Meet the first GenAI assistant for observability (2024)

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.

Next steps

  • Check out our documentation on how to get started with New Relic AI.
  • Haven’t signed up for your New Relic full-access user account yet? Create a free account and you’ll get 100 GB/month of free data ingest and access to our platform’s 30+ capabilities including popular tools like APM, infrastructure monitoring, logs management, custom dashboards, errors inbox, tracing, change tracking, and more.

Observability New Relic News

Meet the first GenAI assistant for observability (1)

By Camden Swita, Senior Product Manager

Camden (He/Him) works on New Relic AI, change tracking, and lookout capabilities. Through three products, he's exploring new ways for any product stakeholder to unlock the value of software telemetry and product analytics data and add value regardless of their technical acumen. Outside work, he's a community conflict mediator, contemporary absurdist short story writer, and father of three cats, Frog, Toad, and Luna.

The views expressed on this blog are those of the author and do not necessarily reflect the views of New Relic. Any solutions offered by the author are environment-specific and not part of the commercial solutions or support offered by New Relic. Please join us exclusively at the Explorers Hub ( for questions and support related to this blog post. This blog may contain links to content on third-party sites. By providing such links, New Relic does not adopt, guarantee, approve or endorse the information, views or products available on such sites.

Forward-looking statements

This blog post contains “forward-looking” statements, as that term is defined under the federal securities laws, including but not limited to statements regarding the availability of New Relic AI and its functions, including any anticipated benefits, results and future opportunities related thereto. The achievement or success of the matters covered by such forward-looking statements are based on New Relic’s current assumptions, expectations, and beliefs and are subject to substantial risks, uncertainties, assumptions, and changes in circumstances that may cause New Relic’s actual results, performance, or achievements to differ materially from those expressed or implied in any forward-looking statement. Further information on factors that could affect New Relic’s financial and other results and the forward-looking statements in this press post is included in the filings New Relic makes with the SEC from time to time, including in New Relic’s most recent Form 10-Q, particularly under the captions “Risk Factors” and “Management’s Discussion and Analysis of Financial Condition and Results of Operations.” Copies of these documents may be obtained by visiting New Relic’s Investor Relations website at or the SEC’s website at New Relic assumes no obligation and does not intend to update these forward-looking statements, except as required by law.

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In this article

About Observability and New Relic AI

As an expert in observability and AI-driven solutions, I can provide in-depth insights into the concepts mentioned in the article. The article discusses the groundbreaking introduction of New Relic AI, the industry's first generative AI assistant for observability. This AI assistant aims to revolutionize observability by leveraging large language models (LLMs) and the New Relic unified telemetry data platform to provide deep insights and analysis into system states through a familiar chat interface.

Observability and Its Challenges

Observability refers to the ability to gain insights into the internal state of a system based on its external outputs. It involves monitoring, understanding, and troubleshooting complex distributed systems. The article highlights the challenges of observability, such as synthesizing large volumes of data, distinguishing signal from noise, and the need for skilled users to navigate through various data sources and tools.

New Relic AI and Generative AI

New Relic AI is powered by Generative AI (GenAI) and aims to turn mountains of data into actionable insights. It emphasizes the importance of unified data for GenAI-driven solutions, as access to more data enables the AI to deliver meaningful insights efficiently and learn faster. The New Relic all-in-one observability platform unifies data, context, tools, and teams into one integrated experience, enhancing the quality of AI responses and learning capabilities.

Key Features of New Relic AI

New Relic AI offers several key features, including the ability to analyze telemetry and context across the entire software stack to suggest underlying causes and resolution steps. It can also pinpoint code-level errors, suggest fixes, assist in identifying missing instrumentation and alerts, and automate tedious IT tasks. Additionally, it leverages LLMs to translate human queries into machine-readable queries and vice versa, enabling seamless collaboration and communication.

Future of Observability and AI

The article also mentions the expansion of GenAI-enabled capabilities, including machine learning operations (MLOps) for predictive analytics and the integration of OpenAI's GPT Series APIs. New Relic AI represents a significant milestone in the journey to make observability more accessible and essential for software development.


New Relic AI is positioned as a transformative tool for enhancing observability and software telemetry. It aims to empower engineering teams to address complex issues, optimize AI implementations, and make observability an essential practice for software development.

For more detailed information, you can refer to the original article on New Relic's website.

Meet the first GenAI assistant for observability (2024)
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