Dynatrace continuously monitors the performance of every aspect of your applications, services, and infrastructure to automatically learn all baseline metrics and the overall health of each component in your environment, including the response times of your applications and services. Variables such as geolocation, browser type, operating system, connection bandwidth, and user actions are factored in automatically. This intelligent automated baselining allows Dynatrace to detect anomalies at a highly granular level and to notify you of detected problems in real time. You can customize the thresholds generated through automated baselining either by adapting the sensitivity of problem detection or, if necessary, by defining your own static thresholds.
Learn about anomaly detection configuration, its components and setting up an alert for missing measurements.
Learn how Davis adapts thresholds for multiple entities within the scope of an anomaly detection configuration.
Learn how Dynatrace AI automatically calculates baselines based on a multi-dimensional baselining scheme.
Learn how and when to use a static threshold for anomaly detection.
Learn about anomaly detection configurations in your environment.
Learn how to create an anomaly detector in Davis Anomaly Detection app.
Learn about metric events in Dynatrace.
Learn how to adapt the sensitivity of problem detection in Dynatrace.
Learn about other ways to set up alerts for specific events or data summaries collected over a period of time.
Use the power of DQL to convert any data into time series for Anomaly Detection analyzers.