Abishekgautam44 / Jenkins-project

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Jenkins, SonarQube, and Docker Pipeline Project

This project demonstrates a continuous integration and continuous delivery (CI/CD) pipeline using Jenkins, SonarQube, and Docker.

Prerequisites

  • Docker installed and running
  • Jenkins installed and accessible
  • SonarQube installed and accessible
  • Git client installed
  • A GitHub repository containing your project code

Project Structure

.
├── Dockerfile
├── docker-compose.yml
├── Jenkinsfile
├── README.md
├── src
│   └── ... (your project code)
└── ... (other project files)

Pipeline Workflow

  1. Code Commit: Changes are committed to the GitHub repository.
  2. GitHub Webhook: A webhook triggers the Jenkins pipeline.
  3. Jenkins Job: The Jenkins job starts:
    • Checkout: Downloads the code from the GitHub repository.
    • Build: Builds the project using Docker.
    • SonarQube Analysis: Runs SonarQube analysis on the built project.
    • Push Docker Image: Pushes the built Docker image to a Docker registry.
    • Deploy: Deploys the Docker image to your desired environment.

Configuration

  1. Dockerfile: Define how to build the Docker image.
  2. docker-compose.yml: Define services for running Jenkins and SonarQube.
  3. Jenkinsfile: Define the pipeline steps in Jenkins.
  4. SonarQube: Configure SonarQube to analyze your project code.

Running the Pipeline

  1. Build the Docker image: docker-compose build
  2. Start the services: docker-compose up -d
  3. Commit changes to your GitHub repository.
  4. The pipeline should automatically start and run through the defined steps.

Monitoring and Logs

  • Jenkins: Monitor the pipeline progress and check job logs in the Jenkins web interface.
  • SonarQube: View code quality reports and dashboards in the SonarQube web interface.

Further Customization

  • You can customize the pipeline further by adding additional steps, such as unit tests or security scans.
  • You can integrate other tools and services into the pipeline to automate your CI/CD workflow.

Additional Resources

License

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

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