Dynatrace Blog
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Dynatrace Release Radar 05.26
Moving from insight to action: How Dynatrace and AWS are reshaping cloud operations
Quit trying to keep up with every new AI tool and keep building
Smarter, safer Agentic AI: Dynatrace observability meets NVIDIA AI-Q
Your business applications are at risk: Introducing in-context security findings for Kubernetes
Multicloud HIPAA compliance for healthcare: Dynatrace now supports AWS, Azure, and GCP
Beyond LLM-as-a-judge: Establishing LLM evaluations as a foundation for trustworthy agentic AI systems
Log management for AI workloads: How to bring your logs and telemetry plan into the AI-first century
Building in the open: How Dynatrace invests in open source to move the industry forward
How AI workloads are changing what logs must deliver, forcing a new strategy
Dynatrace Release Radar 05.26
Moving from insight to action: How Dynatrace and AWS are reshaping cloud operations
What’s new in Dynatrace SaaS version 1.341
Orchestrate multicloud AI agents for autonomous incident resolution
Dynatrace observability is now a Kiro power
From reactive to proactive: How NAIC embedded AI‑powered observability directly into the IDE
Evaluate LLM and agent quality in Dynatrace AI Observability with dt-evals
Beyond correlation to autonomous action: Why “good enough” observability fails in the age of agentic AI
Dynatrace Managed release notes version 1.340
The rise of business observability
Port and Dynatrace: One-prompt incident triage with the Dynatrace MCP Server
What’s new in Dynatrace SaaS version 1.340
OneAgent release notes version 1.339
The silent network killer: Preventing Azure SNAT exhaustion with Dynatrace
OpenTelemetry graduates: A milestone for the observability Open Source community
