Dynatrace has unveiled a series of updates focused on what it refers to as Dynatrace Intelligence, featuring enhanced integrations with major public cloud platforms and new capabilities in Real User Monitoring.
These updates were highlighted during the company’s annual Perform user conference in Las Vegas. Dynatrace emphasized the importance of agentic AI, cloud operations, and developer tools. The company also shared examples of successful implementations, including the TELUS deployment.
The latest product enhancements aim to address the challenges organizations face with increasing volumes of operational data and an ever-evolving technological landscape. Additionally, many enterprises feel the need to incorporate AI into their operations and products.
Dynatrace Intelligence
Introducing Dynatrace Intelligence, the company describes this as a new phase of its platform. It is positioned as a blend of deterministic intelligence and agentic AI.
The deterministic aspect relies on “real-time causal context,” while the agentic component is designed to “reason, decide, and take action within prescribed guardrails.”
Data is stored and unified within Grail, with Smartscape adding a “causal topology” that continuously enriches this data. Dynatrace believes this approach enhances the explainability and reliability of insights.
Agents and Workflows
In addition, Dynatrace has introduced Dynatrace Intelligence Agents. These agents are capable of executing actions across various workflows, a method the company terms “agentic operations.”
These agents are focused on achieving “closed-loop autonomous outcomes across IT and business operations.” Customers can also deploy specialized agents that collaborate across distinct responsibilities and domains.
Cloud Integrations
Dynatrace announced enhanced cloud-native integrations with Amazon Web Services, Microsoft Azure, and Google Cloud Platform. These updates aim to deliver a more cohesive view across multi-cloud environments.
The refreshed integrations aim to consolidate visibility, allowing teams to pinpoint and resolve issues more swiftly, minimizing disruptions for end users.
This focus on cloud operations is integrated with the Grail data layer, Smartscape dependency graph, and Dynatrace Intelligence, applying AI to navigate the “growing complexity” in contemporary environments.
Developer Tooling
Updates aimed at improving the developer experience have also been announced. These modifications evolve observability into “an active system of control for cloud and AI-native software delivery.”
The revamped experience merges frontend and backend telemetry with AI telemetry, database information, cloud data, and mobile data, building upon Grail, Smartscape, and Dynatrace Intelligence.
Dynatrace also discussed “agentic and LLM-driven applications,” emphasizing a “production-first” strategy. This approach allows both humans and AI agents to “reason about live system behavior,” enabling teams to “safely experiment in production” and respond to risks without needing redeployments or manual intervention.
Customer Examples
During the conference, Dynatrace showcased various customers from diverse industries who successfully utilized Dynatrace AI Observability for initiatives centered on business growth.
The company characterizes its platform as “the control plane for AI in production,” enabling visibility and governance as customers implement agentic AI on a large scale. TELUS is one example of such use.
Real User Monitoring
Dynatrace also introduced what it labels as next-generation Real User Monitoring. This new offering merges front-end telemetry with back-end context.
The company noted that traditional RUM tools are “hitting limitations” as organizations transition to cloud-native architectures and develop AI-driven applications utilizing large language models and other AI technologies.
This approach permits users to analyze front-end data alongside logs, metrics, traces, and business events on a single platform, thereby enhancing end-to-end visibility and expediting troubleshooting.
“Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets,” stated Rick McConnell, CEO of Dynatrace.
Further updates regarding agentic AI and additional product features are expected to be detailed during sessions at Perform.
