Automated Code Deployment for ECS Containers on AWS

This project involved the design and implementation of an automated code deployment pipeline for containerized applications running within Amazon Elastic Container Service (ECS) on Amazon Web Services (AWS).

Automated deployment: Leveraged AWS CodePipeline to automate the entire deployment process, reducing manual intervention and the risk of human error.

Continuous integration/continuous delivery (CI/CD): Integrated with a version control system to trigger deployments upon code changes, enabling faster delivery cycles and improved application quality.

Scalability and elasticity: The deployment pipeline seamlessly integrates with ECS allowing for deployments to scale automatically based on application needs.

Rollback functionality: Implemented a rollback mechanism within the pipeline, enabling the reverting of deployments in case of issues.

Increased deployment efficiency: Streamlined deployment process reduces time spent on manual deployments and allows for faster deployments to production.

Improved reliability: Automated deployments minimize manual errors and ensure consistent configuration across environments.

Enhanced scalability: Enables application scaling to meet fluctuating demands automatically.

Reduced operational overhead: Automates routine tasks, freeing up development resources for other initiatives.

CI/CD tool: Implemented AWS CodePipeline to orchestrate the entire deployment process.

Version control system: Integrated with a Git repository to trigger deployments upon code pushes.

Deployment target: Utilized Amazon ECS for deploying containerized applications.

Infrastructure as code: Managed infrastructure using Infrastructure as Code (IaC) tools like AWS CloudFormation for consistent and repeatable infrastructure configurations.