Ai

Introduction & Modernizing the DevOps Loop If you have worked in software engineering or IT operations over the past decade, you are undoubtedly familiar with the classic DevOps infinity loop - a continuous cycle connecting planning, coding, building, and testing on the left with deployment, operation, and monitoring on the right. However, as agentic AI systems transition from experimental prototypes into mission-critical production infrastructure, the traditional software lifecycle requires a fundamental update. We are moving beyond simple AI assistance into Agentic AI Workflows, where autonomous agents write code, execute tools, invoke models, and manage operational infrastructure. ...

Over the past year I’ve been running a hands-on workshop called “New Relic AI Monitoring Mastery” at developer events. The premise is simple: attendees build a small AI chatbot from scratch using Python, Flask, and the OpenAI API, then instrument it with New Relic to see exactly what’s happening inside. This post captures the key ideas and lessons from those sessions - what metrics matter, how to get visibility quickly, and why model choice has a bigger operational impact than most people expect. ...

You Founded a Startup. Your AI Agents Are Hallucinating. Your Investors Are Watching Sound fun? It is, actually. On March 27, we’re hosting a free, in-person hackathon at the Microsoft Mountain View Campus (1045 La Avenida St, Mountain View, CA) where you’ll build an AI-powered travel planning assistant from scratch — and then make it production-ready with real observability and security controls. This is part of Microsoft’s What The Hack series: collaborative, challenge-based hackathons where you learn by doing, not by watching someone else’s screen. ...

AI applications are complex and distributed, making effective monitoring challenging. Combining the New Relic intelligent observability platform with Pulumi’s infrastructure-as-code and secret management solutions allows for an end-to-end “observability as code” approach. This method enables teams to: Define artificial intelligence (AI) and large language model (LLM) monitoring instrumentation along with cloud resources programmatically. Securely manage API keys and cloud account credentials. Automatically deploy New Relic instrumentation alongside AI applications and infrastructure. Benefits include: ...