Google Cloud and Temporal preview serverless workers
Google Cloud and Temporal opened a preview integration that runs Temporal Cloud workers on Cloud Run worker pools. Temporal adjusts pool capacity by tracking task-queue delay, and the pool can scale to zero when idle. Workers run in the customer’s project, under its service account and network.
Event / data period: 2026-10-15
Published: · Updated:
The source says pools have no public endpoint, use separate resources per build version, and scale when task latency rises. Google says worker pools list at nearly 40% less per vCPU-hour and GB-hour than request-billed services. That is the providers’ price comparison; actual cost and capacity depend on workload.
Data
Google Cloud and Temporal preview serverless workers
Google Cloud and Temporal opened a preview integration that runs Temporal Cloud workers on Cloud Run worker pools. Temporal adjusts pool capacity by tracking task-queue delay, and the pool can scale to zero when idle. Workers run in the customer’s project, under its service account and network. The source says pools have no public endpoint, use separate resources per build version, and scale when task latency rises. Google says worker pools list at nearly 40% less per vCPU-hour and GB-hour than request-billed services. That is the providers’ price comparison; actual cost and capacity depend on workload.
- · Occurred
Google Cloud and Temporal opened a preview integration that runs Temporal Cloud workers on Cloud Run worker pools. Temporal adjusts pool capacity by tracking task-queue delay, and the pool can scale to zero when idle. Workers run in the customer’s project, under its service account and network.
Google Cloud and Temporal opened a preview integration that runs Temporal Cloud workers on Cloud Run worker pools. Temporal adjusts pool capacity by tracking task-queue delay, and the pool can scale to zero when idle. Workers run in the customer’s project, under its service account and network. The source says pools have no public endpoint, use separate resources per build version, and scale when task latency rises. Google says worker pools list at nearly 40% less per vCPU-hour and GB-hour than request-billed services. That is the providers’ price comparison; actual cost and capacity depend on workload.
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