Red Hat launches the Open Software-Defined Storage experience at HP Grenoble Customer Centre

Red Hat, Inc. has announced the availability of the open software-defined storage experience at the HP Customer Center located in Grenoble, France.

  • 10 years ago Posted in

Enterprise IT customers managing big, unstructured data workloads can now gain first-hand knowledge of open software-defined storage on leading storage servers through a hands-on experience of the combined Red Hat Storage and HP ProLiant SL4540 Gen8 solution. In addition, Red Hat and HP launched a solution portal for online demonstrations of the joint solution and various workloads.


Software-defined storage comes in second in the top ten trends you need to watch according to Gartner’s December 2013 webinar, “Top Ten Trends and Their Impact on IT Infrastructure and Operations.1 In addition, the same Gartner webinar cites, “In the next 5 years the average enterprise will see data capacities grow more than 800%.” This near-term data explosion calls for IT managers to immediately consider the value of an integrated software-defined storage and compute solution that can easily scale in a flexible and cost-effective way.


The HP ProLiant SL4540 Gen8 servers provide up to three HP ProLiant compatible servers integrated with up to 60 storage drives for an extremely flexible storage server configuration. Designed specifically for big data environments, the HP ProLiant SL4540 Gen8 server reduces cost and power consumption through breakthrough storage density and flexible server configurations delivered within a dense 4.3U package, providing as much as 240TB of storage per standard rack.
Red Hat Storage connects the individual storage servers into a unified cluster of scale-out storage for unstructured data. Built on the trusted Red Hat Enterprise Linux operating system and the proven GlusterFS distributed file system, Red Hat Storage provides a reliable, open-source storage solution for unstructured data by easily scaling to petabytes while offering common data management services such as pooling, partitioning, mirroring, and load balancing across a cluster of storage servers, coupled with multi-site data replication.
 

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