API Rate Limiting: Strategies, Algorithms, And Free Tools

API rate limiting caps requests per time window to stop abuse and keep costs in check. Most services use a sliding‑window counter (or token bucket for bursts), return 429 Too Many Requests with a retry‑after header, and apply exponential backoff with jitter. Sharing the counters in Redis lets the limit work across multiple servers.