"The enhancements strengthen Dynatrace's Cloud Operations capabilities. First, comprehensive telemetry and metadata improve visibility into AWS, Azure, and Google Cloud services. This helps teams better understand the health and behavior of cloud-native environments. In addition, risks are prevented with ready-to-use indicators of environment health, warning signals, and customizable alerts that flag emerging issues early on. This also applies to workloads on Azure Kubernetes Service and Azure AI Foundry. Built-in automation resolves issues as they arise, reducing manual work and minimizing impact on users."
""Teams are expected to deliver great performance, control costs, and maintain resilience across multiple cloud platforms at the same time," said Jay Snyder, Senior Vice President of Partners and Alliances at Dynatrace. By extending cloud automation capabilities across AWS, Azure, and Google Cloud, Dynatrace makes it easier for platform teams to see what's happening and automatically prevent issues before they impact customers, he said."
Dynatrace introduced integrations for Amazon Web Services, Microsoft Azure, and Google Cloud Platform that consolidate observability into a single view. The integrations enable faster detection and resolution of issues to reduce risks to the end-user experience. The capabilities leverage the Grail data lakehouse, the Smartscape real-time dependency graph, and Dynatrace Intelligence. Four enhancements strengthen Cloud Operations: expanded telemetry and metadata for visibility, ready-to-use health indicators and customizable alerts to flag emerging issues, built-in automation to resolve incidents and reduce manual work, and continuous assessment of resource usage for performance and cost efficiency. AWS support is generally available; Azure and Google Cloud support are in preview.
Read at Techzine Global
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