Resolved after 23 hours 16 minutes, on August 25, 2026.
Service disruption: Learn access issue — 25 August 2026 Summary: Between approximately 12:00 and 17:00 on 25 August 2026, a subset of customers were unable to use Learn after logging in — users authenticated successfully but were then stuck on a loading screen. Other parts of the Kallidus platform, including Learn admin, Manager users, Reports and Perform, were unaffected. Status: Resolved. Service was restored at 17:00, and affected users have been able to log in and use Learn normally since. Cause: A configuration change made at approximately 12:00 increased the size of the authentication data issued at login. For a subset of customers, this pushed that data over a size limit enforced by the browser, causing it to be silently discarded — which left affected users stuck in a login loop with no visible error. Remediation: We identified and reverted the change, and are implementing additional safeguards to detect this class of issue before it reaches customers in future. We apologise for the disruption this caused.
Update timeline
- postmortem Aug 26, 2026, 01:09 PM UTC
Service disruption: Learn access issue — 25 August 2026 Summary: Between approximately 12:00 and 17:00 on 25 August 2026, a subset of customers were unable to use Learn after logging in — users authenticated successfully but were then stuck on a loading screen. Other parts of the Kallidus platform, including Learn admin, Manager users, Reports and Perform, were unaffected. Status: Resolved. Service was restored at 17:00, and affected users have been able to log in and use Learn normally since. Cause: A configuration change made at approximately 12:00 increased the size of the authentication data issued at login. For a subset of customers, this pushed that data over a size limit enforced by the browser, causing it to be silently discarded — which left affected users stuck in a login loop with no visible error. Remediation: We identified and reverted the change, and are implementing additional safeguards to detect this class of issue before it reaches customers in future. We apologise for the disruption this caused.
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