At Perform, its flagship annual user conference, Dynatrace unveiled Dynatrace Intelligence, a new agentic operations system that fuses deterministic and agentic AI.
This differentiated combination delivers reliable, agentic AI-powered observability to customers. Built to observe and optimize dynamic AI workloads, Dynatrace Intelligence empowers organizations to build more resilient applications, elevate customer experiences, and drive autonomous action across modern digital ecosystems.
Dynatrace Intelligence represents the next phase in the evolution of the Dynatrace platform, helping the world’s largest enterprises move from reactive to preventive and advances them toward autonomous operations while ensuring teams remain firmly in control.
Why Dynatrace Intelligence Matters
Organizations are confronting rising complexity as they continue to adopt new technologies. For example, global AI investment is expected to reach nearly $2 trillion in 2026 and organizations are under increasing pressure to show meaningful progress. Yet many struggle with the unpredictable and dynamic nature of AI and agentic systems. Teams must quickly identify unexpected behaviors, understand downstream impact, and deploy fixes before customer experience or business performance suffers.
Dynatrace Intelligence addresses these challenges with deep, real-time visibility into system behavior and performance across cloud and AI-native environments, creating a real-time digital twin. It removes guesswork by fusing the precise deterministic AI insights with reasoning from coordinated AI agents that drive self-healing systems. The result is reliable autonomous action, reduced operational burden, and more time for strategic decision-making.
The Dynatrace Difference: Fusing Deterministic with Agentic AI
Dynatrace Intelligence uniquely combines deterministic AI, grounded in real-time causal context, and agentic AI, capable of safe reasoning, decision-making, and action within defined guardrails.
This system is powered by the Dynatrace 3rd generation platform, including:
- Grail, an industry leading, unified data lakehouse that stores metrics, logs, traces, events, user sessions, and business and security data with precise, contextual integrity.
- Smartscape, the real-time dependency graph that continuously and automatically maps relationships and fuels trustworthy, causal insights.
By anchoring agents in environment-specific facts, Dynatrace Intelligence provides a safer, faster, more reliable foundation for autonomous operations. When Dynatrace benchmarked an external SRE agent working together with its deterministic agents, problems were solved up to 12 times more often, three times faster, and at half the cost compared to tests that did not use deterministic agents.
An Ecosystem of AI Agents
Enterprises can orchestrate built‑in and partner agents, with bidirectional integrations across the broader ecosystem, including ServiceNow, AWS, Microsoft Azure, Google Cloud, Atlassian, GitHub, Red Hat, and more.
The agentic architecture includes:
- Agents that deliver foundational capabilities for trusted operational context through causal reasoning, prediction, and real-time intelligence, and oversight.
- Agents that expand teams by providing insight and guidance to targeted functional areas and personas.
- Ecosystem agents that connect with partner platforms expanding the scope of autonomous action across complex environments.
Advancing Autonomous Operations
With Dynatrace Intelligence, organizations can achieve:
- Self-healing systems in dynamic, AI-driven environments
- Proactive prevention, remediation, and optimization
- Reliable autonomous action, leveraging both built-in agents and collaboration with partner agents, with full visibility and control
Teams remain in command while the system continuously manages operational complexity in the background.
The Journey to Autonomous Operations
Dynatrace Intelligence supports customers on a phased journey toward autonomy. Organizations can start by using AI-driven insights and recommendations, progress to leverage automation for supervised operations with human oversight, and ultimately advance to fully autonomous operations with guardrails and controls. This approach allows customers to safely adopt auto-prevention, auto-remediation, and auto-optimization, while maintaining control and building trust at every step.
“Agentic AI offers enormous potential, but many businesses still struggle to ensure it operates reliably, securely, and with consistent performance in real‑world environments,” said Bernd Greifeneder, Chief Technology Officer and Founder at Dynatrace. “Dynatrace Intelligence fuses deterministic and agentic AI, removing the guesswork and delivering AI‑powered observability organizations can trust.”
“As our digital environment grows more complex, we’re looking to move beyond reactive operations and manual intervention,” said Alexander Bicalho, Senior Director of Engineering at Autodesk. “What Dynatrace is outlining with Dynatrace Intelligence aligns with where we want to go—using trusted data and insights to support more autonomous operations. An approach that connects insight to action, while keeping our teams in control, could significantly improve performance and reliability as we scale. It’s observability that doesn’t just detect problems—it understands them and acts on them reliably.”
“The evolution of observability platforms is moving from manual root cause analysis to preventive operations. Organizations are progressing beyond reactive monitoring toward autonomous operations models that combine deterministic AI with agentic AI systems, with AI agents operating at different autonomy levels to orchestrate workflows across integrated ecosystems that span cloud platforms, development tools, and IT service management systems,” said Stephen Elliot, Group Vice President at IDC.
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