Job queues hide reliability traps you’re probably ignoring
Job queues do more than throttle throughput—they decide what to do when a scheduled run is still active. Choices like spawning a parallel copy, cancelling the old run, queuing the new task, or dropping it outright each carry subtle reliability risks. Understanding these trade‑offs prevents hidden failures in CI pipelines and data‑processing workloads.