"Dynatrace has announced new developer tools and agentic AI capabilities. This should enable the observability platform to evolve from passive insights to an intelligent control layer that guides and protects software delivery in real time. Cloud-native architectures, AI assistance, and agentic systems accelerate software releases, but also bring new challenges. According to recent research by Dynatrace, product development is the fastest-growing use case for agentic AI."
"That requires more than just visibility. Teams need real-time control to act with confidence, manage risk, and keep applications stable at enterprise scale. Dynatrace's new capabilities unite frontend, backend, AI telemetry, databases, cloud, and mobile in a single developer-centric experience. The modernized frontend experience bundles RUM data in Grail, Dynatrace's central data lakehouse. New apps, including Error Inspector, are designed to give developers deeper insight into real user behavior and enable them to troubleshoot problems faster."
"For mobile developers, new diagnostics will help them locate Application Not Responding (ANR) events and crashes more quickly. This context should speed up debugging and improve app stability. Dynatrace is also building directly on its acquisition of DevCycle earlier this month. That tool brings feature-level runtime controls that continuously validate behavior, reduce risk, and automatically respond to issues from development to production. In addition, Dynatrace is introducing end-to-end traces that link AI calls, application services, databases, and cloud infrastructure."
Dynatrace expanded its platform with developer tools and agentic AI that shift observability from passive insights to an active control layer for real-time software delivery. The company emphasizes the need for real-time control across cloud-native, AI-assisted, and agentic systems to manage risk and maintain enterprise-scale stability. New frontend features combine RUM data into Grail and add apps like Error Inspector for faster troubleshooting. Mobile diagnostics target ANRs and crashes to speed debugging. The DevCycle acquisition adds feature-level runtime controls for continuous validation and automated responses. End-to-end traces will link AI calls, services, databases, and cloud infrastructure to clarify growing trace volume.
Read at Techzine Global
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