Project overview
The client needed a streamlined, automated CI/CD pipeline for a Java application on Kubernetes — with consistent code quality and security compliance across the lifecycle.
Challenges
- Inconsistent manual code reviews and security scans
- Manual builds and deployments increased the risk of human error
- Need for robust, automated security checks for Docker images and Kubernetes manifests
Our approach
We designed and implemented a fully automated CI/CD pipeline using AWS native services, ensuring every step from commit to Kubernetes deployment was automated, secure and consistent.
Pipeline stages
- SonarQube auto-analyses Java code on every pull request
- Amazon EventBridge triggers the pipeline after PR merge
- CodeBuild scans Dockerfiles and Helm charts with Checkov
- Aqua Security Trivy scans Docker images before pushing to ECR
- CodeBuild packages artifacts only after security gates pass
- Helm-based deployment to Amazon EKS for consistent releases
Outcomes
- Improved code quality with reduced manual review time
- Security vulnerabilities identified and resolved early
- Deployment times reduced by 50%
- Developers focused on code while the pipeline handled testing, scanning and deploys