๐Ÿš€ CI/CD Pipeline Overview

This project integrates a fully automated CI/CD pipeline designed to ensure efficient building, testing, security scanning, and deployment.

Hereโ€™s an overview of the key stages and the additional monitoring tools implemented:


๐Ÿ›  What I Did in the Pipeline

1. Checkout ๐Ÿง‘โ€๐Ÿ’ป

The pipeline retrieves the latest version of the source code from GitHub to ensure it works with the most up-to-date codebase.

2. Maven Clean and Build ๐Ÿ”จ

The project is cleaned to remove previous build artifacts, then compiled to produce executable binaries.

3. JUnit and Mockito Tests ๐Ÿงช

Unit tests are executed using JUnit and Mockito to ensure the core functionality of the application is correct.

4. SonarQube Analysis with JaCoCo ๐Ÿ“Š

Static code analysis is performed using SonarQube to detect code quality issues, vulnerabilities, and code smells. JaCoCo is integrated to measure test coverage, ensuring the tests adequately cover the applicationโ€™s code.

5. Create Package ๐Ÿ“ฆ

The compiled code is packaged into an artifact (e.g., a JAR or WAR) suitable for deployment.

6. Deploy to Nexus ๐Ÿš€

The artifact is uploaded to Nexus for version control and artifact storage, making it easily accessible for deployment or further use.

7. Build Docker Image ๐Ÿณ

A Docker image is built from the packaged application to prepare it for containerized deployment.

8. Trivy Scan ๐Ÿ”’

The Docker image is scanned using Trivy to identify any known vulnerabilities, ensuring that the image is secure before deployment.

9. Push Docker Image to DockerHub ๐ŸŒ

The Docker image is pushed to DockerHub, allowing it to be pulled and deployed in various environments.

10. Deploy with Docker Compose ๐Ÿ”ง

The application is deployed using Docker Compose, orchestrating multiple containers to run seamlessly together.

11. Post Actions ๐Ÿ“ง

After the pipeline execution, an automated email is sent, containing:

  • The Trivy vulnerability scan report.
  • A summary of the pipelineโ€™s success or failure for each stage.

๐Ÿ“ˆ Additional Integrations

Prometheus and Grafana

These tools are integrated to monitor the applicationโ€™s performance and visualize metrics, providing real-time insights into the health and stability of the system.


This automated pipeline ensures high-quality code, secure builds, and streamlined deployments, while providing robust monitoring and feedback through SonarQube, Prometheus, and Grafana. The pipeline also leverages Docker for containerized deployments, Trivy for vulnerability scanning, and Nexus for artifact management, ensuring a fully integrated, secure, and scalable CI/CD workflow. This combination of tools enables efficient development, testing, and deployment processes while maintaining high standards of security and performance monitoring.


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