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 root causes, and suggested fixes. 

All engineers—from developers to operations, security, product, support, and QA teams can become pros at observability and 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 the root cause, 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 and learn faster 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 and faster learning 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 

Simply ask for root causes

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

 

Debug issues right in the code

New Relic AI can automatically pinpoint any 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.

 

Instrument and administer like a pro

New Relic AI can make it easier for all of your engineering teams to build and maintain a mature observability practice. It can help assist you in identifying missing instrumentation and alerts and closing monitoring gaps. Say goodbye to tedious IT chores like manually checking on the effects of a recent deployment, managing your account, setting user access, handling billing tasks, and more.  

Translate and collaborate

By leveraging LLMs, New Relic AI can translate human speak into queries and vice versa. Now you can query without laboring over the right query syntax and translate the complex queries used in curated UIs and dashboards into plain language that everyone can understand—even your executives 😉—in 50+ languages. 

 

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 am 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.

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