Enterprise DevOps Platform

Enterprise DevOps Platform is an end-to-end CI/CD implementation project demonstrating modern DevOps practices using Jenkins, SonarQube, Docker, Docker Hub, and Kubernetes.

The project automates the complete software delivery lifecycle from source code commit to deployment on a Kubernetes cluster.

Developer ↓ GitHub Repository ↓ Jenkins Pipeline ↓ SonarQube Code Analysis ↓ Docker Build ↓ Docker Hub Push ↓ Kubernetes Deployment ↓ Application Service Exposure

• Jenkins
• GitHub

• SonarQube

• Docker
• Docker Hub

• Kubernetes

• Python Flask

• Linux VM
• Docker Runtime

enterprise-devops-platform/
│
├── app/
│   ├── app.py
│   ├── requirements.txt
│   └── Dockerfile
│
├── kubernetes/
│   ├── deployment.yaml
│   └── service.yaml
│
├── Jenkinsfile
│
└── README.md

Jenkins pulls the latest code from GitHub.

git 'https://github.com/Deeksha-chouhan/enterprise-devops-platform.git'

Static code analysis is performed to identify:

• Bugs
• Vulnerabilities
• Code smells
• Security issues

Example:

sonar-scanner \
-Dsonar.projectKey=enterprise-devops-platform \
-Dsonar.sources=. \
-Dsonar.host.url=<SONAR_URL>

Application container image is built.

docker build -t 9691427913/enterprise-devops-platform:latest ./app

Docker image is pushed to Docker Hub.

docker push 9691427913/enterprise-devops-platform:latest

Deploy application to Kubernetes.

kubectl apply -f kubernetes/deployment.yaml

Expose application service.

kubectl apply -f kubernetes/service.yaml

The Jenkins pipeline completed successfully.

• Analysis Status: SUCCESS
• Kubernetes YAML Scanned
• Dockerfile Scanned
• Python Source Code Scanned

Image Built Successfully:

9691427913/enterprise-devops-platform:latest

Image Published Successfully to Docker Hub.

Deployment Status:

deployment.apps/enterprise-devops-platform unchanged

Service Status:

service/enterprise-devops-service unchanged

• CI/CD Pipeline Automation
• Infrastructure as Code
• Static Code Analysis
• Containerization
• Image Registry Integration
• Kubernetes Deployment
• Automated Build Process
• Automated Release Process

While extending the project, additional tools such as:

• Trivy
• Prometheus
• Grafana

could not be fully configured due to insufficient storage available on the VM.

Despite this limitation, the complete CI/CD workflow was successfully implemented and validated.

Through this project I gained hands-on experience with:

• Jenkins Pipeline Development
• SonarQube Integration
• Docker Image Management
• Docker Hub Registry Usage
• Kubernetes Deployments
• Kubernetes Services
• CI/CD Best Practices
• DevOps Automation

• Integrate Trivy Security Scanning
• Add Prometheus Monitoring
• Add Grafana Dashboards
• Implement Helm Charts
• Add ArgoCD GitOps Deployment
• Multi-Environment Deployment Strategy
• Automated Rollbacks

Deeksha Chouhan

DevOps Engineer

GitHub: https://github.com/Deeksha-chouhan LinkedIn:https://www.linkedin.com/in/deeksha-chouhan-devops/

LinkedIn: (Add Your LinkedIn URL)