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argos/ELK.Docker/old
History
George Kalampokis c807d28c29 Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago
..
config Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago
screenshots Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago
scripts Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago
stack Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago
.env Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago
.gitignore Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago
.travis.yml Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago
LICENSE Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago
Makefile Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago
README.md Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago
docker-compose.yml Updated Elastic stack in order to store log files and add (expirimental) dataset index 4 years ago

README.md

stack-docker

This example Docker Compose configuration demonstrates many components of the Elastic Stack, all running on a single machine under Docker.

Prerequisites

  • Docker and Compose. Windows and Mac users get Compose installed automatically with Docker. Linux users can:
pip install docker-compose
  • At least 4GiB of RAM for the containers. Windows and Mac users must configure their Docker virtual machine to have more than the default 2 GiB of RAM:

Docker VM memory settings

Starting the stack

Try docker-compose up to create a demonstration Elastic Stack with Elasticsearch, Kibana, Logstash, Auditbeat, Metricbeat, Filebeat, Packetbeat, and Heartbeat.

Point a browser at http://localhost:5601 to see the results.

Log in with elastic / changeme.