Mesabi Group Blog

IBM Introduces Platform Conductor for Spark

 Apache Spark is an open-source cluster computing framework for managing big data infrastructures that often leverage OpenStack Swift object stores. But organizations managing large clusters of compute and storage resources for multiple projects are finding themselves faced with challenges, such as performance and cost, that Swift by itself was not designed to handle. That is […]

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Load DynamiX: Optimizing Large Storage Infrastructures

 Large storage infrastructures are inherently complex, and their complexity is further exacerbated by the fact that they are not static, but rather dynamic. Dynamic changes include new and modified applications with demanding performance requirements, the possible addition of new technologies, such as solid-state devices (SSDs), tiers of storage, and new combinations/patterns in the infrastructure, such […]

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INFINIDAT: Back to the Future for Enterprise-Class Storage

Technology trends tend to mesmerize us, as we like to follow the latest and greatest trajectories. Software-defined storage, where storage management software is decoupled from the physical storage itself, is one such trend. Another is the adoption of flash for primary storage. Both are important and significant, but does that portend the end of traditional […]

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Caringo Filefly Breathes New Life Into NAS Storage

  The use of network attached storage (NAS) continues to be very popular but success brings challenges. Many enterprises would love to extend and expand their use of NAS but often run into trouble because of unnecessarily high primary storage costs. Storage is bloated in size because of the large number of files that unnecessarily […]

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Spectra Logic’s ArcticBlue Stores PBs on Disk Cost Efficiently

 Many organizations — like those in media and entertainment and in high performance computing (HPC) — find themselves challenged with maintaining multiple petabytes (PBs) of fixed content unstructured data, such as digital audio and video files, for long periods of time. Collectively, this data has ongoing value, such as for retrieving selected videos for revenue […]

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