CI/CD DevOps Pipeline Project: Deployment of Java Application on Kubernetes

Introduction In today's fast-paced software development environment, implementing DevOps practices is crucial for organizations striving for agility, efficiency, and high-quality software delivery. This project demonstrates the implementation of a robust Continuous Integration/Continuous Deployment (CI/CD) pipeline using Jenkins, automating the entire software lifecycle from development to deployment. Architecture Objectives The primary goal of this project is to automate software delivery, improving speed, reliability, and efficiency while minimizing manual intervention. The key objectives include: Automated CI/CD Pipeline: Implementing a seamless Jenkins-based CI/CD pipeline to streamline build, test, and deployment processes. Integration of DevOps Tools: Utilizing Maven, SonarQube, Trivy, Nexus Repository, Docker, Kubernetes, Prometheus, and Grafana for end-to-end automation. Code Quality & Security: Enhancing software quality through static code analysis (SonarQube) and security vulnerability scanning (Trivy). Scalable Deployments: Ensuring reliable, scalable, and load-balanced deployments on a Kubernetes cluster. Automated Notifications: Enabling email alerts for build and deployment status. Robust Monitoring & Alerting: Implementing Prometheus and Grafana for real-time system health monitoring and performance analysis. Tools & Technologies Used Tool Purpose Jenkins CI/CD pipeline orchestration Maven Build automation and dependency management SonarQube Static code analysis for quality assurance Trivy Docker image vulnerability scanning Nexus Repository Artifact management and version control Docker Containerization for consistency and portability Kubernetes Container orchestration for scalable deployments Gmail Integration Email notifications for build and deployment updates Prometheus & Grafana Monitoring and visualization of system metrics AWS EC2 Infrastructure provisioning and hosting Infrastructure Setup: Virtual Machines on AWS To support this pipeline, AWS EC2 instances were provisioned for various DevOps tools:

Mar 22, 2025 - 17:42

CI/CD DevOps Pipeline Project: Deployment of Java Application on Kubernetes

Introduction

In today's fast-paced software development environment, implementing DevOps practices is crucial for organizations striving for agility, efficiency, and high-quality software delivery. This project demonstrates the implementation of a robust Continuous Integration/Continuous Deployment (CI/CD) pipeline using Jenkins, automating the entire software lifecycle from development to deployment.

Architecture

Objectives

The primary goal of this project is to automate software delivery, improving speed, reliability, and efficiency while minimizing manual intervention. The key objectives include:

Automated CI/CD Pipeline: Implementing a seamless Jenkins-based CI/CD pipeline to streamline build, test, and deployment processes.
Integration of DevOps Tools: Utilizing Maven, SonarQube, Trivy, Nexus Repository, Docker, Kubernetes, Prometheus, and Grafana for end-to-end automation.
Code Quality & Security: Enhancing software quality through static code analysis (SonarQube) and security vulnerability scanning (Trivy).
Scalable Deployments: Ensuring reliable, scalable, and load-balanced deployments on a Kubernetes cluster.
Automated Notifications: Enabling email alerts for build and deployment status.
Robust Monitoring & Alerting: Implementing Prometheus and Grafana for real-time system health monitoring and performance analysis.

Tools & Technologies Used

Tool	Purpose
Jenkins	CI/CD pipeline orchestration
Maven	Build automation and dependency management
SonarQube	Static code analysis for quality assurance
Trivy	Docker image vulnerability scanning
Nexus Repository	Artifact management and version control
Docker	Containerization for consistency and portability
Kubernetes	Container orchestration for scalable deployments
Gmail Integration	Email notifications for build and deployment updates
Prometheus & Grafana	Monitoring and visualization of system metrics
AWS EC2	Infrastructure provisioning and hosting

Infrastructure Setup: Virtual Machines on AWS

To support this pipeline, AWS EC2 instances were provisioned for various DevOps tools: