AI Trace
Data AnalysisVerified

Reviewed and published by trentmaziarz, July 11, 2026. Discovered and drafted by our automated research pipeline.

Dynatrace deployed Davis AI, an engine that automatically scans IT environments to detect performance anomalies and pinpoint their root cause — without a human having to manually dig through logs or alerts. When something goes wrong in a cloud application or infrastructure, the system identifies the precise source of the problem and notifies operations teams.

Details

Davis AI uses causal AI (a form of AI that traces cause-and-effect relationships) to automatically evaluate metrics, logs, traces, and topology data across an organization's IT stack. It ingests over 80 built-in system event types and correlates related anomalies into a single problem report, reducing alert overload. The root cause analysis engine traverses Dynatrace's Smartscape topology graph — a real-time map of how software components depend on each other — to produce deterministic, explainable problem diagnoses for operations teams.

Products affected

Davis AIDynatrace PlatformDynatrace Intelligence

Sources & Evidence

Cite this record

Trace Foundation. (2026). Dynatrace: Dynatrace deployed Davis AI, an engine that automatically scans IT environments to detect performance anomalies and pinpoint their root cause — without a human having to manually dig through logs or alerts. When something goes wrong in a cloud application or infrastructure, the system identifies the precise source of the problem and notifies operations teams (data as of 2026-07-11) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/320bc304-ae1f-4483-ae35-20eee77eb18e. Accessed October 10, 2026.

Stable link
https://www.aitrace.org/r/practice/320bc304-ae1f-4483-ae35-20eee77eb18e
Data as of
July 11, 2026
Last verified
Not recorded

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