← Friday, October 16, 2026Cloud & infraRelease

Temporal Cloud scales pull-based workers on Cloud Run worker pools

cloud.google.com by Sagar Randive, Aniruddh Chaturvedi 7 min read Editor score 7/10

In preview, Temporal Cloud can size Cloud Run worker pools to queued work, addressing the always-on cost and delayed autoscaling of polling workers. This is a useful pattern for operating queue-driven workloads, including agent workflows, on serverless infrastructure.

What: - Temporal Serverless Workers lets Temporal Cloud scale Cloud Run worker pools to match task-queue work, including scaling to zero when idle.
How: - Workers poll Temporal Cloud; it tracks queues and sets pool instance counts through the Cloud Run Admin API, without connecting to worker instances.
Why it matters: - Pull-based AI and distributed-system jobs can handle bursts without teams operating clusters or autoscalers, while preserving existing worker code.

Temporal Cloud manages worker-pool capacity while workers poll for tasks. Sketched from the article's own text.

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