A production-ready DevOps project demonstrating the complete software delivery lifecycle using modern cloud-native technologies.
This project showcases how an e-commerce application can be containerized, deployed, monitored, and automatically managed through a fully automated CI/CD pipeline. The platform integrates GitHub, Jenkins, Docker, Kubernetes, Prometheus, and Grafana to provide continuous integration, continuous deployment, monitoring, observability, and infrastructure automation.
The E-Commerce DevOps Platform implements an end-to-end DevOps workflow.
Code changes pushed to GitHub automatically trigger Jenkins pipelines that build Docker images, push them to a registry, and deploy updated application versions to a Kubernetes cluster. Prometheus continuously monitors the infrastructure while Grafana provides visualization and alerting capabilities.
The project demonstrates real-world DevOps practices including automation, containerization, orchestration, monitoring, and infrastructure observability.
Developer
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GitHub Repository
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Jenkins CI/CD Pipeline
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Docker Build & Push
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Kubernetes Cluster
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├── Frontend (React)
├── Backend (Node.js + Express)
└── MySQL Database
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Prometheus Monitoring
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Grafana Dashboards & Alerts
| Layer | Technology |
|---|---|
| Frontend | React.js, Vite, Axios |
| Backend | Node.js, Express.js |
| Database | MySQL |
| CI/CD | Jenkins |
| Containerization | Docker |
| Orchestration | Kubernetes, Helm |
| Monitoring | Prometheus |
| Visualization | Grafana |
| Version Control | GitHub |
- Automated CI/CD Pipeline
- Dockerized Application Services
- Kubernetes Deployment
- React-Based Dashboard
- Backend API Integration
- MySQL Database Connectivity
- Prometheus Monitoring
- Grafana Dashboards
- Alert Management
- GitHub Webhook Integration
- Infrastructure Observability
- Production-Style DevOps Workflow
The Jenkins pipeline automates the complete deployment workflow:
- Source code checkout from GitHub
- Docker image build
- Docker Hub authentication
- Docker image push
- Kubernetes deployment
- Deployment verification
- Checkout SCM
- Build Docker Image
- Docker Login
- Push Docker Image
- Deploy to Kubernetes
- Post Actions
The frontend is developed using React.js and Vite, providing a modern and responsive user interface for interacting with the e-commerce platform. It communicates with backend APIs to retrieve application data and display system information.
The backend is built using Node.js and Express.js. It handles business logic, API requests, database communication, and application services required by the frontend layer.
Jenkins automates the software delivery process by continuously integrating code changes, building Docker images, executing deployment pipelines, and updating Kubernetes workloads automatically.
Prometheus continuously collects metrics from Kubernetes nodes, pods, containers, and application services. It enables real-time monitoring and acts as the foundation for alert generation.
Grafana provides interactive dashboards and visual representations of infrastructure and application metrics collected by Prometheus. It enables performance analysis, observability, and operational monitoring.
Kubernetes orchestrates containerized workloads by managing deployments, scaling, service discovery, and self-healing capabilities across the cluster.
MySQL serves as the persistent data storage layer of the application, maintaining structured data and supporting backend operations.
The application is deployed using Kubernetes Deployments and Services.
- Frontend Deployment
- Backend Deployment
- MySQL Deployment
- Frontend NodePort Service
- Backend ClusterIP Service
- MySQL ClusterIP Service
Prometheus continuously collects metrics from:
- Kubernetes Nodes
- Kubernetes Pods
- Backend Services
- Containers
- Infrastructure Resources
Grafana visualizes these metrics through dashboards that provide insights into:
- Cluster Health
- Node Metrics
- Pod Status
- Resource Utilization
- Application Availability
The monitoring stack includes automated alerts for critical events:
- Backend Down Alert
- MySQL Down Alert
- High CPU Usage Alert
These alerts help identify failures and performance issues before they impact application availability.
The project dashboard includes screenshots demonstrating:
- Grafana Monitoring Dashboard
- Prometheus Targets
- Jenkins CI/CD Pipeline
- Kubernetes Cluster Status
- Backend Down Alert
- MySQL Down Alert
- High CPU Alert
ecommerce-devops-platform/
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├── backend/
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├── frontend/
│ ├── src/
│ ├── public/
│ │ └── screenshots/
│ └── Dockerfile
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├── helm/
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├── Jenkinsfile
├── docker-compose.yml
├── frontend-deployment.yaml
└── README.md
This project demonstrates practical implementation of:
- Continuous Integration (CI)
- Continuous Deployment (CD)
- Docker Containerization
- Kubernetes Orchestration
- Infrastructure Monitoring
- Alert Management
- DevOps Automation
- Cloud-Native Application Deployment
Shivani Sharma
GitHub: https://github.com/2121-shivi
Repository: https://github.com/2121-shivi/ecommerce-devops-platform
This project is licensed under the MIT License.