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Is it down?
Vol. I No. 26 Saturday, October 17, 2026 Closing 12:53 PM UTC · next edition 10:00 AM UTC

Is Astronomer down?

No open incidents

No open incidents in its feed as of Oct 17, 2026, 12:53 UTC. The latest, "Astro UI and API are appearing offline for some users" (reported Oct 13, 2026, 18:02 UTC), is marked Resolved.

Read from Astronomer's own status feed when this page was built, Oct 17, 2026, 12:53 UTC. The paper rebuilds it with each edition, once a day at 10:00 UTC, so it is not live: for the state right now, open the official status page.

Recent incidents

The newest 4 the paper has read from the feed, each linking to Astronomer's own page for it. A state is as the feed gave it when last read.

  1. Oct 13, 2026, 18:02 UTCResolvedMajor impactAstro UI and API are appearing offline for some users

    The Astro Core API is showing an elevated number of errors. We are investigating actively and will update as soon as we know more. Next update will be within the next 30 minutes.

  2. Oct 6, 2026, 03:33 UTCInvestigatingMinor impact as last read Oct 12, 2026Capacity constraints in GCP us-central1 may delay or fail some task executions

    We are currently seeing a capacity shortage in the Google Cloud (GCP) `us-central1` region. As a result, some Deployments running in this region may experience delays when scaling up worker nodes and pods. Some tasks may remain in a queued state for longer than usual while waitin…

  3. Oct 3, 2026, 20:42 UTCResolvedMinor impact as last read Oct 10, 2026Dag success/failure Astro Alert emails missing deployment & workspace names

    We have identified a recent change that broke the templating of the deploymentId and workspaceId fields used in the Astro Alert emails for Dag Success and Failure emails. We are working on a fix and will provide updates shortly.

  4. Oct 1, 2026, 22:40 UTCResolvedCritical impact as last read Oct 8, 2026Tasks getting stuck in the queued state and failing

    We have identified several hosted deployments where tasks are getting stuck in the queued state and failing. This is happening the worker autoscaler is having issues with scaling up workers to run tasks. We are investigating the cause of this.