TLDR Tech / DevOps
Job queues are deceptively tricky
Job queue behavior depends on more than scheduling intervals and concurrency limits. When a scheduled job is still running, systems must decide whether to start another copy, cancel the existing job, queue the new one, or drop the new request, and each choice encodes different assumptions about failure, backlog growth, and whether stale or missing results are acceptable. Explicit queue bounds, runtime limits, scheduling semantics, and fault models help prevent runaway backlogs, wasted compute, and jobs that repeatedly cancel before completing.
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