Dynatrace Davis AI

What is Dynatrace Davis AI?

Davis AI is the AI engine of the Dynatrace observability platform. Dynatrace says its causal AI works on the unified Grail data lakehouse and the Smartscape real-time dependency graph to produce consistent insights that can drive automated actions.

Key capabilities of Dynatrace Davis AI

• Causal root cause analysis: pinpoints causes using dependency data
• Predictive alerts: forecasts issues before impact
• Dynatrace Assist: natural language interface to explore data and next steps
• Developer agent: detects anomalies, diagnoses root causes and recommends code-level fixes
• SRE agent: stabilizes cloud and Kubernetes operations
• Security agent: triages findings and starts remediation workflows

How Dynatrace Davis AI works

Dynatrace calls its approach deterministic AI: causal AI produces reliable answers from Grail data and the Smartscape graph, and agentic AI uses those answers to reason toward autonomous operations. Teams ask questions in Dynatrace Assist, and specialized agents handle developer, SRE and security tasks. Remediation runs through workflows and runbooks.

Who uses Dynatrace Davis AI?

Platform engineering, SRE, DevOps and security teams at larger organizations running cloud and Kubernetes workloads use it. A partner ecosystem supports bidirectional collaboration between agents.

Dynatrace Davis AI pricing

The Dynatrace AI page does not state pricing. Dynatrace sells its platform on a usage-based subscription, so cost depends on monitored environment and consumption. Request a quote from Dynatrace for your setup.

Dynatrace Davis AI alternatives

Alternatives include Datadog Bits AI for assistant-driven observability, New Relic AI for query help and insights, ServiceNow Now Assist for IT workflow AI, BigPanda for event correlation, and Resolve.ai for incident resolution agents.