Dr. Tim Wagner & Shruthi Rao | Cloud Native Insights
Channel: SiliconANGLE theCUBE
Date: 2020-07-02

Dr. Tim Wagner, Co-founder & CEO, Vendia and Shruthi Rao, Co-Founder & CBO, Vendia sit down with Stu Miniman for an episode of Cloud Native Insights. Tim is the "father of serverless" who created AWS Lambda, Shruthi was the head of blockchain at AWS, their experiences led to the idea to create Vendia - allowing serverless to get state back, and go multicloud.

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https://siliconangle.com/2020/07/02/vendias-founders-aim-leverage-serverless-blockchain-solve-data-sprawl/

How Vendia’s founders aim to leverage serverless and blockchain to solve data sprawl

CLOUD NATIVE INSIGHTS BY STU MINIMAN WITH MARK ALBERTSON

Two important tenets surrounding the cloud revolution are that it should not be viewed as a destination, but rather a means to enable new ways of thinking, and that the technology should not lock a user into a single solution.

The serverless data sharing startup Vendia Inc., which exited stealth mode on Tuesday, is a prime example of both tenets in action.

The new company’s two founders, Tim Wagner (pictured) and Shruthi Rao, came out of Amazon Web Services Inc. and brought their significant expertise in serverless and blockchain to help companies work with data sprawl across multiple platforms and allow information to be shared at will.

Wagner is known in the tech world for starting the serverless movement through the development of Lambda for AWS. Lambda provides a framework to run code without provisioning or managing servers. It makes compute far easier to use, but what about seamlessly finding and moving data?

“The genesis of Vendia is to tackle the pieces of this,” Wagner said. “It’s giving that promise and ease of use of serverless, now with the model for replicated state and data, that can cross accounts, departments, machines, clouds, companies as easily as it scales on a single cloud today. It’s getting all of your data back together again, that’s the problem we set out to solve with Vendia.”

Wagner spoke with Stu Miniman, host of theCUBE, SiliconANGLE Media’s livestreaming studio. It’s the newest installment of Cloud Native Insights, a series that focuses on transitions in the marketplace and how companies are making the journey to modernize and leverage cloud native technologies. He was joined by Rao, Vendia’s chief business officer, and they discussed key elements of Vendia’s solution, use cases with partners, simpler ways to leverage cloud technologies, providing more options for customers and a different view of the blockchain.

Deployment of universal apps
Vendia’s name comes from the Venn diagram, a pictorial depiction of overlapping circles which captures logical relations between a collection of different sets. It’s this kind of visual which Wagner and Rao used in a Medium blog post on Wednesday to announce and explain their new company.

At the core of Vendia’s solution are universal apps or “unis,” which form the common basis to create stateful serverless apps and hyperscale blockchain functionality across multicloud environments.

“It’s really a single box deployment model,” Wagner said. “Reimagine a blockchain as a cloud native implementation built entirely out of serverless components with all of the scale, cost efficiencies, high utilization and ease of deployment that Lambda has today and at the same time bring state to serverless.”

The startup has already put its concept into action with at least two different partners. In one use case, an automobile manufacturer wanted to track tens of thousands of parts through the entire lifecycle. Yet, the data for all of those parts was stored in multiple clouds by various subcontractors and government agencies.

“They want to track every single part that goes into a particular car and there are about 30,000 to 35,000 parts,” Rao said. “What we delivered to them was a virtual data lake where the sources of this data are in multiple clouds, on multiple accounts, owned by multiple parties and all of that data is shared with all of the permissions.”

The second use case involved a nonprofit organization in the animal welfare space with a mission to avoid the euthanization of dogs or cats brought to shelters in the U.S. as a result of natural disasters such as wildfires or hurricanes. Reading ID chips on pets can be difficult in chaotic situations and this organization relied on over 2,500 partners across the country, often staffed by volunteers with minimal information technology training.

Using facial recognition algorithms, pictures of animals were stored in one data lake and the nonprofit was able to connect with its partners “easily and in a very cost-effective way,” according to Rao. “They were able to get to this outcome in days, not months or years.”

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Here’s the complete video interview, the latest in the continuing Cloud Native Insights series and one of many CUBE Conversations from SiliconANGLE and theCUBE: