rate-limiting

Implement rate limiting in ASP.NET Core by configuring built-in middleware with fixed window, sliding window, or token bucket algorithms. This prevents denial-of-service attacks and ensures fair resource allocation across clients.

Apply differentiated throttling limits by identifying clients via IP addresses, API keys, or authenticated users. This allows stricter rate limits on sensitive endpoints like login while maintaining global limits for general API traffic.

Distributed rate limiting with Redis supports multi-server ASP.NET Core environments. This ensures consistent throttling across all application instances, preventing users from bypassing limits by targeting different servers.

Fixed window limits requests per set time period, sliding window tracks requests within a moving timeframe for smoother limits, and token bucket allows burst traffic by accumulating tokens. Choose based on your API security needs.

Identify client IP addresses behind proxies by configuring ASP.NET Core middleware to read forwarded headers. This ensures accurate client identification for applying rate limits to the correct users rather than the proxy server.

Use token bucket throttling when your API needs to handle burst traffic gracefully, allowing short periods of high request volumes. Fixed window limiting is better for strict, uniform request caps to enforce rigid resource management.