Execution models and coordination strategies for overlapping or parallel work, including their scheduling, isolation, and failure tradeoffs.
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8 articles in this tag.
A fan-out graph looks fast on the whiteboard. In production it stalls because one branch is slow, one branch fails silently, and the synthesis step merges…
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A plan that reads like a clean numbered list can still deadlock at runtime, because the list never told the scheduler which steps actually depend on which…
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A coroutine that never runs is not a syntax error. It is an object you built and never drove.
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Someone adds concurrency to a slow service and the service gets slower. Throughput drops, latency climbs, and the incident channel fills with timeouts. The…
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One core is pinned at 100%. Fifteen sit idle. You wrap the loop in a pool, run it again, and the wall clock barely moves — or gets worse. Nothing about the…
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A thread pool that scales on network calls and flatlines on arithmetic is not a mystery. It is the Global Interpreter Lock doing exactly what it was…
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A scheduled agent that opens two pull requests for the same dependency bump is not a model problem. It is a delivery-semantics problem wearing a model…
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The demo works. Then you add a second worker, a shared artifact store, and a verifier, and the system starts producing results nobody can attribute,…
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