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Incident affecting Google Cloud Dataproc

New Dataproc Deployments May Time Out and Fail

Incident began at 2020-07-15 08:04 and ended at 2020-07-15 09:35 (all times are US/Pacific).

Date Time Description
15 Jul 2020 09:35 PDT

The issue with Cloud Dataproc deployment errors has been resolved for all affected users as of Wednesday, 2020-07-15 09:33 US/Pacific.

We thank you for your patience while we worked on resolving the issue.
15 Jul 2020 08:24 PDT

Description: We are experiencing an issue where deployments to Google Cloud Dataproc are seeing elevated errors and may fail intermittently, beginning at Wednesday, 2020-07-15 05:07 US/Pacific.

Mitigation work is underway by our engineering team. There is no ETA at this point.

For regular status updates, please follow: https://status.cloud.google.com/incident/compute/20006 where we will provide the next update by Wednesday, 2020-07-15 10:30 US/Pacific.

Diagnosis: New deployments may time out and fail.

Workaround: Retry the deployment.
15 Jul 2020 08:13 PDT

Description: We are experiencing an issue where deployments to Google Cloud Dataproc are seeing elevated errors and may fail intermittently, beginning at Wednesday, 2020-07-15 05:07 US/Pacific.

Mitigation work is underway by our engineering team. There is no ETA at this point.

For regular status updates, please follow: https://status.cloud.google.com/incident/compute/20006 where we will provide the next update by Wednesday, 2020-07-15 08:55 US/Pacific.

Diagnosis: New deployments may time out and fail.

Workaround: Retry the deployment.
15 Jul 2020 08:04 PDT

Description: We are experiencing an issue where deployments to Google Cloud Dataproc are seeing elevated errors and may fail intermittently, beginning at Wednesday, 2020-07-15 05:07 US/Pacific.

Mitigation work is underway by our engineering team. There is no ETA at this point.

For regular status updates, please follow: https://status.cloud.google.com/incident/compute/20006 where we will provide the next update by Wednesday, 2020-07-15 08:20 US/Pacific.

Diagnosis: New deployments may time out and fail.

Workaround: Retry the deployment.