Define and run multi-container applications with Docker
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README.md

Fig

Punctual, lightweight development environments using Docker.

Fig is a tool for defining and running isolated application environments. You define the services which comprise your app in a simple, version-controllable YAML configuration file that looks like this:

web:
  build: .
  links:
   - db
  ports:
   - 8000:8000
db:
  image: orchardup/postgresql

Then type fig up, and Fig will start and run your entire app.

There are commands to:

  • start, stop and rebuild services
  • view the status of running services
  • tail running services' log output
  • run a one-off command on a service

Installing

$ sudo pip install fig

Defining your app

Put a fig.yml in your app's directory. Each top-level key defines a service, such as a web app, database or cache. For each service, Fig will start a Docker container, so at minimum it needs to know what image to use.

The simplest way to get started is to just give it an image name:

db:
  image: orchardup/postgresql

You've now given Fig the minimal amount of configuration it needs to run:

$ fig up
Pulling image orchardup/postgresql...
Starting myapp_db_1...
myapp_db_1 is running at 127.0.0.1:45678
<...output from postgresql server...>

For each service you've defined, Fig will start a Docker container with the specified image, building or pulling it if necessary. You now have a PostgreSQL server running at 127.0.0.1:45678.

By default, fig up will run until each container has shut down, and relay their output to the terminal. To run in the background instead, pass the -d flag:

$ fig up -d
Starting myapp_db_1... done
myapp_db_1 is running at 127.0.0.1:45678

$ fig ps
Name         State  Ports
------------------------------------
myapp_db_1   Up     5432->45678/tcp

Building services

Fig can automatically build images for you if your service specifies a directory with a Dockerfile in it (or a Git URL, as per the docker build command).

This example will build an image with app.py inside it:

app.py

print "Hello world!"

fig.yml

web:
  build: .

Dockerfile

FROM ubuntu:12.04
RUN apt-get install python
ADD . /opt
WORKDIR /opt
CMD python app.py

Getting your code in

If you want to work on an application being run by Fig, you probably don't want to have to rebuild your image every time you make a change. To solve this, you can share the directory with the container using a volume so the changes are reflected immediately:

web:
  build: .
  volumes:
   - .:/opt

Communicating between containers

Your web app will probably need to talk to your database. You can use Docker links to enable containers to communicate, pass in the right IP address and port via environment variables:

db:
  image: orchardup/postgresql

web:
  build: .
  links:
   - db

This will pass an environment variable called MYAPP_DB_1_PORT into the web container, whose value will look like tcp://172.17.0.4:45678. Your web app's code can use that to connect to the database. To see all of the environment variables available, run env inside a container:

$ fig up -d db
$ fig run web env

Container configuration options

You can pass extra configuration options to a container, much like with docker run:

web:
  build: .

  -- override the default command
  command: bundle exec thin -p 3000

  -- expose ports, optionally specifying both host and container ports (a random host port will be chosen otherwise)
  ports:
   - 3000
   - 8000:8000

  -- map volumes
  volumes:
   - cache/:/tmp/cache

  -- add environment variables
  environment:
   RACK_ENV: development

Running a one-off command

If you want to run a management command, use fig run to start a one-off container:

$ fig run db createdb myapp_development
$ fig run web rake db:migrate
$ fig run web bash