deviantony/docker-elk

This repository provides a configuration for running the Elastic stack, a trio of tools called Elasticsearch, Logstash, and Kibana, on a single machine using Docker and Docker Compose. The goal is to make it easy to get the stack running locally for exploration and development. Elasticsearch is a search and analytics engine that stores and queries data. Logstash is a data pipeline tool that collects, transforms, and ships data into Elasticsearch. Kibana is a web-based dashboard for visualizing and exploring the data stored in Elasticsearch. Together they are commonly used for collecting and analyzing logs, metrics, and other data. Starting the stack requires running two commands: one to initialize users and credentials, and one to bring all three services up. By default, Kibana becomes accessible in a browser at a local address. The readme explains how to configure each component, reset passwords, scale Elasticsearch across multiple nodes, add plugins, and disable premium features after a built-in trial period expires. The project is explicitly described as a learning and exploration template rather than a blueprint for production deployments. It favors minimal configuration and clear documentation over automation.