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Temporal Serverless Workers on Cloud Run: Scale workers ahead of demand

Cloud Run integration provides automated scaling for polling-based execution fleets

By GPU Data Hub Desk · GPU Data Hub·Editorial standards·
Temporal Serverless Workers on Cloud Run: Scale workers ahead of demand

Google Cloud has detailed the deployment of open-source Temporal serverless workers on its Cloud Run architecture to improve scaling for distributed systems and artificial intelligence agent workloads. The implementation seeks to resolve the infrastructure overhead and continuous operational costs tied to running polling workers on virtual machines or managed clusters.

Original source

This summary was written by the GPU Data Hub desk from reporting published by Google Cloud Blog on 15 Oct 2026, 16:00. Read the full article at the original publisher.

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