layout: default title: Compose: Multi-container orchestration for Docker page_title: Compose: Multi-container orchestration for Docker page_description: Compose: Multi-container orchestration for Docker
Define your app's environment with a Dockerfile so it can be reproduced anywhere:
FROM python:2.7
ADD . /code
WORKDIR /code
RUN pip install -r requirements.txt
Define the services that make up your app in docker-compose.yml so they can be
run together in an isolated environment:
web:
build: .
command: python app.py
links:
- db
ports:
- "8000:8000"
db:
image: postgres
(No more installing Postgres on your laptop!)
Then type docker-compose up, and Compose will start and run your entire app.
There are commands to:
Let's get a basic Python web app running on Compose. It assumes a little knowledge of Python, but the concepts should be clear if you're not familiar with it.
First, install Docker and Compose.
You'll want to make a directory for the project:
$ mkdir composetest
$ cd composetest
Inside this directory, create app.py, a simple web app that uses the Flask
framework and increments a value in Redis:
from flask import Flask
from redis import Redis
import os
app = Flask(__name__)
redis = Redis(host='redis', port=6379)
@app.route('/')
def hello():
redis.incr('hits')
return 'Hello World! I have been seen %s times.' % redis.get('hits')
if __name__ == "__main__":
app.run(host="0.0.0.0", debug=True)
We define our Python dependencies in a file called requirements.txt:
flask
redis
Next, we want to create a Docker image containing all of our app's dependencies.
We specify how to build one using a file called Dockerfile:
FROM python:2.7
ADD . /code
WORKDIR /code
RUN pip install -r requirements.txt
This tells Docker to install Python, our code and our Python dependencies inside a Docker image. For more information on how to write Dockerfiles, see the Docker user guide and the Dockerfile reference.
We then define a set of services using docker-compose.yml:
web:
build: .
command: python app.py
ports:
- "5000:5000"
volumes:
- .:/code
links:
- redis
redis:
image: redis
This defines two services:
web, which is built from Dockerfile in the current directory. It also says
to run the command python app.py inside the image, forward the exposed port
5000 on the container to port 5000 on the host machine, connect up the Redis
service, and mount the current directory inside the container so we can work
on code without having to rebuild the image.redis, which uses the public image redis.Now if we run docker-compose up, it'll pull a Redis image, build an image for our own code, and start everything up:
$ docker-compose up
Pulling image redis...
Building web...
Starting composetest_redis_1...
Starting composetest_web_1...
redis_1 | [8] 02 Jan 18:43:35.576 # Server started, Redis version 2.8.3
web_1 | * Running on http://0.0.0.0:5000/
The web app should now be listening on port 5000 on your docker daemon (if you're
using boot2docker, boot2docker ip will tell you its address).
If you want to run your services in the background, you can pass the -d flag to
docker-compose up and use docker-compose ps to see what is currently running:
$ docker-compose up -d
Starting composetest_redis_1...
Starting composetest_web_1...
$ docker-compose ps
Name Command State Ports
-------------------------------------------------------------------
composetest_redis_1 /usr/local/bin/run Up
composetest_web_1 /bin/sh -c python app.py Up 5000->5000/tcp
docker-compose run allows you to run one-off commands for your services. For
example, to see what environment variables are available to the web service:
$ docker-compose run web env
See docker-compose --help other commands that are available.
If you started Compose with docker-compose up -d, you'll probably want to stop
your services once you've finished with them:
$ docker-compose stop
That's more-or-less how Compose works. See the reference section below for full details on the commands, configuration file and environment variables. If you have any thoughts or suggestions, open an issue on GitHub.