SUNNYVALE, Calif., March 10, 2020 /PRNewswire/ -- DriveScale, Inc., the leading innovator of elastic bare-metal cloud infrastructure, announced support for OpenStack, an open source cloud computing platform for public and private clouds. By supporting the OpenStack Cinder standard, DriveScale provides programmable, scale-out storage to the deployment of traditional bare-metal clouds. DriveScale makes it possible to scale out commodity storage that can be expanded, reduced and replaced on the fly turning hardware into a programmable, elastic resource.
Cinder is a block storage service for OpenStack. It presents storage resources that can be consumed by OpenStack Compute through the use of a plugin driver. Through a self-service API, Cinder enables OpenStack Compute to request and consume block storage resources and DriveScale through its Cinder plugin orchestrates the underlying hardware and delivers HDDs and SSDs as well as slices of SSDs at high scale, cost-effectively and with the performance of local drives. OpenStack is deployed by service providers, public clouds and a growing number of enterprise private clouds. According to Statista, the OpenStack global market revenue is forecasted to be $6.7B in 2021.
In addition to making storage programmable, DriveScale automates the creation of multi-path iSCSI and NVMe-oF data fabrics eliminating operational complexity common with external storage. DriveScale also supports Kubernetes through the Container Storage Interface (CSI) and provides users with a REST API.
"We see a significant installed base of OpenStack customers looking to move to modern, data-intensive applications and demanding easy to deploy, elastic physical hardware," said Denise Shiffman, Chief Product Officer, DriveScale. "DriveScale enables programmable storage resources to OpenStack infrastructure via the Cinder standard."
DriveScale instantly turns any data center into an elastic bare-metal cloud with on-demand instances of compute, GPU and storage, including native NVMe-over-Fabrics, to deliver the exact resources a workload needs, and to expand, reduce or replace resources on the fly. With DriveScale, high-performance Kubernetes clusters deploy in seconds for machine learning, advanced analytics and cloud-native applications at a fraction of the cost of the public cloud. Learn more at www.drivescale.com.
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