A movable feast: Mobilizing clunky data to feed advanced applications | #reInvent
Big data keeps getting bigger, yet swift, reliable, advanced applications that make use of it are not as abundant as enterprises would like. Part of the problem is how to break large datasets out of their silos for trucking around. (Speaking of which, Amazon actually rolled out a 45-foot truck into the keynote hall at the AWS re:Invent event in Las Vegas to show how its will move massive data to its cloud.)
Kiran Bhageshpur, CEO of Igneous Systems Inc., spoke about the pressing necessity of bringing storage and compute together both on-prem and at the edge. “Igneous was founded to deliver cloud services to the enterprise [on-prem] data center for data-centric workloads,” he told John Furrier (@furrier) and Stu Miniman (@stu), co-hosts theCUBE*, from the SiliconANGLE Media team, during AWS re:Invent.
Data on the fly
Bhageshpur said that both storing data and processing it on the fly present challenges to app developers.
“A camera today or a next-generation microscope could produce tens of terabytes of data per hour, and that is not stuff that you can move across the Internets to the cloud,” he argued.
In order to solve these challenges, vendors have to, in effect, “shrink” infrastructure to fit specific use cases, Bhageshpur said. He stated that Amazon’s Lambda server-less compute goes some of the way to accomplishing this. “What that really does is allows enterprises and customers to just focus on what is differentiated to them, so this is the whole low code-no code moment, if you will,” he said.
Per drip, not per drink
Bhageshpur explained that Igneous delivers this “shrunken” storage infrastructure on-prem but in a subscription, “per drip, not per drink” Amazon-like model.
“The same techniques that have made Amazon so powerful and so valuable are needed out at the edge or on-premise close to where users and machines are generating and using the data,” he said.