Fujitsu Unveils ETERNUS CD10000 System
As organizations continue to grapple with the problem of how to leverage Big Data as they cross the Petabyte divide, Fujitsu, a leading information, communications, and technology (ICT) company, addresses this issue by introducing the world's first storage system designed to grow and last as long as the online data it hosts. Leveraging a broad and open storage eco-system, FUJITSU Storage ETERNUS CD10000 helps organizations eliminate the major headaches associated with the exponential growth of data.
With Big Data, organizations face three key problems: increased demands on scalability, greater complexity and cost, and physical limitations on the future ability to actually migrate data between storage systems without major disruption. Collectively, these factors dictate that businesses need a new approach to traditional storage as they move into the era of keeping tens of petabytes (PB) of data online, all the time. To put the sheer data volume into context, one PB of data is equivalent to approximately 100,000 hours of full HD 1080p video.
"The C-Suite is pushing heavily on organizations to deliver Big Data insights and action, but IT departments still struggle to capture, much less use, the sheer volume of data that their organizations generate," said Alex Lam, vice president of the Enterprise Business at Fujitsu America, Inc. "Fujitsu is the first global ICT company to productize a Big Data storage solution, one built upon a highly-recognized, open-source storage software stack and with the capabilities to provide unlimited, highly scalable storage. The ETERNUS CD10000 enables organizations to cross the Petabyte divide by successfully addressing both the scalability and manageability issues that come with Big Data."
Truly unlimited scalability: A new era of no-limits storage capacity
The new ETERNUS CD10000 system heralds a new era of extremely high capacity solutions for everyday data retention and management problems. At launch, the system supports capacities up to 56 PB (56,000 TB) of online data through the aggregation of up to 224 storage nodes. Next year, Fujitsu will introduce updates allowing for far higher scalability.
The architecture of this new hyper-scale, distributed scale-out eco-system allows individual storage nodes to be added, exchanged and upgraded in an organic way without downtime, helping the entire system – and its data – to live forever. Backwards compatibility means newer nodes can work alongside older, guaranteeing investment protection in the new ETERNUS system.
Fujitsu has based the new enterprise-ready system on the open source-based storage software available from Red Hat, Inktank Ceph Enterprise and added functional enhancements to deliver comprehensive management, with the system operated as a single pane of glass. On a global level, the complete and comprehensive Fujitsu maintenance and support services enable customers for the first time to rely on the delivery of true enterprise-class service levels for a storage system based on open source software. ETERNUS CD10000 offers the unique ability to present a truly unified view of block, object and file storage in a single distributed storage cluster – reducing complexity, lowering storage management costs and optimizing existing physical disk space for data storage.
"Red Hat is committed to providing enterprise customers with a comprehensive open, software-defined storage portfolio spanning physical, virtual and cloud environments," said Ranga Rangachari, vice president and general manager, Storage and Big Data, Red Hat, Inc. "Our alliance with industry-leading IT providers, such as Fujitsu, enables Red Hat to deliver proven storage solutions for enterprises managing petabyte-scale data. By combining the Red Hat Inktank Ceph Enterprise storage software with the new hyperscale storage ETERNUS CD10000 system from Fujitsu, we can offer our customers speed and agility to realize the possibilities of the next-generation hyperscale environment."
As a result, the ETERNUS CD10000 from Fujitsu delivers compelling new economics for organizations managing large Big Data storage, such as cloud and telco service providers, financial, media and business analytics organizations, plus any other environment where online data volumes are exploding.
