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CI/CD Pipeline & DevOps Automation with AWS | Implemented a fully automated CI/CD pipeline for an AWS-based web application using AWS CodePipeline, CodeBuild, CodeDeploy, and CodeArtifact. Includes GitHub integration, automated testing, and Infrastructure as Code (IaC) with AWS CloudFormation

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joeycloudio/nextwork-devops-webapp

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CI/CD Pipeline & DevOps Automation with AWS

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.

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⚠️ Problem Statment

Manual deployments are slow, error-prone, and can cause downtime.

📈 Business Impact

✅ 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.

🏢 How Companies Use This

Any company doing frequent deployments (e.g., SaaS companies, fintech) benefits from automated pipelines.

Table of Contents


Technologies Used

  • 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

Setup and Deployment

To set up this project on your local machine:

  1. Clone the repository:
    git clone https://github.com/joeycloudio/nextwork-devops-webapp.git
  2. Navigate to the project directory:
    cd nextwork-devops-webapp
  3. Install dependencies:
    mvn install
  4. Deploy using AWS CodePipeline:
  • Connect GitHub to AWS CodePipeline.
  • Define build and deployment stages using AWS services.

Challenges Faced

⚠️ Frequent EC2 connection timeouts → Resolved by restarting VSCode and rebooting the instance.
⚠️ Git authentication issue → Explored credential storage with git config --global credential.helper store.
⚠️ CodeArtifact Setup Delays → Adjusted the pipeline to handle dependency storage efficiently.


Key Learnings

✔️ 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.


Future Enhancements

📌 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).


Contact

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CI/CD Pipeline & DevOps Automation with AWS | Implemented a fully automated CI/CD pipeline for an AWS-based web application using AWS CodePipeline, CodeBuild, CodeDeploy, and CodeArtifact. Includes GitHub integration, automated testing, and Infrastructure as Code (IaC) with AWS CloudFormation

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