AI Case Study

Riot Games detects anomalies negatively impacting project and software performance in real time to improve product delivery

Using Time-series data analytics, New Relic's platform identifies patterns of usage to notice issues before it starts impacting users. The platform facilitates real-time monitoring, instant identification of root cause of issues and dynamic resource allocation.

Industry

Consumer Goods And Services

Entertainment And Sports

Project Overview

"Riot Games has a wide array of applications, but it’s hard to fully absorb and prioritize actions from all the data we gain from monitoring. An automated tool like New Relic Radar has been valuable in guiding us to issues for services that operate in the dark. For example, Radar proactively directed us to a disk space utilization issue for a machine we don’t pay much attention to, enabling us to add disk space before it impacted users."

According to New Relic, "Radar is a personalized feed designed to provide engineering and operations teams predictive and prescriptive insights into the critical services they are responsible for within their company’s software ecosystem. Radar analyzes the data from these services to identify patterns and potential issues—often previously undetectable—and provide actionable ways to resolve the issue. Learning from user engagement and actions, Radar constantly improves to ensure the most relevant recommendations are surfaced to meet user needs.

Radar provides analytic recommendations via cards which contains interesting, relevant, and actionable data about a specific service or the ecosystem as a whole. "

Reported Results

Proactively identify issues before they impact customer experience. E.g: Predict disk space utilization issues enabling adding disk space before it impacted users

Technology

Function

Information Technology

Network Operations

Background

"Riot Games, Inc. is an American video game developer and eSports tournament organizer based in West Los Angeles, California."

Benefits

Data