Rate Limiter

Implement rate limiting in FastAPI using token bucket, sliding window, or tiered quota strategies to manage request volume and prevent API abuse. The Skill integrates with existing middleware patterns to maintain service stability.

The best way to limit Next.js API route traffic is using Redis for distributed limiting alongside algorithms like sliding windows. This approach controls traffic at the edge or backend while providing standard headers and Retry-After feedback to clients.

Yes, you need Redis to apply distributed rate limiting strategies across multiple application instances. Redis synchronizes request counters for token bucket and sliding window algorithms, ensuring consistent traffic control across your FastAPI or Next.js deployment.

Yes, you can set different rate limits for specific endpoints in FastAPI using tiered quotas. For example, you can restrict login attempts to 5 per minute per IP to prevent brute-force attacks while allowing 60 general API requests per minute.

The token bucket algorithm handles sudden bursts of API traffic by accumulating tokens over time up to a maximum capacity. Requests consume tokens, allowing temporary traffic spikes while enforcing a strict average rate limit to protect your FastAPI and Next.js applications.

You return Retry-After headers by configuring the rate limiter to provide clear feedback to clients when limits are exceeded. The Skill automatically includes standard headers and Retry-After mechanisms, informing clients exactly when they can safely retry their blocked requests.