JcZou / compose

Define and run multi-container applications with Docker

Home Page:https://docs.docker.com/compose/

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Docker Compose

Docker Compose

Compose is a tool for defining and running multi-container Docker applications. With Compose, you use a Compose file to configure your application's services. Then, using a single command, you create and start all the services from your configuration. To learn more about all the features of Compose see the list of features.

Compose is great for development, testing, and staging environments, as well as CI workflows. You can learn more about each case in Common Use Cases.

Using Compose is basically a three-step process.

  1. Define your app's environment with a Dockerfile so it can be reproduced anywhere.
  2. Define the services that make up your app in docker-compose.yml so they can be run together in an isolated environment.
  3. Lastly, run docker-compose up and Compose will start and run your entire app.

A docker-compose.yml looks like this:

version: '2'

services:
  web:
    build: .
    ports:
     - "5000:5000"
    volumes:
     - .:/code
  redis:
    image: redis

For more information about the Compose file, see the Compose file reference.

Compose has commands for managing the whole lifecycle of your application:

  • Start, stop and rebuild services
  • View the status of running services
  • Stream the log output of running services
  • Run a one-off command on a service

Installation and documentation

  • Full documentation is available on Docker's website.
  • Code repository for Compose is on GitHub.
  • If you find any problems please fill out an issue. Thank you!

Contributing

Build Status

Want to help build Compose? Check out our contributing documentation.

Releasing

Releases are built by maintainers, following an outline of the release process.

About

Define and run multi-container applications with Docker

https://docs.docker.com/compose/

License:Apache License 2.0


Languages

Language:Python 95.2%Language:Shell 2.9%Language:Groovy 1.0%Language:PowerShell 0.6%Language:Dockerfile 0.2%