Production-style three-tier e-commerce application demonstrating modern DevOps practices including CI/CD automation, containerization, Kubernetes orchestration, cloud deployment, infrastructure as code, monitoring, and autoscaling.
β Automated CI/CD Pipeline with Jenkins β Dockerized Multi-Service Architecture β Kubernetes Deployment & Orchestration β AWS Cloud Infrastructure β Infrastructure Provisioning using Terraform β Monitoring with Prometheus & Grafana β Kubernetes Autoscaling Support β Reverse Proxy Configuration β Production-Style Deployment Workflow
Developer
β
GitHub Repository
β
Jenkins CI/CD Pipeline
β
Docker Image Build
β
Kubernetes Deployment
β
AWS Cloud Infrastructure
β
Monitoring with Prometheus & Grafana
| Category | Technologies |
|---|---|
| CI/CD | Jenkins |
| Containerization | Docker, Docker Compose |
| Orchestration | Kubernetes |
| Cloud Platform | AWS |
| Infrastructure as Code | Terraform |
| Monitoring | Prometheus, Grafana |
| Reverse Proxy | Apache |
| Database | PostgreSQL |
| Version Control | Git, GitHub |
- React
- Vite
- TailwindCSS
- Redux Toolkit
- Axios
- React Router
- Node.js
- Express.js
- JWT Authentication
- bcrypt
- Zod Validation
- PostgreSQL
ShopSphere/
β
βββ apache/conf/ # Apache reverse proxy configuration
βββ backend/ # Backend application
βββ frontend/ # Frontend application
βββ db/init/ # Database initialization scripts
βββ docs/ # Documentation
βββ docker-compose.yml # Multi-container setup
βββ README.md
β
βββ k8s/ # Kubernetes manifests
βββ terraform/ # Infrastructure as Code
βββ monitoring/ # Prometheus & Grafana configs
βββ Jenkinsfile # CI/CD pipeline configuration
The CI/CD pipeline automates the entire deployment lifecycle:
- Developer pushes code to GitHub
- Jenkins pipeline triggers automatically
- Application build process starts
- Docker images are generated
- Automated validation and checks run
- Containers are deployed
- Kubernetes updates workloads
- Monitoring stack tracks application health
docker compose up -d --buildhttp://localhost:5173
http://localhost:4000/health
http://localhost:4000/api/v1
kubectl apply -f k8s/kubectl get pods- Collects infrastructure and application metrics
- Monitors container and Kubernetes performance
- Visualizes monitoring dashboards
- Displays CPU, memory, network, and application metrics
Terraform is used to provision and manage infrastructure resources, enabling:
- Automated provisioning
- Scalable infrastructure management
- Consistent deployments
- Cloud resource automation
- JWT Authentication
- Password Hashing using bcrypt
- Helmet Security Middleware
- Input Validation using Zod
- Environment Variable Protection
- Secure API Practices
- Kubernetes Horizontal Pod Autoscaling
- Stateless containerized architecture
- Independent service deployment
- Scalable cloud infrastructure design
Add screenshot here
Add screenshot here
Add screenshot here
Add screenshot here
Add screenshot here
This project demonstrates practical experience with:
- CI/CD Automation
- Cloud-Native Application Deployment
- Kubernetes Orchestration
- Infrastructure as Code
- Monitoring & Observability
- Docker Containerization
- Reverse Proxy Configuration
- Production Deployment Workflows
- GitHub Actions Integration
- ArgoCD GitOps Workflow
- ELK Stack Logging
- Blue-Green Deployment Strategy
- HTTPS & SSL Automation
- Service Mesh Integration
Aspiring DevOps Engineer focused on:
- Cloud Infrastructure
- Automation
- Kubernetes
- AWS
- Scalable Deployments
- Production-Grade DevOps Workflows
If you found this project useful, consider giving it a star β