Project One

💼 Automated AWS App Runner Deployment Pipeline

This project demonstrates a fully automated, container-based deployment pipeline built using AWS App Runner. It focuses on simplifying the process of moving applications from local development to production by implementing a streamlined, push-button deployment workflow.

The application is containerized using Docker and deployed through Amazon Elastic Container Registry (ECR), ensuring secure and efficient image storage within the AWS ecosystem. A custom Bash automation script handles the entire deployment lifecycle — from authentication and image building to tagging and pushing — eliminating manual steps and reducing the risk of human error.

AWS App Runner is used as the hosting platform to abstract away infrastructure management. It automatically handles scaling, load balancing, and HTTPS configuration, allowing applications to be deployed and updated with zero downtime through rolling deployments.

⚙️ Architecture Flow

Code → Docker Build → Amazon ECR → AWS App Runner → Live Application

🛠️ Tools & Why They Were Used

• Docker
• Used to containerize the application, ensuring consistent environments across development and production.
• Amazon ECR
• Provides a secure, private container registry integrated with AWS for efficient image storage and access control.
• AWS App Runner
• Chosen as a fully managed service to handle deployment, scaling, and load balancing without managing servers.
• Bash Scripting
• Automates the deployment workflow, making the process repeatable, consistent, and error-free.
• Node.js
• Used for building a lightweight, fast, and scalable application suitable for containerized environments.

🔐 Key Features

• Fully automated deployment pipeline
• Zero infrastructure management (serverless deployment)
• Secure container registry with IAM-based access control
• Rolling deployments with zero downtime
• Fast and repeatable release process

🎯 Outcome

This project demonstrates the ability to design and implement modern, cloud-native deployment pipelines using managed services. It highlights strong skills in automation, containerization, and leveraging cloud platforms to build scalable and efficient application delivery systems.