Alert fatigue or alarm fatigue occurs when IT teams are exposed to a large number of frequent alarms (alerts) that consequently become desensitized. It leads to longer response times or missing essential alarms. Large volumes of alarms, especially false ones, result in several unintended outcomes. Some consequences are a disruption in IT services, anxiety in teams, distrust in monitoring systems, and missed critical events. Some additional outcomes include workload increase, communication silos, wasted time, unstable IT, customer dissatisfaction, and unnecessary investigations.
Machine learning-driven IT Ops, assisted by expert intelligence, can curb fatigue and channelize the right resources to the right places at the right time. Consequently, automated operations will reduce the mean time to resolve events, which in turn will boost the customer satisfaction score.