At its flagship annual user conference, Perform 2026, Dynatrace, the leading AI-powered observability platform, unveiled expanded cloud-native integrations across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). These enhancements aim to help enterprises manage increasingly complex multi-cloud environments while running AI-driven applications efficiently.

As organizations scale their cloud infrastructure, they face the challenge of balancing performance, resilience, and cost across multiple platforms. In addition, AI-intensive workloads demand real-time monitoring and automation to prevent disruptions. Recognizing this, Dynatrace has extended its integrations to unify visibility across AWS, Azure, and GCP. Consequently, teams can detect and resolve issues faster, reducing risk and improving end-user experiences.

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These capabilities leverage Dynatrace’s industry-leading unified data lakehouse, Grail, alongside the Smartscape real-time dependency graph and Dynatrace Intelligence. Together, they provide actionable insights, automate operations, and help enterprises transform multi-cloud complexity into a strategic advantage rather than an operational burden.

The update strengthens Dynatrace’s Cloud Operations suite, offering enterprises streamlined tools to monitor performance, maintain reliability, and optimize costs across multi-cloud and AI-enabled environments. Key enhancements include:

  • Comprehensive visibility: Expanded telemetry and metadata improve understanding of AWS, Azure, and GCP services, giving teams a clearer view of cloud-native environments.
  • Automated issue prevention: Prebuilt health indicators, alerts, and warning signals help surface potential risks early, including workloads on Azure Kubernetes Service and Azure AI Foundry.
  • Automated remediation: Built-in automation resolves issues immediately, reducing manual intervention and minimizing user impact, regardless of workload location.
  • Automated optimization: Continuous assessment of cloud resource usage enhances performance and cost efficiency across multi-cloud deployments.

Alexandre Demailly, Head of Cloud Architecture Squad at SBS Software, commented, “With the updated cloud solution capabilities from Dynatrace, we are achieving a new standard for cloud operations. With Dynatrace, we have complete visibility into our cloud environments, moving us closer to achieving fully autonomous operations. This allows us to innovate more with less, all while maintaining end-to-end understanding and control of our technology stack.”

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Jay Snyder, Senior Vice President of Partners and Alliances at Dynatrace, added, “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.”

Supporting AWS is now generally available, while Azure and GCP support are in preview. During Perform 2026, AWS will host joint sessions with Dynatrace covering topics such as autonomous issue resolution, real-time observability in developer workflows, and delivering cloud-native observability at scale.

Chris Grusz, Managing Director of Technology Partnerships at AWS, stated, “These expanded integrations help our joint customers operate more efficiently and confidently at scale.” Meanwhile, Steve McDowell, Chief Analyst and Founder of NAND Research, emphasized, “Dynatrace’s expanded cloud-native integrations provide unified observability across the three major cloud platforms, enabling IT teams to manage performance, cost, and reliability from a single pane of glass.”

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