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New Tool Protects Cloud Computing Services

Associate professor of computer science Helen Gu founded InsightFinder, Inc.

Associate professor of computer science Helen Gu founded InsightFinder, Inc.

In late 2012, Helen Gu presented a research paper on a new tool designed to prevent disruptions in cloud computing. Less than four years later, she launched a startup to help companies that use cloud computing improve the user experience for their customers.

“The technology I developed has evolved significantly since 2012,” says Gu, an associate professor of computer science at NC State. “What was then a proof-of-concept is now a technology that works seamlessly with real-world cloud systems, like Amazon Web Services, with a click of a button.”

Gu’s technology allows companies that use cloud computing to gain insight into user and program behavior in order to diagnose potential problems in their code, so that it can be corrected quickly. The technology can also prevent performance disruptions in cloud-hosted applications by automatically identifying and responding to potential anomalies before they can develop into disastrous service outages.

“What we’re doing is important, because services like Spotify and Snapchat are constantly deploying updates to their code,” Gu explains. “Our technology can help these companies prevent or detect problems in the updated code and ultimately improve the user experience.

“I launched my startup, InsightFinder Inc., to make this technology available to companies — like Snapchat or Netflix — that use the cloud to deliver their services.”

In 2013, NC State’s Office of Technology Commercialization and New Ventures filed for a patent on the technology. Gu started InsightFinder in November 2015. The startup was made possible by a highly competitive National Science Foundation Small Business Innovation Research grant that Gu is using to develop, test and fine-tune prototypes.

InsightFinder’s three services are: a basic cloud-monitoring service; a premium smart monitoring service, which Gu says is more powerful and accurate than existing products on the market based on real-world application testing with a pilot customer; and a batch data analysis service that allows customers to upload historical data to get insights on what caused a performance problem in the past.

“We have a good team in place and are now recruiting customers,” she says.

Gu has published more than 60 research papers and has eight patents. She previously worked as a research staff member at the IBM T. J. Watson Research Center and served as a visiting scientist at Google in 2015.

This article was originally published by NC State News.