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Root cause analysis

  • 1-min read

Davis® AI root cause analysis automatically evaluates all captured and ingested information and highlights entities within the causal topology identified as the root cause of a complex situation. It offers a context-aware approach that uses available context information, such as the code-level information topology, to determine the precise cause of the issue.

Use cases

  • Save time by including all relevant anomalies and ranking root cause contributors to determine the primary cause.
  • Reduce the alert load by combining multiple connected anomalies into a single problem.
  • Improve the precision of root cause analysis using all the available data from multiple sources.

Root cause analysis concepts

Learn about automated root cause analysis and the problem lifecycle.

Event analysis and correlation

Gain an understanding of the Events section on each host, process, and service overview page.

Detection of frequent issues

Understand how Dynatrace detects and manages recurring problem patterns as frequent issues.