Built with React, Flask, Docker, WebSockets, Jenkins, and Kubernetes.
Inspired by platforms like Vercel, Railway, Render, and Grafana .
DeployX is a modern full-stack DevOps deployment platform designed to simplify application deployment, infrastructure automation, realtime monitoring, and container orchestration. Inspired by platforms like Render, Railway, and Vercel, DeployX provides an intuitive deployment experience with automated GitHub integration, Docker-based runtime management, live deployment pipelines, realtime logs, infrastructure monitoring, and deployment lifecycle controls. The platform combines powerful backend orchestration with a sleek modern frontend to deliver a professional cloud deployment experience for developers and teams.
It provides developers with a complete deployment ecosystem where applications can be:
- 🚀 Deployed instantly
- 🐳 Containerized automatically
- 📊 Monitored in realtime
- 📜 Debugged using live logs
- ⚙️ Managed through a modern dashboard
- ☸️ Scaled using Kubernetes
DeployX simulates real-world production-grade DevOps workflows while maintaining a clean and developer-friendly experience.
DeployX allows developers to:
- Connect GitHub repositories
- Trigger deployments instantly
- Deploy applications automatically
- Redeploy updated codebases
- View deployment status in realtime
- Generate deployment URLs
- Frontend deployments
- Backend deployments
- Dockerized applications
- Multi-service projects
DeployX automatically:
- Clones GitHub repositories
- Detects application frameworks
- Generates Dockerfiles
- Builds Docker images
- Creates isolated containers
- Runs deployments securely
- Consistent environments
- Portable deployments
- Production-ready containers
- Faster deployment lifecycle
DeployX includes a live deployment runtime system powered by:
- Flask-SocketIO
- WebSockets
- Background deployment workers
- Live deployment state updates
queued → cloning → detecting → dockerfile_generating
→ building → deploying → running → liveDeployX provides realtime infrastructure monitoring similar to:
- Grafana
- Prometheus
- Railway
- Render
- Vercel
- CPU utilization tracking
- RAM monitoring
- Network RX/TX tracking
- Container health analytics
- Deployment metrics
- Live infrastructure graphs
- Historical metrics charts
- Realtime metric cards
- Animated charts
- Live container status
- Health indicators
- Runtime monitoring panels
Users can:
- View live deployment logs
- Monitor container output
- Debug failed deployments
- Track build progress
- Watch deployment lifecycle updates
Integrated CI/CD workflows powered by Jenkins allow:
- Automated builds
- Automated testing
- Continuous Integration
- Continuous Deployment
- Deployment pipeline visualization
- Build status tracking
Push Code → Build → Test → Dockerize → DeployDeployX leverages Kubernetes for:
- Container orchestration
- Horizontal scaling
- Load balancing
- Self-healing containers
- Cluster management
- High availability deployments
- Pods
- Services
- Deployments
- Ingress support
- Replica scaling
Frontend (React + Vite)
│
▼
Backend API (Flask)
│
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Realtime Deployment Engine
│
┌────────┼────────┐
▼ ▼ ▼
Docker Jenkins Kubernetes
│
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Monitoring Services
(Prometheus + Grafana)| Layer | Technology |
|---|---|
| Frontend | React + Vite |
| Backend | Flask |
| Realtime Communication | Flask-SocketIO |
| Containerization | Docker |
| CI/CD | Jenkins |
| Orchestration | Kubernetes |
| Monitoring | Prometheus + Grafana |
| Charts | Recharts |
| Animations | Framer Motion |
| API Communication | Axios |
| Styling | CSS3 |
DeployX/
│
├── backend/
│ ├── services/
│ ├── sockets/
│ ├── app.py
│ ├── database.py
│ ├── requirements.txt
│ └── Dockerfile
│
├── frontend/
│ ├── src/
│ │ ├── components/
│ │ ├── hooks/
│ │ ├── pages/
│ │ ├── services/
│ │ ├── styles/
│ │ └── monitoring/
│ │
│ ├── package.json
│ └── vite.config.js
│
└── README.md1. User submits GitHub repository
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2. DeployX clones repository
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3. Framework gets detected
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4. Docker image gets created
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5. Container starts running
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6. Deployment URL generated
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7. Logs & metrics monitored live- Modern DevOps-inspired UI
- Animated dashboard
- Realtime deployment monitoring
- Deployment history section
- Production deployment panel
- Live logs viewer
- Pipeline visualization
- Monitoring charts
- Responsive layout
- Glassmorphism UI
- Interactive animations
DeployX now supports:
- ✅ Live CPU monitoring
- ✅ Live RAM monitoring
- ✅ Live Network RX/TX monitoring
- ✅ Health monitoring system
- ✅ WebSocket-based live updates
- ✅ Realtime charts
- ✅ Historical monitoring data
- ✅ Deployment-specific runtime tracking
- 🔐 User Authentication
- 🌍 Custom Domains
- ☁️ Cloud Deployment
- 📦 Multi-framework support
- 📈 Advanced analytics
- 🔔 Deployment notifications
- 🤖 AI-powered deployment assistant
- 🌐 Team collaboration
- 📊 Advanced infrastructure monitoring
- ♻️ Deployment rollback system
- 📦 Multi-container deployments
- ⚡ Auto scaling engine
- 🛡️ Runtime recovery system
git clone https://github.com/tanvishinde017/DeployX.gitcd backend
pip install -r requirements.txt
python app.pyBackend runs on:
http://127.0.0.1:5000cd frontend
npm install
npm run devFrontend runs on:
http://localhost:5173Build Docker image:
docker build -t deployx .Run container:
docker run -p 5000:5000 deployxhttps://github.com/vitejs/vite.git✔ Modern Dashboard
✔ Production Deployment Panel
✔ Deployment Logs Viewer
✔ Realtime Monitoring Dashboard
✔ Pipeline Visualization
✔ Responsive Navbar
✔ Infrastructure Monitoring
✔ Animated Runtime MetricsContributions are welcome.
You can contribute by:
- Improving UI/UX
- Adding deployment providers
- Enhancing monitoring systems
- Improving CI/CD workflows
- Adding Kubernetes features
- Optimizing backend performance
- Improving realtime infrastructure
This project is licensed under the MIT License.
DeployX is inspired by modern DevOps and deployment platforms:
- Vercel
- Railway
- Render
- Docker
- Jenkins
- Kubernetes
- Grafana
- Prometheus
Building modern DevOps systems and scalable deployment platforms 🚀
If you like this project:
- ⭐ Star the repository
- 🍴 Fork the project
- 🛠️ Contribute improvements
- 🚀 Share DeployX with others