Outage in Observe

Delayed Data Ingestion – Some Datasets May Be Temporarily Stale for US East (N. Virginia)

Resolved Minor
June 03, 2025 - Started 11 days ago - Lasted about 5 hours
Official incident page

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Outage Details

We are currently experiencing ingest delays that may cause some datasets to appear temporarily stale. Our team is actively investigating the issue and working to restore normal data freshness as quickly as possible.
Latest Updates ( sorted recent to last )
RESOLVED 10 days ago - at 06/03/2025 07:49PM

This incident has been resolved.

MONITORING 10 days ago - at 06/03/2025 07:32PM

Fix has been applied to address the root cause. We will continue to monitor for a period of time and then mark this incident as resolved.

IDENTIFIED 10 days ago - at 06/03/2025 07:09PM

The hotfix is currently being deployed. We will provide an update once the deployment is complete and the fix has been validated.

IDENTIFIED 10 days ago - at 06/03/2025 06:37PM

We've identified a potential fix and completed testing. The hotfix is currently being deployed. We will provide an update once the deployment is complete and the fix has been validated.

IDENTIFIED 10 days ago - at 06/03/2025 06:02PM

The root cause of the issue has been identified and engineering is working on testing and verifying a fix that addresses the root cause.

INVESTIGATING 10 days ago - at 06/03/2025 05:31PM

Ingest lag has been mitigated and data is being ingested at normal rates. Observe's engineering team is continuing to investigate the root cause of the issue. We will post updates here as we make progress.

INVESTIGATING 10 days ago - at 06/03/2025 05:03PM

We are continuing to investigate this issue.

INVESTIGATING 10 days ago - at 06/03/2025 05:02PM

Data is now being ingested normally without lag. We are continuing to investigate the root cause.

INVESTIGATING 10 days ago - at 06/03/2025 04:27PM

We are continuing to investigate this issue.

INVESTIGATING 11 days ago - at 06/03/2025 03:27PM

We are currently experiencing ingest delays that may cause some datasets to appear temporarily stale. Our team is actively investigating the issue and working to restore normal data freshness as quickly as possible.

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