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Rate limiting controls the number of requests a user can make within a specific time frame, preventing abuse and ensuring API stability. ⚡

🔥 Ways to Implement Rate Limiting:
✅ Using Express Middleware (express-rate-limit) – Set request limits per IP to prevent excessive API calls.
✅ Redis-Based Rate Limiting (rate-limiter-flexible) – Store request counts in Redis for a distributed rate limit (best for scaling).
✅ Custom In-Memory Rate Limiting – Track request timestamps per user/session in memory (not recommended for large-scale apps).
✅ CDN & Reverse Proxy Rate Limiting – Services like Cloudflare, Nginx, or AWS API Gateway handle rate limiting before requests reach the server.
✅ Token-Based Throttling – Implement leaky bucket or token bucket algorithms for dynamic rate control.

💡 Rate limiting helps prevent DDoS attacks, API abuse, and ensures fair resource usage! 🎉

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