Introduction
In this blog, we will design the backend system of a DIGITAL BUSINESS CARD and explore how companies like Popl, Dialo, Mobilo, HiHello, etc. build robust, scalable, and powerful systems. These systems handle everything from QR code scanning to lead notifications, leveraging caching and message queuing to provide real-time updates.
Key Features:
✅ QR Code scanning
✅ Caching for faster retrieval
✅ Asynchronous Processing via Message Queue
✅ Rate limiting & Load Balancing for Performance
High-Level Architecture
This system follows a modular approach to ensure scalability. Let's break down how different components connect to build an optimized system that serves users efficiently.
📌 Client → Sends a request after scanning the QR code
📌 API Gateway → Secures the backend with Rate Limiting, Authentication, etc.
📌 Web Server → Handles business logic
📌 Cache Layer → Stores user data for faster retrieval
📌 Database → Stores users and other information
📌 Message Queue → Ensures asynchronous updates (e.g., notifying users about leads)
📌 Worker → Updates the database and sends lead notifications
System Flow
1️⃣ Client scans QR code, request goes to API Gateway.
2️⃣ API Gateway authenticates & applies rate limiting before forwarding to Web Server.
3️⃣ Business Service processes the request and fetches user data.
4️⃣ If user data is in Cache, return it immediately.
5️⃣ If not found, fetch from Database and update Cache.
6️⃣ Message Queue processes background tasks like updating user DB.
7️⃣ Worker informs users about the scanned user and also update the lead DB.
Is More Scalability & Optimization Possible?
Absolutely! There is always room for improvement. Here are some keywords to think about for further optimization:
🚀 Horizontal & Vertical Scaling
🚀 Sharding
🚀 Advanced Caching Strategies
Conclusion
In this blog, we designed a Digital Business Card backend system, focusing on:
✅ QR-based tracking
✅ Caching for performance
✅ Asynchronous processing using Message Queue & Workers
✅ A scalable & high-performance architecture
This approach ensures that the system remains efficient, fast, and scalable over time.
How would you optimize this further? Let me know in the comments!
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