user
What impact did anomaly detection have on the proactive identification of potential issues in the client’s web apps?
assistant
John implemented anomaly detection for CPU spikes during off-peak hours, which helped identify potential issues before they escalated into major problems. This proactive approach contributed to reducing downtime and improving system stability. Anomaly detection introduced by John enabled early detection of potential issues, preventing outages and maintaining high availability of the client’s web apps.