Root cause analysis

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.

Concepts

Root cause analysis concepts

Get acquainted with root cause analysis concepts.

Event analysis and correlation

Learn more about the event ingestion and event types.

Detection of frequent issues

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