Docker_AWS_ECR_ECS_CD.md

CD for a Dockerized application using Github Actions, Amazon ECR and Amazon ECS

Introduction

Containerized applications are becoming more popular due to the consistency they provide accross different machines and portability to different cloud providers. It is becoming increasingly valuable to build applications with dockerization in mind. With that comes the need to streamline deployment of these containerized applications.

Pre-Requisites

• Dockerizing an app
• Github Actions

Step 1 (Setting up your application & AWS):

• Essentially you want to follow the same steps as this tutorial Deploy Node.js Docker AWS, adjusting your dockerfile according to language and tools you are using for your application. The main goals are to
  • Containerize your application
  • Create an amazon ECR repository
  • Create an ECS cluster, service as well as task definition

NOTE: It's important that your ECR repository and ECS cluster are defined on the same AWS region otherwise you may have to sign into aws twice throughout the workflow

Step 2 (Setting up the workflow -- triggers):

on:
  push:
    branches:
      - production

• With the above code we ensure that the workflow created in this guide is run only on pushes to the "production" branch
• Generally you only want to deploy your application on pushes to some branch designated as your production branch to avoid wasting github actions minutes and deploying when development is underway

Step 2 (Setting up the workflow triggers):

Create a new job

jobs:
  deploy:
    name: Deploy
    runs-on: ubuntu-latest
    environment: production

    steps:

• We'll be creating a new job called deploy that runs on an ubuntu instance
• All subsequent steps will fall under the "steps:" section in the code block above

Step 3 (Checking out the repo)

    - name: Checkout
            uses: actions/checkout@v4

• Create a new step for checking out the current repo. This ensures that in subsequent steps you have access to all code within your current repo

Step 4 (Signing into AWS)

- name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@0e613a0980cbf65ed5b322eb7a1e075d28913a83
        with:
          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          aws-region: <YOUR_AWS_REGION>
- name: Login to Amazon ECR
        id: login-ecr
        uses: aws-actions/amazon-ecr-login@62f4f872db3836360b72999f4b87f1ff13310f3a

• For details on how to quickly set up your AWS credentials, view the following video: https://www.youtube.com/watch?v=gswVHTrRX8I
• From the above video, you should have recieved an access key as well as a secret access key which you should then set in your Github Secrets
• Setting secrets ensures that you have access to your credentials within your workflow without explicitly writing them out in the workflow file
• We are using an action defined by someone else to aid us in signing into aws for subsequent steps

Step 5 (Building/tagging your image and pushing it to your ECR repo)

- name: Build, tag, and push image to Amazon ECR
        id: build-image
        run: |
          docker build -t <ECR_REGISTRY>/<ECR_REPOSITORY>:latest <DOCKERFILE_FOLDER_PATH>
          docker push <ECR_REGISTRY>/<ECR_REPOSITORY>:latest

• Just like how we build the docker image in order to run a container locally, we should build, tag and push our image to our ECR repository so that ECS can pull from it in a future step
• The DOCKERFILE_FOLDER_PATH is the path to the folder containing the dockerfile to build your application
• The ECR_REGISTRY and ECR_REPOSITORY can be retrieved from the repository URI

Step 6 (Deploying the application)

- name: Deploy Amazon ECS task definition
        uses: aws-actions/amazon-ecs-deploy-task-definition@df9643053eda01f169e64a0e60233aacca83799a
        with:
          task-definition: <PATH_TO_TASK_DEFINITION>
          service: <ECS_SERVICE>
          cluster: <ECS_CLUSTER>
          wait-for-service-stability: true

• Once again, using an existing action, we will deploy the app by specifying some additional information

• The task definition, ECS service and ECS cluster are defined as per Deploy Node.js Docker AWS

• For <PATH_TO_TASK_DEFINITION> you should link to that path of your aws task definition JSON file in your repository. If you don't have one in your repository you can generate one by visiting the task definitions page in Amazon ECS

• wait-for-service-stability keeps the workflow from passing until the ECS service has become stable given the most recent deployment

Conclusion

Congrationations, you have reached the end of this tutorial! After a push to your production branch you should be able to sit back and watch your newest workflow deploy your app for you!

Reference

This guide is inspired by this github actions guide Deploying to amazon elastic container service