• Dynatrace unveiled Dynatrace Intelligence at its Perform conference, combining deterministic and agentic AI for observability and autonomous operations.
  • The platform includes next-generation Real User Monitoring (RUM) and new cloud-native integrations focused on multicloud environments.
  • Updates aim to unify data, AI-driven insights and monitoring across complex, AI-heavy multicloud stacks.

What Dynatrace announced

Dynatrace introduced Dynatrace Intelligence, a platform that blends deterministic and agentic AI to drive autonomous operations and observability across complex environments. The announcement, made at Dynatrace’s Perform conference, also included next-generation Real User Monitoring (RUM) capabilities and new cloud-native integrations designed for multicloud deployments.

Why this matters

Enterprises running distributed, AI-heavy applications across multiple clouds face growing operational complexity. Dynatrace positions this release as an effort to unify telemetry, apply AI-driven insights consistently, and automate operational responses. By combining deterministic AI (rules and models with predictable outcomes) with agentic AI (autonomous decision-making agents), Dynatrace aims to reduce manual toil and surface issues more proactively.

What’s new: RUM and integrations

The next-generation Real User Monitoring announced alongside Dynatrace Intelligence targets improved visibility into end-user experience across web and mobile applications. While details on specific feature sets were shared at the Perform event, the update is described as part of a broader push to tie user experience telemetry into AI-driven observability.

Cloud-native integrations were also highlighted. These are intended to better connect Dynatrace’s platform with container platforms, managed cloud services, and popular cloud-native tools so telemetry flows freely between environments. The aim is a single pane of glass for monitoring and automation across multicloud estates, where previously teams had to stitch together multiple tools and datasets.

How organizations might use it

Organizations running multi-cloud or hybrid stacks can expect to use Dynatrace Intelligence to centralize data and automate responses to incidents. The combination of deterministic and agentic AI suggests workflows that both explain root causes (deterministic) and initiate remediation steps (agentic), subject to policies and guardrails set by operators. The new RUM capabilities should help tie performance issues back to real user impact.

What to watch next

Dynatrace rolled these updates out at its Perform conference; customers and partners will be watching for availability dates, platform requirements, and integration depth with specific cloud services. Security, governance, and operator controls around agentic actions will be key areas to evaluate before wider adoption.

Overall, Dynatrace Intelligence is positioned as a response to rising multicloud complexity and the need for smarter, more automated observability. The company’s focus on combining different AI approaches and tightening cloud-native integrations signals a broader industry shift toward autonomous operations.

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