Increased Latency and Intermittent Timeouts in US Control Plane (Admin UI & API)

Update timeline

1. investigating Feb 17, 2026, 03:42 PM UTC

   We are currently investigating elevated latency and intermittent timeout errors affecting the US control plane (app.strongdm.com). Customers may experience slow load times in the Admin UI and delayed or failed/slow API requests. Our engineering team is actively working to identify the root cause and mitigate the impact. We will provide an update as soon as more information is available.

2. investigating Feb 17, 2026, 07:27 PM UTC

   Status Update – Performance Investigation Engineering has rolled back the recent change, and we’ve observed improvement in latency metrics. However, other performance indicators have not shown the same level of improvement. We are continuing to actively investigate the issue to determine the underlying cause. Some incremental improvements may still be observed as we proceed with analysis and mitigation efforts. Look for further updates here. A full Root Cause Analysis (RCA) will be provided once we have identified the cause and implemented a confirmed fix.

3. resolved Feb 17, 2026, 11:28 PM UTC

   We have identified the root cause for the elevated latency and intermittent timeout errors which were affecting the US control plane (app.strongdm.com). There should be no further service-impacts as a result of this event. Engineering is taking steps to prevent such occurrences moving forward, and will provide an RCA within the next 7 days.

4. postmortem Feb 18, 2026, 03:47 PM UTC

   On February 17, 2026, some customers experienced elevated latency in the US Control Plane due to a relatively small number of specific query log requests. These specific requests were searching for a very small subset of queries within a very large dataset, which created significant server load for such a small number of requests. We implemented safeguards to improve log retrieval behavior and restored system performance. These safeguards should not affect normal query retrievals, but will reduce the load of specific query log requests by spreading out the request over a longer time period. Longer term, we are prioritizing other improvements to our query log architecture.