Dynatrace and AWS are enhancing observability through a new integrated workflow that connects automated issue detection with AI-powered investigation and resolution. By linking Dyn…
The Dynattrace SaaS 1.341 release introduces significant enhancements to Smartscape topology, including a new "All topology view" and improved ad-hoc filtering capabilities. Additi…
Dynatrace’s Cloud SRE Agents app provides a unified orchestration layer that integrates AWS, Azure, and Google Cloud AI agents to automate incident investigation and resolution acr…
The Kiro power for Dynatrace integrates live observability data, root cause analysis, and remediation suggestions directly into the Kiro AI-powered IDE. This integration allows dev…
By integrating Dynatrace observability data directly into AWS’s Kiro AI-powered IDE, NAIC has eliminated the productivity loss caused by context switching between development and m…
`dt-evals` is an open-source CLI tool designed to evaluate the quality and safety of LLMs and agents by analyzing real GenAI traces using a "LLM-as-a-judge" approach. By integratin…
The rise of autonomous AI agents requires a shift from traditional, probabilistic observability—which relies on human-centric correlations—to a deterministic, context-driven archit…
Dynatrace Managed version 1.340 introduces redesigned Network and Disk interface pages for enhanced infrastructure observability, along with configurable log retention and storage …
Business observability transcends traditional technical monitoring by directly linking system telemetry to key organizational outcomes, such as revenue, customer experience, and op…
The new Dynatrace MCP Server integration enables Port AI to correlate live production data from Dynatrace with signals from GitHub, Slack, and the Port service catalog. This allows…
The Dynatrace SaaS 1.340 release introduces advanced Cost Intelligence tools designed to help users proactively understand, predict, and optimize their usage costs through actionab…
Dynatrace OneAgent version 1.339 introduces significant enhancements to AI observability, specifically adding automatic instrumentation for Python GenAI frameworks such as OpenAI, …