UPDATED 13:51 EDT / SEPTEMBER 29 2021

CLOUD

The secret sauce distinguishing CloudPhysics’ intelligence platform for HPE GreenLake

In the grand scheme of things, enterprises want two things for their information technology initiatives: simplicity and speed, at scale.

Cloud computing addresses the demand for speed, leaving the problem of streamlining the optimization of workloads for performance, price and configurations. Hybrid cloud solutions in particular introduce challenges in balancing on-premises and cloud databases. Recent developments by Hewlett Packard Enterprise Co., including an acquisition, takes its GreenLake hybrid computing platform one step closer to simplifying IT.

“We’re doing that with empowering with data-driven intelligence across the board,” said Sandeep Singh (pictured, left), vice president of storage marketing at HPE. “We’ve been transforming that operational support experience with HP InfoSight. Now we’re talking about how we can transform that experience in that upfront IT procurement portion of the process.”

Singh and Chris Schin (pictured, right), chief product officer at HPE CloudPhysics, a product of HPE, spoke with Dave Vellante, host of theCUBE, SiliconANGLE Media’s livestreaming studio, during the HPE GreenLake Announcement event. They discussed HPE’s acquisition of CloudPhysics’ intelligent collaboration platform and its role within emerging market opportunities for GreenLake. (* Disclosure below.)

Finding the right fit

Even with its convenience and cost-saving measures, picking the correct cloud platform can be a headache for businesses owners, with sub-technologies and new applications popping up all over the board. This leads to partners and vendors packaging up solutions that might not best fit what the customer needs, according to Schin.

“You’ve got an unsatisfied customer and inadequately equipped partner,” Schin explained. “CloudPhysics brings those two together in a common data platform so that both those customers and their partners can look at the same set of data that came out of their data center and pick the solutions that will solve their problems most efficiently.”

CloudPhysics, recently acquired by HPE, is an IT Collaborative Intelligence Platform that connects businesses and solution providers to create customized cloud solutions. By analyzing shared data across IT infrastructures, CloudPhysics provides insights to assist in upgrading, repairing and adapting data centers. CloudPhysics also simulates data migrations to estimate cost and viability, leveraging modeling to drive actions through IT data.

“They can look back over a year … and they can see what the operating system landscape has changed how different workloads of lost popularity, how other ones have gained ,and they really can become a much better solution provider to that customer,” Schin said.

For HPE GreenLake, the acquisition of CloudPhysics supports enterprises looking to modernize heterogeneous data center environments.

“Partners all of a sudden get this opportunity to be much more strategic to their customers,” Singh said. “They’re operating on real-world insights that are specific to that customer’s environment. So now they can really have a tailored conversation, as well as offer tailored solutions designed specifically for the areas where help is needed.”

What differentiates CloudPhysics is its existing market position, granting HPE earlier access to customers, according to Schin.

“We’re going to analyze your environment where HPE may not even have a footprint today. And then we’re going to give you ideas of what products might help you based on very similar techniques but approaching very different problems,” Schin added.

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of the HPE GreenLake Announcement event. (* Disclosure: TheCUBE is a paid media partner for the An HPE GreenLake Announcement event. Neither Hewlett Packard Enterprise Co., the sponsor for theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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