Operating Temporal in Production

Task Queue lanes, Worker pools, visibility, priority — and where Temporal ends

AgentRun leaves the laptop. Task Queues become compute lanes with their own Worker pools; backlog becomes the scaling signal; Search Attributes and the UI answer what any run is doing; Priority and Fairness arbitrate which queued work reaches a shared GPU lane, while the compute platform still owns GPU placement and lifecycle. And the boundary question: Temporal decides where execution logically is — Kubernetes, Kafka and Postgres still own what they own.

Estimated time: 70 minutes

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