Dynatrace Expands Multi-Cloud Ops and Autonomous Intelligence

Dynatrace is expanding its observability platform with new multi-cloud integrations across AWS, Microsoft Azure and Google Cloud, alongside AI-driven automation updates designed to push IT operations toward more autonomous management.

Dynatrace unveils several product updates during its Perform 2026 conference

The updates were announced alongside Dynatrace’s annual Perform 2026 conference and focus on unifying cloud telemetry, performance data, and automation across the three largest public cloud providers. 

The company says the expanded integrations are intended to address the operational challenges enterprises face as workloads sprawl across hybrid and multi-cloud architectures.

For the IT channel, the move reinforces a growing demand for tools that simplify cloud operations while enabling partners to deliver managed observability, optimization, and automation services at scale.

AWS integrations reach general availability as Azure and GCP roll out

Dynatrace’s expanded cloud operations capabilities build on native integrations with AWS, Azure, and Google Cloud. The AWS integration is now generally available, while Azure and Google Cloud integrations are entering preview.

The integrations pull native cloud telemetry, metadata, and service signals into Dynatrace’s platform, where they are correlated using the company’s real-time dependency mapping and unified data lakehouse architecture. 

This approach is designed to give platform and operations teams a consolidated view of application performance, infrastructure health, and cloud resource utilization across providers.

“As organizations continue to expand their cloud environments, the day-to-day reality of keeping applications reliable has become far more complex,” said Jay Snyder, senior vice president of partners and alliances at Dynatrace. 

“Teams are expected to deliver great performance, control costs, and maintain resilience across multiple cloud platforms at the same time. By expanding our cloud automation capabilities across AWS, Azure, and Google Cloud, Dynatrace not only makes it easier for platform teams to see what’s happening across their environments, but also to prevent issues automatically, before they have an impact on customers,” Snyder continued.

From a channel perspective, the ability to monitor and manage multiple clouds through a single platform reduces operational friction for managed service providers and systems integrators supporting customers with complex cloud strategies. 

It also opens the door to standardized service offerings that span multiple hyperscalers without requiring separate tooling stacks.

Autonomous intelligence takes center stage at Perform 2026

Beyond cloud integrations, Dynatrace used Perform 2026 to highlight a broader strategic shift toward autonomous intelligence by moving observability beyond detection and diagnostics toward automated action.

The company introduced new AI-driven capabilities designed to reason over real-time system context and execute actions within defined guardrails. 

These capabilities are intended to support automated remediation, performance optimization, and operational decision-making across cloud and application environments.

This direction reflects a wider industry trend toward agent-based automation in IT operations, where platforms are expected not only to surface insights but also to reduce manual response workloads. 

Real user monitoring updates align frontend and backend insights

Dynatrace also unveiled enhancements to its real user monitoring capabilities, aimed at bridging the gap between frontend user experience signals and backend system telemetry.

By correlating user behavior data with infrastructure and application context, the platform is positioned to help IT teams understand how performance issues affect end users. 

That is a growing requirement as digital experience monitoring becomes increasingly critical in cloud-native and AI-driven applications.

For channel partners, these capabilities can support experience-centric monitoring services, particularly for customers running customer-facing digital platforms where performance degradation directly affects revenue or brand perception.

What the updates mean for channel partners

Taken together, the announcements reinforce two areas of opportunity for the IT channel:

First, managed multi-cloud operations remain relevant as enterprises struggle with visibility, cost control, and reliability across multiple cloud platforms. Unified observability tools enable partners to offer cross-cloud monitoring and optimization services without added complexity.

Second, automation-driven operations services are emerging as a differentiator. As platforms incorporate more autonomous capabilities, partners can build value-added offerings around automation design, governance, and ongoing optimization.