Outage in FullStory
Metric Alerts Firing Incorrectly
Resolved MinorIncident Report
Summary AI Generated
FullStory experienced an issue where Metric Alerts were firing incorrectly, triggering notifications even when the underlying metrics had not actually breached their configured thresholds, affecting customers in both EU and NA data centers. The problem was caused by a feature flag introduced during the multi-metric support rollout that caused alert evaluations to diverge from actual metric values. The issue was resolved after 3.3 hours by addressing the problematic feature flag.
We are investigating an issue where Metric Alerts are triggering at thresholds that do not match the underlying metric data for customers in both our EU and NA data centers. Customers may be receiving alert notifications that appear to fire incorrectly or more frequently than expected.
Our engineering team has been notified and is actively investigating. We will provide an update as soon as we have more information.
We apologize for the disruption and appreciate your patience.
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Latest Updates ( sorted recent to last )
RESOLVED
8 days ago - at 06/11/2026 04:45PM
As of 9:36 AM ET on June 11, 2026, this issue is resolved. A feature flag introduced as part of our multi-metric support rollout caused alert evaluations to diverge from actual metric values, resulting in Metric Alerts firing incorrectly even when the underlying metric had not breached its threshold.
Start time of this issue:
Multi-Metric Beta customers: June 4, 2026 at 10:27 AM ET
All other customers using Metrics with division: June 10, 2026 at 4:25 PM ET
If you continue to receive alerts you believe are incorrect, please reach out to us at support@fullstory.com. We apologize for the disruption.
INVESTIGATING
8 days ago - at 06/11/2026 01:28PM
We are investigating an issue where Metric Alerts are triggering at thresholds that do not match the underlying metric data for customers in both our EU and NA data centers. Customers may be receiving alert notifications that appear to fire incorrectly or more frequently than expected.
Our engineering team has been notified and is actively investigating. We will provide an update as soon as we have more information.
We apologize for the disruption and appreciate your patience.
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