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Davis® AI

Dynatrace uses a sophisticated AI causation engine, called Davis®, to automatically detect performance anomalies in your applications, services, and infrastructure. Dynatrace-detected problems are used to report and alert on abnormal situations, such as performance degradations, improper functionality, or lack of availability (that is, problems represent anomalies in baseline system performance).

Basics

  • Davis® AI analysis terminology
  • Event analytics
  • Use percentiles to analyze application performance

Anomaly detection

  • Metric events
  • Detection of frequent issues
  • Prediction-based anomaly detection
  • Automated multi-dimensional baselining
  • Static thresholds for infrastructure monitoring
  • Adjust the sensitivity of anomaly detection
  • Seasonal baseline

Problem analysis and root cause detection

  • Problem lifecycle and important timings
  • Problem impact
  • Problem overview
  • Root cause analysis
  • Impact analysis

On-demand analysis

  • Davis® causal correlation analysis