AWS_ACCESS_KEY_ID

AWS_SECRET_ACCESS_KEY

AWS_DEFAULT_REGION

INTERNAL_IP

IP_PORT

SWARM_TOKEN

BUCKET

DIGITAL_OCEAN_TOKEN

Gain insights into Docker architecture, images, and containers. Learn Docker Compose, JS integration, and production readiness. Master deploying, clustering, and scaling Rails apps using Docker tools.

tarball.tar.gz

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This course is your field manual for building Rails applications with Docker. 

To kick things off, you’ll start by learning the basics of Docker like architecture, images, and containers. You will then be introduced to Docker Compose and use it to build up to a multiservice application with Redis.

You will then work to get your Dockerized setup to play nice with JavaScript, using both the standard asset pipeline and webpacker, Rails’ newest approach for integrating modern JavaScript front ends.

Lastly, you will learn how to prepare your Rails app for production. Once ready, using Docker’s own tools, you will provision machines, create a cluster, deploy the app, and scale the app’s resources to meet its changing needs.

By the end of the course, you will be able to confidently use Docker in any of your further projects.

Docker for Rails Developers

## Highlights
Excellent! We have been Docker Machining and Swarming like a boss. We have deployed our application to the cloud providers, creating the infrastructure we needed as we went.

1. We covered the steps necessary to create a multi-node Swarm cluster on AWS and Digital Ocean.

2. We deployed our application to the Swarm cluster by making our Docker CLI target the manager node:
   ```text
   $ eval $(docker-machine env do-manager-1)
   ```
   and then deploying the application:
   ```text
   $ docker stack deploy -c docker-stack.yml myapp
   ```

3. We used the visualizer to see the placement of containers on our nodes.

4. We learned about `deploy`, options that can be specified in our `docker-stack.yml` file, including placement constraints.

5. We scaled up the service using both the following command:
   ```text
   $ docker service scale myapp_web=3
   ```
   and by specifying the number of replicas for service in our `docker-stack.yml`:
   ```yaml
      service:
         deploy:
            replicas: 2
   ```

## What to expect in the next chapter?
It is sad to say that our Docker adventures (in this course at least) are coming to an end. In the next—and final—chapter, we will draw things to a close, and give you some helpful pointers for continuing your journey with Docker, especially when it comes to deploying to production.

# Highlights
Excellent! We have been Docker Machining and Swarming like a boss. We have deployed our application to the cloud providers, creating the infrastructure we needed as we went.

1. We covered the steps necessary to create a multi-node Swarm cluster on AWS and Digital Ocean.

2. We deployed our application to the Swarm cluster by making our Docker CLI target the manager node:
   ```text
   $ eval $(docker-machine env do-manager-1)
   ```
   and then deploying the application:
   ```text
   $ docker stack deploy -c docker-stack.yml myapp
   ```

3. We used the visualizer to see the placement of containers on our nodes.

4. We learned about `deploy`, options that can be specified in our `docker-stack.yml` file, including placement constraints.

5. We scaled up the service using both the following command:
   ```text
   $ docker service scale myapp_web=3
   ```
   and by specifying the number of replicas for service in our `docker-stack.yml`:
   ```yaml
      service:
         deploy:
            replicas: 2
   ```

# What to expect in the next chapter?
It is sad to say that our Docker adventures (in this course at least) are coming to an end. In the next—and final—chapter, we will draw things to a close, and give you some helpful pointers for continuing your journey with Docker, especially when it comes to deploying to production.

Let's review what we have covered in this chapter.

Quick Recap

Introduction

A Brave New World

Running a Rails App in a Container

Fine-Tuning Our Rails Image

Describing Our App Declaratively with Docker Compose

Beyond the App: Adding Redis

Docker for Rails Developer—Exam 1

Adding a Database: Postgres

Playing Nice with JavaScript

Testing in a Dockerized Environment

Advanced Gem Management

Some Minor Irritations

Docker for Rails Developer—Exam 2

The Production Landscape

Preparing for Production

A Production-Like Playground

Deploy a Full Stack Web Application over Kubernetes

Deploying to the Cloud

Docker for Rails Developer - Exam 3

Closing Thoughts and Next Steps

APPENDIX

Quick Recap

Highlights