MULTI-STAGE DOCKER BUILDS AND DEPLOYMENT ON AWS ECS

Abstract: Modern software applications require scalable, portable, and efficient deployment mechanisms. Traditional deployment methods often involve manual configuration of servers and dependencies, which increases complexity and deployment time. Containerization technologies such as Docker address these issues by packaging applications along with their dependencies into lightweight containers that can run consistently across different environments. However, single-stage container builds may create large images containing unnecessary dependencies.

This project presents a cloud-native deployment architecture that uses multi-stage Docker builds to create optimized container images and deploy them using Amazon Elastic Container Service (ECS). The application is containerized using Docker, stored in a container registry, and executed in a serverless container environment using AWS Fargate. The system also integrates monitoring and logging capabilities through centralized logging services to observe runtime performance and system behavior.

The proposed architecture demonstrates how optimized container images can be efficiently deployed and managed in a cloud environment while ensuring scalability, reliability, and security.

Keywords: Docker, Multi-Stage Builds, Containerization, AWS ECS, Cloud Deployment, DevOps