OpenDrives Delivers Scale-Out Storage Capabilities with Debut of Powerful New Centralized Software Management System Atlas 2.1
Scales Software Capabilities to Support Enterprise-Grade Businesses Globally with Features Driving Scalability, Operational management, Performance Analytics, and Service Availability
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LOS ANGELES, Oct. 07, 2020 (GLOBE NEWSWIRE) — OpenDrives, the global provider of enterprise-grade, hyper-scalable network-attached-storage (NAS) solutions, announces today the availability of Atlas 2.1, the next version of its software platform and file system that powers all OpenDrives storage solutions. Atlas 2.1 enables a scale-out storage architecture to accelerate performance, power, and flexibility of OpenDrives’ storage lineup, including the recently released Ultra Hardware series. Customers are now able to overcome significant constraints within key functional areas, such as scalability, operational management, performance analytics, and service availability.
“Many people think of storage as purely hardware. While it underpins the processes and interconnections within a storage solution, it’s the software that drives true performance,” said Sean Lee, Chief Product and Strategy Officer at OpenDrives. “Debuting Atlas 2.1 is a significant step towards more fully software-defined storage solutions. We’re proud to reach this milestone, scaling OpenDrives as a boutique hardware company to provide enterprise-grade customers with software that, for the first time, provides customers with the infrastructure they need to enable performance scale-out storage capabilities.”
Atlas 2.1 includes features that allow companies to massively scale outward while maintaining scale-up performance. These features include: storage clustering, distributed file systems, containerization, conditional automation, centralized management and visibility, cloud storage support, and high-availability.
Storage Clustering allows individual scale-up devices, or nodes, to be aggregated together forming a cluster. This parallel distributed architecture enables balanced workloads among cluster nodes without sacrificing performance hits such as increased latency.
Containerization brings functions such as compute and the application itself closer to where the data resides in our storage. While many vendors commonly approach containerization from the compute side,
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