MindTouch Outage History

**Impact Start Time \(UTC\)** - 03/16/2026 12:55 PM UTC **Impact End Time \(UTC\)** - 03/16/2026 01:44 PM UTC ## **Incident Summary** Updated on 03/24/2025 - On 03/16/2026, some NiCE CXone Mpower customers experienced degraded performance and intermittent errors within the CXone Mpower Expert application. The impact was caused by elevated system utilization resulting from increased traffic load, which placed excessive demand on the high-availability load-balancing layer. This led to increased response times and reduced request processing efficiency. The impact was resolved when engineers increased the pod capacity of both the web application tier and the load balancer later, thereby restoring system throughput, stabilizing response times, and returning the platform to normal operating conditions. ## **Root Cause** The impact was caused by elevated system utilization resulting from increased traffic load, which placed excessive demand on the high-availability load-balancing layer. This led to increased response times and reduced request processing efficiency. Further investigation determined that the performance degradation was caused by a combination of constrained application processing capacity and insufficient load-balancing scale under peak traffic conditions. Web worker throughput was limited due to a known performance constraint, which reduced the rate at which incoming requests could be processed. This condition was further amplified by the load balancing layer operating below its expected production capacity, resulting in suboptimal traffic distribution and increased system latency during periods of elevated demand. Engineering teams are implementing targeted preventive actions to improve auto-scaling responsiveness and ensure the timely promotion of critical performance fixes to production. ## **Corrective Actions** **Detection:** Internal teams received alerts indicating increased of high availability load balancer response times. Shortly after, customers reported degraded performance and intermittent errors within the CXone Mpower Expert application. **Remediation:** The impact was resolved when engineers increased the pod capacity of both the web application tier and the load balancer later, thereby restoring system throughput, stabilizing response times, and returning the platform to normal operating conditions. Completed on 03/16/2026. **Prevention:** Engineers will adjust the auto-scaling policies to improve responsiveness and enable more aggressive scale-out behavior during peak traffic periods, ensuring capacity aligns with demand in near real time. An update will be provided by End of Day \(EOD\) MT on 03/26/2026. Engineers will implement auto-scaling for the high-availability load-balancing layer to ensure traffic distribution capacity scales proportionally with application workload. An update will be provided by EOD MT on 03/26/2026. ## **Incident Timeline \(UTC\)** 03/16/2026 12:55 PM \(UTC\) - First customer case opened, and Tech Support \(TS\) engineers began the troubleshooting investigation. 03/16/2026 01:07 PM \(UTC\) - TS engineers notified the Network Operations Center \(NOC\) engineers about the reported customer impact; a major incident was proposed and confirmed. 03/16/2026 01:44 PM \(UTC\) - Impact was resolved after engineers made an increase in available resources and internal tests were successful. Impact and major incident resolved.

**Impact Start Time** 03/03/2026 02:24 PM UTC **Impact End Time** 03/03/2026 05:00 PM UTC **Incident Summary** Updated on 03/11/2026 - On 3/3/2026, some NiCE CXone Mpower customers elevated latency within the CXone Expert application, resulting in delayed retrieval of knowledge-base articles and impacting agents’ ability to efficiently access customer support content. The impact stemmed from a processing latency issue within the application layer. The impact was resolved when engineers restored normal service by scaling up the infrastructure components responsible for handling inbound web requests, ensuring sufficient processing capacity to stabilize throughput and eliminate request bottlenecks. **Root Cause** The root cause stemmed from a processing latency issue for the application layer. The system briefly took longer than usual to handle requests. For a short period, more activity came in than the system typically manages at once, which slowed things down. As a result, some requests took longer to finish and a few timed out, leading to the performance issues customers noticed. **Corrective Actions** _Detection_: Internal support teams received a customer reported issue and confirmed an ongoing latency issue with the CXone Expert application. _Remediation_: Engineers restored normal service by scaling up the infrastructure components responsible for handling inbound web requests, ensuring sufficient processing capacity to stabilize throughput and eliminate request bottlenecks. Completed on 03/03/2026. _Prevention_: The Engineering team developed and deployed a code fix to address an underlying issue with instance scaling. Completed on 03/05/2026. **Incident Timeline \(UTC\)** 03/03/2026 02:24 PM \(UTC\) - First customer case opened, and Tech Support \(TS\) engineers began the troubleshooting investigation. 03/03/2026 04:31 PM \(UTC\) - TS engineers notified the Network Operations Center \(NOC\) engineers about the reported customer impact; a major incident was proposed and confirmed. 03/03/2026 04:35 PM \(UTC\) - Engineers identified a suspected cause and began remediation steps. 03/03/2026 05:00 PM \(UTC\) - Impact was resolved after engineers increased capacity for components responsible for processing web requests and internal tests were successful. Impact and major incident resolved.