💳 Payment Transaction Monitoring & Analytics System

A high-performance backend system for real-time payment transaction monitoring, processing, and analytics. Built using a microservices architecture with Go, Rust, gRPC, and PostgreSQL to handle high-volume transactions efficiently.

---

🚀 Features

• Real-time transaction ingestion API
• High-performance processing using Rust
• Efficient communication via gRPC
• Aggregated analytics (failure rate,revenue, merchant stats)
• Query APIs for transaction insights
• Health & monitoring endpoints
• Docker-based deployment

---

🏗 Architecture

Payment Client
      ↓
Go API (Ingestion & Validation)
      ↓ gRPC
Rust Processor (Core Engine)
      ↓
PostgreSQL Database
      ↓
Query & Analytics APIs

---

🛠 Tech Stack

• Go (API Layer)
• Rust (Processing Engine)
• gRPC & Protocol Buffers
• PostgreSQL
• Docker

---

📦 Project Structure

/go-service        → API & ingestion layer  
/rust-processor   → Transaction processing engine  
/proto            → gRPC definitions  
/database         → Schema & queries  
/docker           → Docker setup  

---

⚙️ Setup Instructions

1. Clone the Repository

git clone https://github.com/your-username/payment-monitoring-system.git
cd payment-monitoring-system

2. Run with Docker

docker-compose up --build

3. Run Services Manually

Go API

cd go-service
go run main.go

Rust Processor

cd rust-processor
cargo run

---

📡 API Endpoints

Transactions

POST /transactions
GET /transactions?status=FAILED
GET /transactions/{id}

Analytics

GET /analytics/merchant/{merchant_id}
GET /analytics/daily

Monitoring

GET /health
GET /metrics

---

📊 Example Input

{
  "transaction_id": "TXN123",
  "merchant_id": "M456",
  "amount": 2500,
  "status": "SUCCESS",
  "payment_method": "UPI"
}

---

🧪 Testing

• Unit testing for services
• Integration testing (Go ↔ Rust via gRPC)
• Manual testing with sample data

---

📈 Future Improvements

• gRPC streaming for batch ingestion
• Advanced analytics dashboards
• Rate limiting & fraud detection
• Real-time alerts

---

👨‍💻 Contributors

• Aryan Prasad
• Aditya Kumar Thakur

---

📄 License

This project is for educational purposes.