advanced~2h
Quotas and Throttling
Protect a shared Kafka cluster from a single noisy client by enforcing byte-rate and request-rate quotas, and learn to diagnose a client that's being throttled.
Learning objectives
- Beginner: Explain why a shared Kafka cluster needs quotas at all, using a noisy-neighbor scenario.
- Beginner: Distinguish a producer byte-rate quota from a consumer byte-rate quota.
- Intermediate: Configure a per-client-id byte-rate quota and a request-percentage quota.
- Intermediate: Explain what actually happens on the wire when a client exceeds its quota — throttling, not rejection.
- Advanced: Diagnose a client experiencing elevated latency and determine whether quota throttling is the cause, using broker metrics.
- Advanced: Design a quota strategy for a multi-tenant cluster that balances fairness against any one tenant's legitimate burst needs.
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Quotas and Throttling