Today is groundbreaking in the world of observability: the industry’s first generative AI assistant is here. 

Unlock observability for all

Observability is now as easy as asking, “What’s wrong with my browser app?” 

Combining large language models (LLMs) and the New Relic unified telemetry data platform, you can gain deep insight into a system's state simply by asking straightforward questions. Inside the New Relic platform, use a familiar chat interface to ask New Relic AI your questions and it will respond with in-depth analysis, insights on system anomalies, and suggested fixes. 

From developers to operations, security, product, support, QA teams, and non-technical users, New Relic AI empowers everyone to fix issues faster, reduce outages, and increase development velocity and innovation.

Conquer mountains of MELT

If you have anything to do with building and maintaining software, you know how hard it is to distinguish the signal from the noise. Synthesizing huge volumes of data into clear takeaways isn’t always easy when navigating through a veritable funhouse of dashboards, documentation, runbooks, alerts, anomalies, logs, traces, and more. And here’s hoping you’re monitoring the right things from the beginning. 

It’s no surprise that often observability is restricted to just a select few skilled users. But imagine simply asking a smart assistant to help sift through the data and find anomalies, fix code-level errors, instrument a part of your stack, or just write and run your query. This is what New Relic AI will be. It’ll turn mountains of data into actionable insights, instantly.

GenAI needs unified data 

Like any solution driven by generative AI (GenAI), New Relic AI gets better and more powerful with access to more data. And it can deliver meaningful insights more efficiently when that data lives under one roof. The New Relic all-in-one observability platform is that roof: it unifies your data, context, tools, and teams into one integrated experience. 

Combining LLMs with the breadth of our unified telemetry data platform powers higher-quality AI responses for the AI. Plus, New Relic AI can approach a problem from myriad angles thanks to a single, unified database that generates insights from 30+ correlated capabilities.

Using New Relic AI

Accelerate onboarding and instrumentation

Any engineering team can now build and maintain a more mature observability practice. New Relic AI can help you instrument new sources of telemetry data, get to know your system without learning a new query language, and optimize your alerts for faster mean time to detection (MTTD).

Instrument, report, and admin like a pro.

Detect system anomalies and accelerate error resolution 

Any question on your mind is fair game. Ask “Why is my shopping cart service slow?” or “How did the latest server update impact my app?” and New Relic AI will analyze your telemetry and context across your software stack to suggest underlying causes and resolution steps.


Debug issues right in the code

New Relic AI can automatically pinpoint code-level errors right inside your IDE using CodeStream and errors inbox. It can even suggest a fix for you, which you can apply with the click of a button.


Continuing our AI journey 

New Relic AI comes on the heels of our announcement of the industry’s first OpenAI GPT observability integration. This machine learning operations (MLOps) capability allows engineering teams to monitor applications built with OpenAI’s GPT Series APIs. And we’re only getting started. 

New Relic is expanding its GenAI-enabled capabilities—in how we help our customers get to the source of problems faster, use machine learning models for predictive analytics, and optimize their own AI implementations—and generally make observability more accessible. New Relic AI is a significant milestone in that journey, and we have so much to learn as we move forward, iterate, and innovate. 

I’m thrilled that today we can give the world a look at New Relic AI. I can’t wait to show you what’s next in our quest to transform observability into an essential practice in anyone’s journey toward making perfect software.