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Davis® AI

  • 1-min read

Davis® is an AI causation engine that detects performance anomalies in your applications, services, and infrastructure. Davis reports and alerts on abnormal situations, such as performance degradations, improper functionality, or unavailability.

Use cases

  • Detect abnormal behavior with static thresholds, autoadaptive thresholds, or complex models such as seasonal baselines.
  • React to and fix anomalies with automated root cause analysis.
  • Retrace problem development from its first appearance to its current status without reproducing errors.

Concepts

Anomaly detection

Learn how Davis® AI can detect abnormal behavior and the mechanisms behind the process.

Root cause analysis

Learn about automated root cause analysis and problem lifecycle.

AI models

Learn how to use AI models to analyze stored metric data and adjust the baseline for more precise anomaly detection.

Integration

Dynatrace Managed MCP server

Connect AI assistants to Managed environments for natural-language access to observability data.

Dynatrace Managed CLI

Query Managed observability data from the terminal for scripts, automation, and AI assistant workflows.

Related topics

  • Metrics API v2
  • Learn more about ways to use Davis AI and Anomaly detection with practical examples