How to scale an integration pipeline 16x without silently corrupting the data
A production engineer details how their integration pipeline went from 500 to 8,000 events/sec (and tens of thousands at peak) without sacrificing correctness. The post centers on two non-negotiable guarantees, no-stale-overwrites and exactly-once semantics, and the throughput levers built to preserve them. Uses live consumer-side metrics, not clean-cluster benchmarks.