Service Health

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Incident affecting Google Cloud Dataflow

US-Central1: Cloud Dataflow jobs experiencing issues

Incident began at 2022-09-06 09:16 and ended at 2022-09-06 11:09 (all times are US/Pacific).

Previously affected location(s)

Iowa (us-central1)

Date Time Description
6 Sep 2022 11:09 PDT

The issue with Google Cloud Dataflow has been resolved for all affected users as of Tuesday, 2022-09-06 11:09 US/Pacific.

We thank you for your patience while we worked on resolving the issue.

6 Sep 2022 10:59 PDT

Summary: US-Central1: Cloud Dataflow jobs experiencing issues

Description: Mitigation work is currently underway by our engineering team.

We do not have an ETA for mitigation at this point.

We will provide more information by Tuesday, 2022-09-06 11:30 US/Pacific.

Diagnosis: Jobs are stuck and make no progress.

Workaround: Batch jobs can be cancelled and restarted.

6 Sep 2022 10:59 PDT

Summary: US-Central1: Cloud Dataflow jobs experiencing issues

Description: Mitigation work is currently underway by our engineering team.

We do not have an ETA for mitigation at this point.

We will provide more information by Tuesday, 2022-09-06 11:39 US/Pacific.

Diagnosis: Jobs are stuck and make no progress.

Workaround: Batch jobs can be cancelled and restarted.

6 Sep 2022 09:50 PDT

Summary: US-Central1: Cloud Dataflow jobs experiencing issues

Description: We are experiencing an issue with Google Cloud Dataflow.

Our engineering team continues to investigate the issue.

We will provide an update by Tuesday, 2022-09-06 11:30 US/Pacific with current details.

Diagnosis: Jobs are stuck and make no progress.

Workaround: Batch jobs can be cancelled and restarted.

6 Sep 2022 09:16 PDT

Summary: US-Central1: Cloud Dataflow jobs experiencing issues

Description: We are experiencing an issue with Google Cloud Dataflow.

Our engineering team continues to investigate the issue.

We will provide an update by Tuesday, 2022-09-06 09:50 US/Pacific with current details.

Diagnosis: Jobs are stuck and make no progress.

Workaround: Batch jobs can be cancelled and restarted.