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Too often, IT operations teams focus on fixing outages rather than proactively solving problems. The challenge is to analyze data to understand what is happening in different systems and how to effectively solve urgent problems. There’s no silver bullet, but relatively new startup InsightFinder says it offers solutions on a platform that algorithmically predicts IT infrastructure issues and attempts to resolve them automatically.
Founded by Helen Gu, a computer science professor at North Carolina State University who previously worked at IBM and Google, InsightFinder is designed to learn from machine data to identify and fix problems before they impact web or application performance. It’s not a new idea – companies like BigPanda and so on Mogsoft offers tools along these lines — but Insight Finder has enthusiastic investors, some of whom have contributed $10 million to the startup’s coffers ($17 million, including $10 million). The series closed today.
“PgEndemic has made businesses more cautious about their spending. However, businesses are looking for ways to become more agile, distributed and smarter,” Gu told TechCrunch in an email interview. “This is where InsightFinder can help businesses adapt and scale.”
Image Credits: Insight seeker
Powered by an AI system, InsightFinder – which integrates with monitoring tools like DataDog, PagerDuty and New Relic – learns from logs, traces and account data to uncover root causes and predict and even remediate incidents. If possible, the platform will attempt to restart, autoscale, or relocate resources such as containers when it detects a problem.
To avoid unnecessary data transfers and protect privacy, InsightFinder a Where federal education access data is analyzed locally and only high-level insights are posted on public networks. Users can access dashboards to see patterns and trends, as well as estimates of savings time, labor cost savings, and the number of incidents resolved.
Gu says, uInsightFinder Sing, a Fortune 50 technology company, is able to predict IT events two to 12 hours in advance.
“InsightFinder can help businesses understand their results and efficiencies and tap into their strengths,” said Gu. “AWhile our customer base is not large today due to the time and resources we spend with these strategic customers, this will change significantly as we raise this funding round.
With similarly unbridled optimism, Insight Finder — which isn’t currently disclosing revenue — told me it will grow its workforce from 20 people today to 25 by the end of the year. The goal is to expand the InsightFinder platform to predict not only IT outages, but also, for example, unusually high cloud computing bills.
Silicon Valley Future Capital led InsightFinder’s Series A, along with U Star Fund, Acadia Woods Partners, Eight Ways Ventures, Eastlink Capital, Fellows Fund, IDEA Fund Partners and Triangle Tweener Fund.
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