This project is part of a 7-part DevOps series, where I implemented a fully automated CI/CD pipeline for an AWS-based web application.
Manual deployments are slow, error-prone, and can cause downtime.
✅ Eliminates manual deployments and speeds up software delivery.
✅ Reduces downtime & risk by testing infrastructure before deployment.
✅ Ensures dev/prod parity—code behaves the same in all environments.
Any company doing frequent deployments (e.g., SaaS companies, fintech) benefits from automated pipelines.
- Version Control: Git, GitHub
- CI/CD Automation: AWS CodePipeline, CodeBuild, CodeDeploy, CodeArtifact
- Infrastructure as Code (IaC): AWS CloudFormation
- Development: VSCode, AWS EC2 (for development environment)
- Automation & Scripting: AWS CLI
To set up this project on your local machine:
- Clone the repository:
git clone https://github.com/joeycloudio/nextwork-devops-webapp.git
- Navigate to the project directory:
cd nextwork-devops-webapp
- Install dependencies:
mvn install
- Deploy using AWS CodePipeline:
- Connect GitHub to AWS CodePipeline.
- Define build and deployment stages using AWS services.
✔️ Built a full CI/CD pipeline from scratch using AWS services.
✔️ Mastered GitHub integration with AWS CodePipeline.
✔️ Implemented automated deployments and rollback strategies with CodeDeploy.
✔️ Used CloudFormation to provision infrastructure automatically.
📌 Add monitoring & logging with AWS CloudWatch.
📌 Implement IAM security best practices for pipeline access control.
📌 Extend the pipeline to support multi-environment deployments (Dev → Staging → Prod).