Streamlining DevOps with Kubernetes, Docker, Jenkins and SonarQube: A Project Overview

In today’s fast-paced development environments, DevOps practices are crucial for efficient software delivery and continuous integration. In this blog, I’ll walk you through a recent project where we employed Kubernetes, Docker, Jenkins and SonarQube to manage and optimize a Node.js backend and a Next.js frontend. This project showcases the integration of these technologies to achieve streamlined development workflows and robust application performance.

Project Overview

1. Project Objectives

  • Containerization: Utilize Docker to containerize Node.js and Next.js applications.

  • Orchestration: Deploy and manage containers using Kubernetes.

  • Code Quality: Integrate SonarQube for continuous code quality checks and analysis.

  • Continuous Integration and Delivery: Set up a pipeline to automate testing and deployment using Jenkins.

2. Technologies Used

  • Docker: For creating isolated containers for both backend and frontend applications.

  • Kubernetes: For container orchestration and management.

  • HorizontalAutoScaler: To automate the increase and decrease the number of PODS as per demand.

  • Jenkins: For Continuous Integration and Continuous Delivery.

  • SonarQube: For continuous code quality inspection and analysis.

  • Node.js: Backend runtime environment.

  • Next.js: Frontend framework.

  1. System Setup:

Refer : github.com/Rajiv84ia/Machine-setup-for-DevO..

Install Node js and Next js on jenkins server.

Install helm on jenkins server.

Install Matrix-server after installing helm from helm chart.

Install Prometheus and Grafana from helm chart.

Use Jenkins Pipeline.

Jenkins stages:

Sonar Analysis:

Monitoring Tools:

UI view:

  1. Conclusion

Integrating Docker, Kubernetes, Jenkins, SonarQube, Prometheus, and Grafana has provided a powerful and efficient DevOps setup for managing and deploying applications. This project demonstrated how combining these tools can lead to a more streamlined development process and robust monitoring solutions.

For more details, visit my GitHub repository, where you can explore the complete project and configuration files.

Feel free to reach out with any questions or feedback!