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Seeing and Predicting

Ensuring Data Gets to Your Apps

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Dealing with unexpected problems created by infrastructure complexity is a headache of the past. InfoSight uses cloud-based predictive analytics to anticipate and prevent problems before they impact your business and to ensure data reliably gets to your applications.

Get Your Time Back with Infrastructure that Learns

Too much time is wasted troubleshooting problems. Interpreting complex logs to find answers is harder than searching for a needle in a haystack. You can now put your time to better use. InfoSight learns from the Nimble installed base to predict problematic behavior so you have fewer problems to deal with.

Can Machine Learning Prevent Application Downtime?

Predicts and Prevents Problems

Every second, InfoSight analyzes millions of sensors across thousands of customers and uses the information to predict and prevent problems in your environment, even those outside of storage. And, if it uncovers an issue, InfoSight proactively resolves it before your business is impacted. In fact, InfoSight automatically predicts and resolves 86% of problems.

InfoSight

Support You Actually Like

InfoSight has transformed the support experience with predictive analytics. InfoSight automates Level 1 and 2 problems, which has allowed Nimble to staff a support center with only Level 3 engineers. If you need support, our engineers answer the call in less than 1 minute on average, and they already have all the data needed to solve even the most complex problems quickly. You never have to recreate a problem or send log files again. It’s the support you’ve always wanted.

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Rent-A-Center Can Focus on Its Customers Instead of Its Storage

See how InfoSight frees up Rent-A-Center from managing storage. Before Nimble Storage, Rent-A-Center had to monitor infrastructure every day, but now InfoSight watches over it using cloud-based predictive analytics.

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“With InfoSight, Nimble Storage has enabled us to get immediately to the root cause of some pretty complex virtualization resource contention issues. Bottom line is that we’re saving 5 engineering man-hours per week. ”

-Tim Vogel, Chief Technology Officer, Xtium