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 is both a security control and an availability control. I use it to slow credential stuffing, login brute force, and noisy scraping without punishing normal use. The trick is keying limits on the right dimensions and emitting metrics so

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