ECS Deployment Workflow Explanation

This repository contains a GitHub Actions workflow that automates the deployment of a Dockerized application to AWS ECS using Amazon ECR and AWS CodeDeploy.

What We Have Implemented

1. ECS and CodeDeploy Setup

   • We have created an ECS cluster and service for the application.
   • AWS CodeDeploy has been configured to manage deployments to the ECS service, including support for blue/green deployments.

2. Deployment Workflow

   • The GitHub Actions workflow handles the entire deployment process automatically whenever changes are pushed to the main branch or triggered manually.
   • Key steps include:
     • Pushing Docker images to Amazon ECR tagged with the GitHub commit SHA.
     • Updating the ECS Task Definition dynamically with the new image tag and environment variables at runtime.
     • Triggering CodeDeploy deployments to roll out the updated ECS service.
     • Optional monitoring of deployment status to ensure successful deployment and support rollback if needed.

3. Template Files

   • taskdef-template.json and appspec-template.yml are included in the repository.
   • These files contain placeholders for environment variables and other runtime values.
   • During workflow execution, the placeholders are replaced dynamically with actual values such as Docker image tag, environment variables, or resource names.

Workflow Benefits

• Automated Deployment: No manual intervention is needed to update ECS or trigger CodeDeploy.
• Dynamic Updates: Task definitions and AppSpec files are updated at runtime to reflect the latest image and environment configuration.
• Safe Deployment: Using CodeDeploy’s blue/green strategy allows for zero-downtime deployments and easy rollback on failure.
• Reproducibility: Every commit triggers a consistent deployment pipeline, ensuring the latest code is always live in the ECS service.

This setup ensures a robust, automated, and reliable deployment pipeline for Dockerized applications on AWS ECS.

Screenshots of works

Initial deplooyment using Terraform

Deployment using the code-deploy workflow using code deployment

Code deploy for the subsequent deployment

AWS

Aws succeed deployment