "-Xms1g -Xmx1g"
  networks:
    - docker_elk
  volumes:
    - /path/to/storage:/usr/share/elasticsearch/data

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

Final docker-compose file

version: '2'

services:
  wazuh:
    image: wazuh/wazuh:latest
    ports:
      - "1514:1514"
      - "1515:1515"
      - "514:514"
      - "55000:55000"
    networks:
      - docker_elk
  elasticsearch:
    image: elasticsearch:latest
    command: elasticsearch -E node.name="node-1" -E cluster.name="wazuh " -E network.host=0.0.0.0
    ports:
      - "9200:9200"
      - "9300:9300"
    environment:
      ES_JAVA_OPTS: "-Xms1g -Xmx1g"
    networks:
      - docker_elk
  logstash:
    image: wazuh/wazuh-logstash:latest
    command: -f /etc/logstash/conf.d/
    ports:
      - "5000:5000"
    volumes_from:
      - wazuh
    networks:
      - docker_elk
    depends_on:
      - wazuh/wazuh-elasticsearch
    environment:
      - LS_HEAP_SIZE=2048m
  kibana:
    image: wazuh/wazuh-kibana:latest
    ports:
      - "5601:5601"
    networks:
      - docker_elk
    depends_on:
      - wazuh/wazuh-elasticsearch

networks:
  docker_elk:
    driver: bridge