Advanced CI/CD Pipeline for Spring PetClinic

This repository demonstrates a comprehensive CI/CD pipeline for the Spring PetClinic application, showcasing DevOps best practices for enterprise applications.

Architecture Overview

The CI/CD pipeline implements a fully automated workflow from code commit to production deployment, with the following components:

• Source Control: GitHub repository with branch protection rules
• CI Pipeline: GitHub Actions for building, testing, and scanning
• Security Scanning: SonarCloud, OWASP Dependency Check, Trivy, and ZAP
• Infrastructure as Code: Terraform for provisioning AWS resources
• Containerization: Docker for application packaging
• Container Registry: Amazon ECR for storing Docker images
• Deployment Targets: ECS clusters for dev, staging, and production environments
• Performance Testing: JMeter for load and performance testing
• Approval Workflows: Manual approvals for production deployments
• Notifications: Slack integration for deployment notifications

Pipeline Workflow

1. Code Commit:

   • Developer pushes code to a feature branch
   • Pull request is created for review

2. CI Process:

   • Automated build and unit tests
   • Code quality and security scanning
   • Integration tests

3. Artifact Creation:

   • Docker image is built and tagged
   • Image is pushed to ECR repository

4. Deployment Process:

   • Infrastructure is provisioned/updated using Terraform
   • Application is deployed to the target environment
   • For production: manual approval is required

5. Verification:

   • Automated tests verify the deployment
   • Performance tests validate application under load

Environment Setup

The pipeline manages three environments:

• Development: Automatically updated with each commit to main
• Staging: Used for pre-production testing
• Production: Protected by manual approval workflow

Prerequisites

• GitHub account
• AWS account with appropriate permissions
• SonarCloud account
• Slack workspace (for notifications)

Getting Started

1. Fork and Clone the Repository

git clone https://github.com/YOUR_USERNAME/spring-petclinic.git
cd spring-petclinic

2. Configure GitHub Secrets

The following secrets need to be configured in your GitHub repository:

• AWS_ACCESS_KEY_ID: AWS access key with permissions to create resources
• AWS_SECRET_ACCESS_KEY: Corresponding AWS secret key
• SONAR_TOKEN: SonarCloud authentication token
• DB_USERNAME: Database username for RDS instances
• DB_PASSWORD: Database password for RDS instances
• VPC_ID: AWS VPC ID where resources will be deployed
• SLACK_WEBHOOK_URL: Slack webhook URL for notifications

3. Set Up Infrastructure

Initialize the Terraform backend:

cd terraform
terraform init

4. Run the CI/CD Pipeline

The pipeline will automatically run on commits to the main branch. You can also manually trigger deployments from the GitHub Actions tab.

Security Considerations

• Secrets are stored in GitHub Secrets and never exposed in logs
• Infrastructure follows security best practices with proper IAM roles
• Regular security scanning ensures vulnerabilities are identified early
• Production deployments require manual approval

Monitoring and Observability

• Application metrics are collected using CloudWatch
• Logs are centralized for easy troubleshooting
• Alerts are configured for critical thresholds

Extending the Pipeline

You can extend this pipeline by:

• Adding more thorough security scanning
• Implementing blue/green or canary deployments
• Adding chaos engineering tests
• Implementing infrastructure drift detection

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.