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Anomaly detection in Dynatrace Classic

  • Dynatrace Classic
  • Overview
  • 2-min read

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.

Use cases

  • Use metric events to get alerted about problems in your environment.
  • Configure manually or use an auto-adaptive threshold to detect abnormal behavior.
  • Set up alerts for custom events.

Concepts

Auto-adaptive thresholds for anomaly detection in Dynatrace Classic

How Dynatrace adapts thresholds for multiple entities within the scope of an anomaly detection configuration.

  • Explanation
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Static thresholds for anomaly detection in Dynatrace Classic

When to use a static threshold for your anomaly detection.

  • Explanation
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Anomaly detection configuration in Dynatrace Classic

How to set up an alert for missing measurements.

  • Explanation
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Automated multi-dimensional baselining in Dynatrace Classic

Learn how Dynatrace AI automatically calculates baselines based on a multi-dimensional baselining scheme.

  • Explanation
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Getting started

Adjust the sensitivity of anomaly detection in Dynatrace Classic

Learn how to adapt the sensitivity of problem detection in Dynatrace.

  • Explanation
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Metric events

Learn about metric events in Dynatrace

  • Overview
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Related tags
Dynatrace Platform