[Script] Quick start Rails on Docker

Less boilerplate, more productivity

If you’re starting a new web application and you’re looking to install/use Rails, you’ll know that setting up the environment can take up a long time.

Between installing the right Ruby with rbenv, a database server, users, sessions, write a login flow, and writing a signup flow it can take a loooong time to get to the point where you’re doing something uesful.

Enter docker.

Docker is a containerization framework that lets you run services on reusable Linux containers and across AWS, Azure, Google Cloud Engine, or your own OS X or Windows host machine. There’s a lot of jargon here, but this is what it means for you:

  1. It’s faster to start a new project. You can worry less about installing boilerplate services like the web app, a million dependencies (runtimes, gems with native extensions). You can start right at what’s fun – your application logic.

  2. Write once, run anywhere. Provisioning and deploying a production instance (even on another operating system!) is just one line of change: RAILS_ENV=development to RAILS_ENV=production

Step 0. Install Docker and Docker Compose on your host



If your host machine runs OS X or Windows, the native Docker Beta which uses native virtualization - xhyve VM with an Alpine linux kernel on OS X - is recommended. This has less overhead than using the older boot2docker service, which runs a full traditional VM over VirtualBox.

Step 1. Clone this repository

git clone git@github.com:manur/docker-rails-baseline.git

Step 2. Build a network of containers

cd docker-rails-baseline

# Build docker container network
docker-compose build

# Deploy docker container network
docker-compose up

# Create database and run migrations
docker-compose run web rake db:create db:migrate

Step 3. Go forth and prosper.

Your Rails web server runs on a docker container, and is port mapped to localhost:3000. Your Postgres database service runs on a docker container, and is port mapped to localhost:5432

Step 4. Spinning down docker containers:

docker-compose down


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