About
Dynatrace Intelligence is an enterprise-grade AIOps and observability platform built on two complementary AI engines: deterministic causal AI and agentic AI. The deterministic layer leverages the unified Grail data lakehouse and Smartscape real-time dependency graph to deliver precise, trusted insights—turning complex telemetry into actionable answers without guesswork. The agentic layer then acts on those insights, executing autonomous workflows with guardrails for efficiency and reliability. The platform ships with purpose-built agents for three core personas. The Developer Agent auto-detects anomalies, pinpoints root causes with stack-trace enrichment, and proposes code-level fixes in context. The SRE Agent stabilizes Kubernetes and cloud operations by generating deterministic explanations, recommended actions, and auto-enriched incident tickets to eliminate manual triage. The Security Agent triages findings, scores threats, and initiates proactive remediation workflows—all on a shared data and context foundation. Beyond built-in agents, Dynatrace Intelligence integrates with an expanding ecosystem of third-party agents through bidirectional collaboration, extending autonomous actions across the entire technology stack. Dynatrace Assist provides a natural language interface so teams can explore observability data, ask questions in context, and drive action without writing complex queries. Dynatrace Intelligence is built for enterprises managing dynamic, AI-powered environments at scale—helping platform engineering, DevOps, SRE, and security teams shift from reactive operations and manual intervention to confident, autonomous management.
Key Features
- Deterministic Causal AI: Powered by the Grail data lakehouse and Smartscape topology graph, Davis AI delivers precise root cause analysis—turning observability data into trusted, actionable answers rather than probabilistic guesses.
- Autonomous Agentic Workflows: Built-in agents for Developer, SRE, and Security personas automatically detect issues, analyze root causes, and execute remediation workflows with team-defined guardrails for safety and reliability.
- Natural Language Data Exploration: Dynatrace Assist allows teams to query observability data, ask follow-up questions, and drive action through a conversational interface without needing to add manual context to prompts.
- Expanding Agent Ecosystem: Integrates with a growing network of trusted third-party agents for bidirectional collaboration, extending autonomous operations across the full technology stack beyond Dynatrace-native capabilities.
- Autonomous Operations Maturity Path: Provides a guided journey from automated root cause analysis to fully autonomous operations, keeping teams in control with confidence-building guardrails at every stage.
Use Cases
- Autonomous detection and remediation of production incidents in cloud-native and Kubernetes environments without manual SRE intervention
- Code-level bug diagnosis and fix recommendation for developer teams during active incidents, grounded in stack traces and topology data
- Security vulnerability triage and risk prioritization across distributed applications, with automated ticket creation and remediation workflows
- Full-stack observability data exploration using natural language queries to accelerate root cause analysis and on-call investigations
- Enterprise AIOps transformation—shifting operations teams from reactive, manual workflows to autonomous, AI-driven prevention and self-healing systems
Pros
- Deterministic, not probabilistic: Unlike AI tools that surface likely causes, Davis AI uses causal AI grounded in real-time topology and unified data to deliver definitive root cause analysis—minimizing false positives and alert fatigue.
- End-to-end automation: Covers the full incident lifecycle from anomaly detection and root cause analysis through ticket enrichment and code-level fix suggestions, reducing mean-time-to-resolution significantly.
- Team-centric guardrails: Autonomous workflows operate under configurable guardrails, ensuring reliability and compliance while building team confidence as organizations scale toward fully autonomous operations.
- Broad ecosystem integrations: An expanding partner ecosystem enables bidirectional agent collaboration across diverse toolchains, making it suitable for complex, heterogeneous enterprise environments.
Cons
- Enterprise complexity: The platform's depth and breadth of capabilities can be overwhelming for smaller teams or organizations without dedicated platform engineering or observability expertise.
- Opaque pricing: Dynatrace uses consumption-based enterprise pricing that is not publicly listed, making cost estimation difficult without engaging the sales team directly.
- Vendor lock-in risk: Deep reliance on Grail, Smartscape, and the Dynatrace agent ecosystem can create dependencies that make migrating to alternative observability platforms costly and complex.
Frequently Asked Questions
What is Dynatrace Davis AI?
Dynatrace Davis AI (also called Dynatrace Intelligence) is the AI engine at the core of the Dynatrace platform. It combines deterministic causal AI—which provides precise, trusted insights from unified observability data—with agentic AI that can reason and act autonomously to prevent, remediate, and optimize IT operations at scale.
How does Dynatrace Davis AI differ from traditional monitoring or AIOps tools?
Traditional monitoring tools detect symptoms; Davis AI identifies root causes using causal AI grounded in real-time topology (Smartscape) and unified telemetry (Grail). It then goes further by autonomously acting on those findings through agentic workflows, rather than just alerting humans to investigate.
What built-in agents does Dynatrace Intelligence include?
Dynatrace Intelligence ships with three specialist agents: the Developer Agent (detects anomalies, pinpoints root causes, and suggests code-level fixes), the SRE Agent (stabilizes Kubernetes and cloud operations, enriches incident tickets automatically), and the Security Agent (triages vulnerabilities, scores threats, and initiates remediation workflows).
Can Dynatrace Intelligence integrate with tools outside the Dynatrace ecosystem?
Yes. Dynatrace Intelligence supports an expanding ecosystem of third-party agent integrations with bidirectional collaboration. This allows autonomous actions to extend across the full technology environment while operating under the same unified data and context foundation.
Is there a free trial available?
Yes, Dynatrace offers a free trial of its platform. However, full production use is based on enterprise licensing with consumption-based pricing. Contact Dynatrace sales for detailed pricing information tailored to your environment.
