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Building a Scalable Real-Time Driver Tracking System
- The article discusses building a real-time delivery tracking system for a Zomato-like app using Flutter, NestJS, and Golang for the frontend and backend.
- It focuses on the core tracking logic that is language-independent and provides a GitHub link for the code.
- The prototype allows users to track a driver's live location on a map through WebSocket connections.
- The initial WebSocket setup for tracking drivers' locations is explained, but limitations arise with scalability for a large number of drivers.
- Implementing Redis Pub/Sub enhances scalability by targeting specific users and handling multiple server instances efficiently.
- Redis Streams Adapter further improves reliability, scalability, and message order compared to Redis Pub/Sub.
- The article introduces Kafka for massive scale applications and discusses its role in handling real-time data streams.
- Guidance is provided for frontend developers on interacting with the WebSocket server for tracking drivers' locations.
- A comparison of different approaches including basic WebSockets, Redis Pub/Sub, Redis Streams Adapter, and Kafka is presented with their pros and cons.
- Overall, the article offers insights into building scalable real-time driver tracking systems and future-proofing for enterprise-level applications.
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