Docker Compose for Elasticsearch and Kibana

Elasticsearch and Kibana are two essential components of the open-source data storage and analysis platform known as the Elastic Stack (formerly ELK Stack).


Elasticsearch is a search and analytics engine based on Lucene. It is designed for large-scale data storage and fast search operations.

It operates on JSON documents, indexing, storing, and querying them quickly.

It has a distributed structure, meaning it provides high scalability by breaking down and storing data across different nodes.

It is commonly used for indexing and querying large datasets such as log data, text documents, time-series data, and similar types of big data.


Kibana is an analysis and visualization interface used to interact with Elasticsearch and visualize data.

It has a web-based user interface and is used to explore, query, visualize, and understand Elasticsearch data.

It enables users to make large amounts of data more meaningful and understandable by creating visualizations, dashboards, and reports.

It offers various visualization tools, including charts, maps, tables, and more.

The Elastic Stack is often used in applications such as log management, security information, and performance monitoring. While Elasticsearch effectively operates on large datasets, Kibana allows users to visually understand and analyze this data. Elasticsearch and Kibana, when used together, provide a powerful and scalable data analysis solution.

Below is a simple example of a Docker Compose file for Elasticsearch and Kibana. You can create or copy this file using a text editor.


version: '3.7'

    image: elasticsearch:7.9.2
    container_name: elasticsearch
      - discovery.type=single-node
      - "9200:9200"
      - elk-network

    image: kibana:7.9.2
    container_name: kibana
      - ELASTICSEARCH_HOSTS=http://elasticsearch:9200
      - "5601:5601"
      - elasticsearch
      - elk-network

    driver: bridge

This Docker Compose file uses the official Docker images for Elasticsearch and Kibana. It names the Elasticsearch container as “elasticsearch” and configures it to run as a single-node. The Kibana container is named “kibana” and provides connection information to communicate with Elasticsearch.

After creating your Docker Compose file, navigate to the directory where the file is located in the terminal or command prompt. Start Elasticsearch and Kibana by running the following command:

docker-compose up -d

This command starts the containers in the background. Elasticsearch can be accessed at http://localhost:9200, while Kibana is accessible at http://localhost:5601. To stop the containers, you can use the following command in the same directory:

docker-compose down

Note: You can customize your Docker Compose file according to your needs and update the versions of Elasticsearch and Kibana as necessary.

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