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Browse 4 real-world technical and behavioral interview questions about Throughput. Review scenarios, edge cases, and architectural best practices.
Lag is the integral of arrival rate minus service rate, so establish which of the two moved and whether the consumer is slow or stalled. Check lag per partition before per group, rule out a rebalance loop, and remember that adding consumers beyond the partition count does nothing.
Forecast from the whole spread of observed weekly throughput rather than its average, subtract the rate at which the backlog is growing, and give a date with a confidence attached. Then say plainly whether you are offering a forecast or accepting a commitment, because they are not the same promise.
Batching amortises the memory traffic of reading model weights across many requests, so throughput rises far faster than per-step time does. Continuous batching lets requests join and leave each iteration, but the gain is paid for in tail latency, which is why interactive and bulk traffic want separate pools.
Track throughput, cycle-time distribution and flow efficiency, because they describe the system rather than the estimate. Velocity is denominated in a unit the team defines, so making it a target lets the number rise without any change in delivered output, and it stops measuring anything.