Outsystems incident

Incident affecting Deployments to Production, Application Runtime and End-User Authentication

Major Resolved View vendor source →

Outsystems experienced a major incident on November 11, 2025 affecting Europe / Frankfurt and Europe / Frankfurt and 1 more component, lasting 1h 14m. The incident has been resolved; the full update timeline is below.

Started
Nov 11, 2025, 09:36 AM UTC
Resolved
Nov 11, 2025, 10:50 AM UTC
Duration
1h 14m
Detected by Pingoru
Nov 11, 2025, 09:36 AM UTC

Affected components

Europe / FrankfurtEurope / FrankfurtEurope / Frankfurt

Update timeline

  1. investigating Nov 11, 2025, 09:36 AM UTC

    We are aware of an issue in Europe (Frankfurt) region that is affecting core functionalities in ODC, including timers, deployments to production, and login processes. Our team is currently investigating its cause. We will provide an update as soon as more details are available.

  2. identified Nov 11, 2025, 09:59 AM UTC

    We have identified the cause of this issue. Our team is actively working on a solution and we will provide an update once more details are available.

  3. monitoring Nov 11, 2025, 10:28 AM UTC

    A fix has been implemented and our team is currently monitoring the results.

  4. resolved Nov 11, 2025, 10:50 AM UTC

    The issue affecting multiple ODC functionalities in Europe (Frankfurt) region has been resolved and services are now operating as expected. Thank you for your patience.

  5. postmortem Nov 13, 2025, 12:21 PM UTC

    Customers experienced intermittent service issues with core operations, including deployments and authentication, between 2:58 and 10:40 UTC. The disruption was caused by a core system component reaching its maximum connection limit. Our engineering team successfully identified the issue, implemented a configuration update to increase connection capacity, and fully restored service by 10:40 UTC. We are also conducting a full analysis to understand the unexpected usage increase and are enhancing our monitoring for earlier detection of similar events in the future. We apologize for the inconvenience this may have caused.