Where can you find options to detect frequent issues in an application?

The option that leads to the features for detecting frequent issues in an application is found in the Anomaly detection settings. This area is specifically designed to help users identify deviations from typical performance patterns, which can indicate that something is not functioning as it should. Anomaly detection utilizes machine learning algorithms to analyze data and recognize patterns over time, alerting users when anomalies occur that might represent frequent issues.

This capability is crucial for proactive monitoring, as it enables teams to address potential problems before they escalate into more significant operational disruptions. By leveraging this feature, teams can effectively manage performance and user experience by quickly identifying and resolving underlying issues based on historical data trends.

Other options, while they may pertain to various aspects of monitoring and configuring environments, do not specifically target the detection of frequent issues as comprehensively as the Anomaly detection settings.