Today’s digital business initiatives generate vast streams of real-time data. Every user action can generate dozens of events that tell the story of what’s going on in the user experience, in the application, and in the underlying infrastructure. Properly captured, this data can tell the real story of everything happening in your digital business, and you want to grab as much of it as possible so you can maximize the amount of information from which you can learn how to improve your customer experience and achieve better business outcomes.
However, we may have reached the point where humans simply can’t process this vast amount of data fast enough or understand it deeply enough to extract maximum actionable value from it. We believe the solution moving forward may require cloud-hosted Artificial Intelligence.
Today at FutureStack16 in San Francisco, we are demonstrating a technical preview of what we call Project Seymour, and we believe it could form the basis of a game-changing new AI platform. Seymour uses machine learning to help guide our customers to the most interesting, most relevant, and most actionable bits of their own data and see their digital businesses even more clearly.
Here at New Relic, we spend a lot of time looking at application and machine data. As our cloud-based Digital Intelligence Platform helps more than 14,000 companies run their digital businesses, we ingested more than 25 trillion events last quarter alone. With Project Seymour, we’ve think we’ve found a way to help customers leverage the data about how they use New Relic to dramatically simplify the overwhelming task of understanding what’s really going on in their digital business. We’ve distilled the work from more than 1,000 engineer-years into AI algorithms that tirelessly pore over that data to understand what’s important to you and surface that knowledge where it’s most relevant.
Traditional monitoring solutions have trouble coping with this much data. So in Seymour we surface these results in a personalized data feed that’s designed to constantly evolve and improve to meet your needs. You can teach Seymour what’s interesting and relevant to you by providing simple feedback—via a simple thumbs-up/thumbs-down button—that helps make our machine learning systems even smarter.
The feed packages this personalized information and insight into cards that make it easy to see what’s happening at a glance, whether it’s an error incident, a spike in traffic, or an emerging usage trend. It offers a quick archive view of the insights or patterns that Seymour determines will be most important to you, based on your role, permissions, and feedback history. Put simply, Seymour is designed to take the burden off our customers and put it into AI.
That’s critically important, because even as the need to view and act on digital business data spreads from developers and operations throughout the organization, fewer and fewer people have the time or skills needed to drill deep into their complex infrastructure to figure out what’s really happening. We built Seymour so that you don’t have to, because the AI would do it for you—using machine learning to personalize the results to focus on the trends and metrics that matter most to you, whether you’re an application owner, in customer support, or executive management.
Project Seymour uses automatic, multi-dimensional anomaly-detection algorithms to bubble up abnormal events data “hiding” in your software—and with the release of New Relic Infrastructure, Seymour can track the full infrastructure stack as well. It can identify issues from misbehaving apps to changes in your digital products that lead to adverse effects to security issues like cross-site scripting attacks or attempts to get access to your servers.
But Project Seymour goes way beyond alerts—the information it provides is far more nuanced and informative. Not only can Seymour surface the anomaly, it can initiate automated root-cause analysis that replicates the logic to diagnose the problem. Or when your disks start running low on storage space, Seymour can notify you and even predict when you’re going to actually run out of space.
Seymour is not intended to replace New Relic Alerts, which are designed to interrupt you when something urgent goes wrong. Instead, it’s meant to become the source of truth and understanding about your digital business. It is our hope that it will turn out to be the first thing digital business leaders check in the morning—maybe even before their Dunkin’ Donuts coffee. Seymour also has a mobile app interface, so busy users can have access to this power no matter where they happen to be, even on the bus to work in the morning.
Empowering the digital business team
The idea behind Seymour is to make it easy to see what’s going on in the business, where people need to devote their attention, and what needs to be shared with the broader team.
Our customers are responsible for managing increasingly complex and dynamic systems. When issues occur, it often requires multiple people across multiple roles to intervene. Running a digital business is a team sport. In fact, some New Relic customers have hundreds of users relying on our Digital Intelligence Platform. So we designed Seymour to make it easy to share trends and issues with teammates and collaborate on them right inside the system UI. Users can work in teams to devise solutions to specific problems or hash out new strategies.
Creating something special in the cloud
We think we’re creating something special by delivering actionable visibility into the data already in your software and infrastructure. Our SaaS-based Digital Intelligence Platform uniquely positions New Relic to leverage the data that drives Seymour’s AI and machine learning, and we see Seymour as a promising way to extend the platform’s capabilities in important new ways.
At the same time, the data on how our customers use New Relic drive Seymour’s intelligence. Thanks to AI and the vast amount of data our customers collect in our cloud, we anticipate that Project Seymour will get even smarter, broader, deeper, and easier to use over time! We simply don’t see on-premise monitoring solutions as having enough data to do that.
We expect to preview Project Seymour to a handful of New Relic customers. If you’re interested in participating in this technology preview to give us feedback, please sign up here.
This post contains “forward-looking” statements, as that term is defined under the federal securities laws, including but not limited to statements regarding Project Seymour as well as potential benefits derived therefrom. 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 http://ir.newrelic.com or the SEC’s website at www.sec.gov. New Relic assumes no obligation and does not intend to update these forward-looking statements, except as required by law.