Google Cloud Dataflow made batch-job Pause/Resume generally available, allowing failed long-running jobs to resume instead of restarting.

Google Cloud announced the general availability of Pause/Resume for Dataflow batch jobs. Dataflow supports both batch and streaming pipelines, but this feature’s stated scope is batch processing.

Google explains that some customer batch jobs run for several days and that, before this feature, failed jobs required a complete retry because users could not access the work already processed. Pause/Resume allows customers to resume failed long-running jobs rather than restart them from scratch.

The feature also permits deliberate pauses and resumptions according to business requirements. Google identifies reallocating accelerated resources—such as GPUs and tensor processing units (TPUs)—from lower-priority batch jobs to higher-priority feature-engineering or inference workloads as a supported use case, without providing a quantified savings benchmark.