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 …
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AIOps
22 articles · Page 1 of 2
Your AI Doesn’t Need More Intelligence. It Needs More Context.
The article argues that the next era of enterprise technology will be defined by the depth of operational context provided to AI, rather than the raw power of the models themselves…
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…
How AI-Powered Monitoring is Transforming IT Operations
While many AIOps platforms produce noisy, unreliable alerts by applying generic machine learning to raw telemetry, the most effective solutions utilize "domain-aware" AI layered wi…
From event correlation to autonomous IT: Why observability isn’t enough anymore
While traditional observability provides visibility into IT issues, it often fails to identify their root causes or provide actionable solutions, leading to alert fatigue. OpManage…
Accelerating agentic development and incident resolution with New Relic AI + AWS
New Relic has launched a one-click integration between its MCP Server and AWS’s Kiro development environment to bridge the gap between AI coding tools and real-time production tele…
Your Monitoring Stack Wasn’t Designed. It Was Procured.
The article argues that "2am war rooms" persist not due to inadequate technology, but because enterprise IT teams procure monitoring tools in silos to solve isolated departmental p…
Introducing the State of AI Coding 2026
As generative AI becomes an industry baseline for software production, engineering teams are facing a paradox where visually high-quality machine-authored code leads to a significa…
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Introducing New Relic Knowledge: AI-driven insights grounded in your business context
New Relic Knowledge is an AI-driven observability feature designed to bridge the gap between technical incident detection and real-time business impact. Unlike standard AI assistan…
How One Engineering Team is Scaling AI Agents Using AI Observability
New Relic’s internal engineering team transitioned from manual, fragmented telemetry to using New Relic AI Monitoring (AIM) to manage their AI agents more efficiently. This adoptio…
The Agentic Shift: Key Takeaways from IDC Directions 2026
The industry is transitioning from AI experimentation to an era of "agentic execution," characterized by the massive-scale deployment of autonomous AI agents. To support this shift…
Dynatrace AI agents begin working for you on day one, and are built to grow with you
Dynatrace is releasing ready-made AI agents designed to proactively address operational issues for developers, SREs, and IT operations teams – going beyond generic AI to offer task…