Protecting APIs from abuse while ensuring fair access
API rate limiting controls how many requests clients can make within a time window, protecting services from abuse, DDoS attacks, and noisy neighbors. Implementing effective rate limiting requires understanding token bucket, sliding window, and fixed window algorithms, along with distributed rate limiting in multi-server environments. This is a critical system design skill tested in senior engineering interviews and essential for anyone building public APIs or multi-tenant platforms.