Railway deployments were delayed for approximately 2.9 hours after a Google Cloud infrastructure issue beginning around 14:53 UTC caused elevated internal errors that congested Railway's deployment processing pipeline. Deployments were temporarily paused during mitigation efforts, leaving a backlog of queued deployments. The pause was lifted and normal deployment processing resumed, with residual delays expected as the queue drained.
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The deployment pause has been lifted and the backlog of queued deployments is clearing. New deployments are being accepted and processing again, though some delays may persist as the queue continues to drain.
We are continuing to monitor the situation and will provide further updates.
We have identified that a Google Cloud infrastructure issue is contributing to deployment delays. Our backend services experienced elevated internal errors from Google Cloud beginning around 14:53 UTC, which caused our deployment processing pipeline to become congested. We have made adjustments and it is starting to improve but still delayed. We will provide further updates as the situation develops.
We have identified that a Google Cloud infrastructure issue is contributing to deployment delays. Our backend services experienced elevated internal errors from Google Cloud beginning around 14:53 UTC, which caused our deployment processing pipeline to become congested.
We are actively working to mitigate the impact and restore normal deployment throughput. As we do this deployments will be temporarily paused at times and slower. We will provide further updates as the situation develops.
We have identified that a Google Cloud infrastructure issue is contributing to deployment delays. Our backend services experienced elevated internal errors from Google Cloud beginning around 14:53 UTC, which caused our deployment processing pipeline to become congested.
We are actively working to mitigate the impact and restore normal deployment throughput. We will provide further updates as the situation develops.
We are aware of an issue causing deployments to queue and take longer than usual to progress. Users may experience delays in deployments starting or completing.
We are actively investigating the root cause and will provide updates as we learn more.
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