More and more data will be available for InfoSight’s AI algorithms as InfoSight gets deployed across 3Par and other HPE systems. “So, we might notice that everything’s running just fine, things are humming along, servers are working fine, applications are working fine but there’s an opportunity to get more performance if you were to move, for example, a virtual machine from one server, where there’s extra contention, to another place,” Cohen said. “W e’re watching what’s going on in the environment, and we’re putting it through these expert systems using quite a lot of different AI and machine learning and data science techniques the goal here is to tell the customer what to do to make the environment better,” said Gavin Cohen, vice president of product and solutions marketing at HPE. HPE says that the InfoSight update goes beyond alerting users to potential, specific system failures, offering recommendations to more efficiently provision network storage systems and improve performance. The sensors are in the storage devices themselves but also collect network, compute, and hypervisor data. InfoSight collects infrastructure information from “call home” sensors and runs analytics against the massive amount of usage data it has accumulated over the years to detect patterns in order to predict, for example, when a user might run out of storage or when a storage device may exceed a certain input/output threshold. But the InfoSight predictive analytics platform was Nimble’s “crown jewel,” said Moor Insights & Strategy’s McDowell. HPE bought Nimble, whose stronghold was in flash arrays aimed at the midmarket, in part to complement 3Par flash technology aimed at higher-end enterprise systems.
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