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Google Cloud Dataproc Incident #20004

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
Jul 15, 2020 09:35

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.

Jul 15, 2020 08:24

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.

Jul 15, 2020 08:13

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.

Jul 15, 2020 08:04

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.

  • All times are US/Pacific