How Observability transforms vibe coding into AI engineering
To transform unreliable AI-generated code into production-ready software, organizations must move beyond simple prompting toward a multi-layered approach involving structured plann…
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Observability
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Get real service insights in minutes with the QuickStart app, Dynatrace Free Trial, and dtwiz CLI
Dynatrace has introduced the QuickStart app and dtwiz setup wizard to provide a streamlined, zero-config onboarding experience for new users and free trial participants. These tool…
Seeing the core clearly: Dynatrace mainframe monitoring meets IBM z17
The launch of IBM z17 introduces advanced AI and automation capabilities to mission-critical enterprise workloads, but this increased complexity creates new observability challenge…
New Relic Ground Truth
Current AI assistants in software operations struggle because they possess vast amounts of telemetry but lack the essential operational context needed to understand complex system …
New Relic Autopilot Brings Autonomous Operations to Life
New Relic Autopilot evolves observability into "autonomous operations" by moving beyond simple data collection toward continuous operational reasoning. By analyzing telemetry, depl…
Dynatrace named a Leader in the 2026 Gartner® Magic Quadrant™ for Observability Platforms for the 16th consecutive time
Dynatrace has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Observability Platforms, marking its 16th time receiving this recognition. The company’s unified platform…
Introducing New Relic Smart Alerts
New Relic Smart Alerts, now in Public Preview, uses patent-pending intelligence to automate the complex task of configuring alert coverage across highly distributed environments. B…
Dynatrace Release Radar 06.26
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…
Smarter, safer Agentic AI: Dynatrace observability meets NVIDIA AI-Q
Dynatrace provides full-stack observability for complex agentic AI systems by monitoring everything from GPU infrastructure and model performance to token consumption. Through its …
Beyond LLM-as-a-judge: Establishing LLM evaluations as a foundation for trustworthy agentic AI systems
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…
Log management for AI workloads: How to bring your logs and telemetry plan into the AI-first century
To support the scale and complexity of AI workloads, teams must transition from traditional, fragmented log management to a unified observability platform that integrates logs, met…
New Relic Now June 2026 Round-Up
While AI-generated code accelerates development velocity, it creates "agent debt" by causing unforeseen production incidents that lack real-world context. To bridge this gap, New R…