rate-limiting

Rate limiting is essential protection against abuse and ensures fair resource distribution across API consumers. Rack::Attack with Redis backing provides a robust, shared state solution that works across multiple application servers. I define differen

Rate limiting prevents API abuse by restricting request frequency per user or IP. Laravel's RateLimiter facade defines limits in RouteServiceProvider. I apply limiters via middleware—throttle:api for the default API limiter. Custom limiters use closur

While Rack::Attack handles basic rate limiting, custom throttling logic gives fine-grained control over quotas, burst allowances, and per-feature limits. I implement a token bucket algorithm in Redis using sorted sets to track request timestamps per u

Rate limiting prevents API abuse and ensures fair resource usage. I implement rate limiting using Bucket4j for token bucket algorithm or Redis for distributed scenarios. Limits apply per user, IP, or API key. HTTP 429 (Too Many Requests) indicates lim