- Protects services from overload and denial-of-service abuse
- Ensures fair resource sharing among many clients
- Controls costs by capping expensive API or compute usage
- Improves stability by smoothing traffic spikes
It prevents overload and abuse, ensures fair access, and controls costs by capping how often clients can call a service.
Token bucket, leaky bucket, and fixed or sliding window counters are common rate-limiting algorithms.
Requests are typically rejected with a 429 status and a retry-after hint, asking the client to slow down.
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