The primary purpose of this project is to automate the software delivery lifecycle, from code compilation to deployment, thereby accelerating time-to-market, enhancing product quality, and reducing manual errors. The key objectives include:
- Establishing a seamless CI/CD pipeline using Jenkins to automate various stages of the software delivery process.
- Integrating essential DevOps tools such as Maven, SonarQube, Trivy, Nexus Repository, Docker, Kubernetes, Prometheus, and Grafana to ensure comprehensive automation and monitoring.
- Improving code quality through static code analysis and vulnerability scanning.
- Ensuring reliable and consistent deployments on a Kubernetes cluster with proper load balancing.
- Facilitating timely notifications and alerts via email integration for efficient communication and incident management.
- Implementing robust monitoring and alerting mechanisms to track system health and performance.
- Jenkins: Automation orchestration for CI/CD pipeline.
- Maven: Build automation and dependency management.
- SonarQube: Static code analysis for quality assurance.
- Trivy: Vulnerability scanning for Docker images.
- Nexus Repository: Artifact management and version control.
- Docker: Containerization for consistency and portability.
- Kubernetes: Container orchestration for deployment.
- Gmail Integration: Email notifications for pipeline status.
- Prometheus and Grafana: Monitoring and visualization of system metrics.
- AWS: Creating virtual machines.
Phase 1: Infrastructure Setup
- Built a robust network environment for seamless communication.
- Set up a Kubernetes cluster for container orchestration.
- Implemented Jenkins for CI/CD automation.
- Integrated SonarQube for code quality analysis.
- Configured Nexus as the artifact repository.
- Deployed monitoring solutions for real-time insights.
Phase 2: Private Git Repository
- Created a secure private Git repository.
- Implemented token-based authentication.
- Ensured version control by pushing source code to the repository.
๐๐ก๐๐ฌ๐ ๐: ๐๐/๐๐ ๐๐ข๐ฉ๐๐ฅ๐ข๐ง๐
pipeline includes the following steps:
- โ ๐๐จ๐จ๐ฅ ๐๐ง๐ฌ๐ญ๐๐ฅ๐ฅ: Environment Setup for buildings Java application.
- โ ๐๐ข๐ญ ๐๐ก๐๐๐ค๐จ๐ฎ๐ญ: Fetching the latest source code from the GitHub repository.
- โ ๐๐จ๐ฆ๐ฉ๐ข๐ฅ๐: Maven is used to compile the Java code.
- โ ๐๐๐ฌ๐ญ: Ensuring code stability and reliability.
- โ ๐ ๐ข๐ฅ๐ ๐๐ฒ๐ฌ๐ญ๐๐ฆ ๐๐๐๐ง: Trivy scan for detecting filesystem vulnerabilities.
- โ ๐๐จ๐ง๐๐ซ๐๐ฎ๐๐ ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ: Detailed insights into code quality, security, and maintainability for Java web applications.
- โ ๐๐ฎ๐ข๐ฅ๐: Packaging the code.
- โ ๐๐ฎ๐๐ฅ๐ข๐ฌ๐ก ๐๐จ ๐๐๐ฑ๐ฎ๐ฌ: Stores and manages artifacts for reuse and distribution.
- โ ๐๐ฎ๐ข๐ฅ๐ & ๐๐๐ ๐๐จ๐๐ค๐๐ซ ๐๐ฆ๐๐ ๐: Creating Docker images from Java packages.
- โ ๐๐จ๐๐ค๐๐ซ ๐๐ฆ๐๐ ๐ ๐๐๐๐ง: Scanning images with Trivy for vulnerabilities.
- โ ๐๐ฎ๐ฌ๐ก ๐๐จ๐๐ค๐๐ซ ๐๐ฆ๐๐ ๐: Pushing the image to a private Docker Hub repository.
- โ ๐๐๐ฉ๐ฅ๐จ๐ฒ ๐๐จ ๐๐ฎ๐๐๐ซ๐ง๐๐ญ๐๐ฌ: Deploying the application to the Kubernetes cluster.
- โ ๐๐๐ซ๐ข๐๐ฒ ๐ญ๐ก๐ ๐๐๐ฉ๐ฅ๐จ๐ฒ๐ฆ๐๐ง๐ญ: Ensuring the pods and services are correctly deployed in Kubernetes.
- โ ๐๐ฆ๐๐ข๐ฅ ๐๐จ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง: Sending email notifications with build status and attaching the Trivy image scan report.
Phase 4: Monitoring
- System-level monitoring (CPU, RAM) using node_exporter.
- Website monitoring using blackbox_exporter.
- Utilized Prometheus & Grafana for effective visualization and analysis
Check out the complete descriptive blog about the project!!
-
Troubleshooting Skills: Debugging issues that arise in the CI/CD pipeline or during deployments requires strong troubleshooting skills. Identifying and resolving errors efficiently is crucial for maintaining smooth operations.
-
Security Practices: Integrating security checks into your CI/CD pipeline, such as static code analysis, vulnerability scanning, and compliance checks, helps ensure the integrity and security of your board game application.