NetApp sponsored this podcast.
It wasn’t that long ago when data fabrics were mainly relegated to various strategies organizations had in place for data management. The concept was largely limited to making sure data was where it should be and stored in the right places. Flash forward to today, and data fabrics are very much tied to often mission-critical analysis, often across a mix of multicloud and on-premises environments. DevOps teams, of course, increasingly rely on data fabrics to help support DevOps operations and culture.
In this edition of InApps Technology Makers podcast, Neil Stanley, product manager, data fabric at NetApp Cloud Data Services, and Jason Blosil, senior product marketing manager, cloud solutions, for NetApp, spoke about what data fabric means today, and how NetApp has adapted its architectural approach for modern DevOps challenges.
NetApp: Data Fabrics for Data That Is Everywhere
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Traditionally, Blosil said, data fabrics have often been implemented in siloed environments, even as efforts have been made to share infrastructure within the data center. “And I think what we’ve seen is as we start to look at a hybrid cloud world or a cloud-driven world where there’s the risk of that same thing happening,” Blosil said.
Often today, an organization might have deployments on Amazon and Google cloud services, on-premises and in private clouds, Blosil said. And so now you have a situation where I have silos again, but they’re in the form of some data sitting in different clouds and on-premises,” Blosil said. “So, a data fabric is really an attempt to address that issue. So, you can say ‘how do I manage this whole environment and this whole it landscape in a way that allows me to simplify orchestrate and deploy applications in a way that’s more easy to use and consume and deploy, as opposed to having once again a repeat of my silo’ed architecture, which is a bunch of data and applications in its own space that I didn’t have to manage independently of the others.”
Part of NetApp’s emphasis for data fabrics is the role “data gravity” plays for cloud services, where there is data in different cloud services, while customers will have data on their architecture as well.
“What NetApp has always tried to do is to make the most efficient way of storing data with our technologies, that really help reduce the gravity of the data and make it is a little bit more mobile,” Stanley said. “So, the philosophy of governance around the data fabric is kind of larger than just having a data fabric within a public or private cloud, so it is actually more related to a larger concept of those components making up part of your data fabric.”
Feature image via Pixabay.
