Following the We Are Developers World Congress, three primary challenges for deploying AI agents in production emerged: ensuring secure agent containment, implementing robust obser…
Dynatrace has acquired Arize to integrate AI-native tracing, evaluation, and experimentation capabilities with its existing observability platform. This acquisition aims to create …
AI workloads are reshaping SRE and platform engineering by introducing new complexities in managing the reliability, performance, and cost of AI-driven systems. While AI provides s…
To address the challenges of managing distributed, cloud-native databases without dedicated DBAs, Dynatrace has introduced "analysis-first database observability" via its updated D…
This article outlines recent Dynatrace updates, highlighting a new unified topology view in Smartscape and enhanced AI observability through tools like `dt-evals` for LLM evaluatio…
This article explores how LLM evaluations provide a systematic framework for measuring the quality, accuracy, and safety of probabilistic AI models as they move from experimentatio…
`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 software development landscape is shifting into a bimodal era where traditional human-led teams coexist with emerging, AI-agent-led operations. Because AI agents lack visibilit…
Dynatrace has joined the Dell Technologies AI Ecosystem Program to provide end-to-end observability and governance for AI workloads running on Dell's validated infrastructure. This…
Dynatrace provides a unified observability layer to help engineering teams monitor and manage the growing adoption of various AI coding agents, such as Claude Code, Gemini CLI, and…
This article summarizes recent updates to the Dynatrace platform, focusing on improvements to accelerate service troubleshooting and enhance cloud observability. Key additions incl…
Digital systems will continue to grow in scale and complexity in 2026, driven by the rapid adoption of agentic AI, unified telemetry, and cloud-native delivery models. These shifts…