Artificial intelligence observability platform company Dynatrace Inc. today announced a set of platform updates at its Perform Conference in Las Vegas that included the debut of Dynatrace Intelligence, a new agentic operations system designed to bring enterprises closer to reliable, autonomous software operations.

The launch marks the next phase in the evolution of the Dynatrace platform by combining deterministic, real-time system intelligence with agentic artificial intelligence that can reason and take action within clearly defined guardrails. The company says the approach is intended to help organizations to move beyond reactive operations towards more autonomous outcomes while also preserving visibility, control and governance across complex environments.

The new Dynatrace Intelligence is built on the company’s Grail data lake house, Smartscape technology and telemetry data to allow AI agents to operate using precise, environment-specific context rather than relying primarily on probabilistic, and sometimes inconsistent, large language model behavior. The system can deliver trustworthy, explainable insights that AI agents can safely act on, even in high-risk enterprise environments.

Dynatrace Intelligence also delivers an ecosystem of AI agents operating at different levels of autonomy.

Foundational agents provide core intelligence and reasoning, while task-specific agents apply that intelligence to domains such as site reliability engineering, development, security and business operations. Ecosystem agents extend the platform into third-party tools and services, including integrations with ServiceNow, Amazon Web Services Inc., Microsoft Azure, Google Cloud Platform, Atlassian, GitHub and Red Hat.

The system supports assisted workflows, where teams interact via natural language and receive deterministic recommendations and more automated workflows, where actions are executed within predefined guardrails.

Dynatrace also today announced expanded cloud operations capabilities that offer deeper cloud-native integrations across AWS, Azure and Google Cloud.

The enhanced capabilities are focused on providing enterprises with a more unified view of complex multicloud environments and consolidating visibility into a single control plane to help teams identify issues faster, reduce disruption and turn operational complexity into a business asset.

Other updates announced today included a focus on improving the developer experience by evolving observability into an active system of control for AI-native software delivery. New capabilities unify front-end, back-end, database, cloud, mobile and AI telemetry into a single developer-facing experience.

The company also introduced next-generation Real User Monitoring capabilities that are designed to unify frontend telemetry with backend context. The updated RUM offering is designed to address blind spots emerging as organizations adopt cloud-native architectures and AI-driven applications.

Rick McConnell, chief executive officer of Dynatrace, spoke with theCUBE, SiliconANGLE Media’s livestreaming studio, in December, when he discussed how Dynatrace is pushing observability into the AI stack:

Image: Dynatrace