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 The New Stack 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.
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 The New Stack 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.