As a provider of data protection solutions for the enterprise, Druva Inc. has sought to capitalize on its natively architected solutions for the public cloud. And as a longtime partner with Amazon Web Services Inc., Druva has bought wholeheartedly into a model where its customers can take immediate advantage of new cloud features as quickly as AWS can roll them out.

“If I have a great idea today, 65 percent of my customers wouldn’t be in production with my idea for two-and-a-half years,” said Mike Palmer (pictured, left), chief product officer at Druva. “That model is gone. If Amazon announces a service today, we want our customers to be taking advantage of that with their data today.”

Palmer spoke with John Furrier (@furrier), host of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during AWS re:Invent in Las Vegas. He was joined by Jaspreet Singh (pictured, right), founder and chief executive officer of Druva, and they discussed Druva’s integration with AWS solutions and core changes coming to the cloud. (* Disclosure below.)

Druva integrated with Snowball Edge

Earlier this month, Druva announced major updates to its CloudRanger data protection product for AWS workloads, which included what it billed as the industry’s first automated disaster recovery and file level search. That followed an earlier move by Druva to place its data management platform on Snowball Edge, an AWS physical device that allows customers to move massive amounts of data from on-premises installations to the cloud.

Druva’s third-party applications are automatically provisioned on Snowball Edge, according to Singh. “What Amazon is trying to do is create a better way for customers to adopt more of the public cloud,” Singh said. “As Amazon creates that corridor for adoption, Druva is naturally a good fit for it and a part of it.”

As he surveys the cloud computing landscape, Singh sees three core changes coming in the distance. These are the continued adoption of serverless models where users pay only for cloud services they use, the growing impact of machine learning, and its concurrent impact on the ability of the enterprise to analyze content.

“Data science and machine learning is a big focus for Druva,” said Singh, during his discussion of the various cloud changes in the future. “If you put them all together, the possibilities are limitless.”

Watch the complete video interview below, and be sure to check out more of SiliconANGLE’s and theCUBE’s coverage of AWS re:Invent. (* Disclosure: Druva Inc. sponsored this segment of theCUBE. Neither Druva nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE