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Data Center Systems

Taneja Blog / Data Center Systems

Commvault HyperScale Software Delivers Cloud-Like Scalability, Ease-of-Use and Economics

The market for scale-out data protection solutions took a step forward last week at the coming out party for HyperScale offerings at Commvault GO (the HyperScale offerings were announced last month).

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Taneja Blog / Data Center Systems

Cohesity’s Hyperconverged Secondary Storage Unifies File and Object Services

Last week, Cohesity announced Orion 5.0. This latest release extends the Cohesity DataPlatform to support multiple hypervisors (including Hyper-V), backup for any NAS device and multiprotocol support to archive and access content via NFS,  CIFS, SMB and S3 protocols.

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Taneja Blog / Big Data / Data Center Systems

HPE Welcomes You To The Machine!

HPE has publicly rolled out their “The Machine” prototype, carrying 160TB of fabric-attached memory, 1280 ARM cores and 100Gb/s fiber interconnects.  Ok, so this is a whole lot of memory!  But it’s not just about memory.

In both HPC and big data analytics, and in increasingly converged applications that combine analytics with operational processes at scale, the game is all about increasing data locality to compute. Ten years ago we Hadoop unlocked massive data scale processing for certain classes of problems by “mapping/reducing” compute and big data across a cluster of commodity servers.  We might look at that as the “airy” and “cloudy” kind of approach.  Then Spark came about and showed how we really need to tackle big data sets in memory, though still across a cluster architecture.

Here today we see the bleeding edge of what aggressive hardware engineering can do to practically cram massive memory and large numbers of cores all together - compressing and converging compute and big data as densely as possible - in some ways a throwback nod to the old mainframe. Folks with highly-interconnected HPC-style modeling and simulation application needs that haven’t been well served by commodity scale-out (i.e. affordable) big data analytic architectures are going to want to look closely at this development. (and in fact, HPE has modified a Spark version to make different internal assumptions to match this new architecture to great affect (15x at least)).....

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  • Premiered: 05/16/17
  • Author: Mike Matchett
Topic(s): HPE The Machine Big Data Spark IoT Mike Matchett
Taneja Blog / Cloud / Data Center Systems / Software Defined/Virtualized Infrastructure

Open Wide and Say Ahh!

I’ve been immersed in “Open” for the last two weeks here in Boston, attending both Red Hat Summit 2017 and then OpenStack Summit. There are quite a few things worth paying attention to, especially if you are an enterprise IT shop still wondering how your inevitable cloud (and services) transformation is really going to play out, including accelerating application migration to containers and the rise of platform Management as a Service.

First, let’s talk about what’s new with Red Hat (RH).  As we’ve noted before, RH is an impressive company.

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  • Premiered: 05/10/17
  • Author: Mike Matchett
Topic(s): Red Hat OpenStack OpenShift MaaS MIY Platform9 CoreOS Mike Matchett
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