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Category: Solid state storage Flash Memory SSD

NVMe: Four Key Trends Set to Drive Its Adoption in 2019 and Beyond

Storage vendors hype NVMe for good reason. It enables all-flash arrays (AFAs) to fully deliver on flash’s performance characteristics. Already NVMe serves as an interconnect between AFA controllers and their back end solid state drives (SSDs) to help these AFAs unlock more of the performance that flash offers. However, the real performance benefits that NVMe can deliver will be unlocked as a result of four key trends set to converge in the 2019/2020 time period. Combined, these will open the doors for many more companies to experience the full breadth of performance benefits that NVMe provides for a much wider swath of applications running in their environment.

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Data Center Challenges and Technology Advances Revealed at Flash Memory Summit 2018

If you want to get waist-deep in the technologies that will impact the data centers of tomorrow, the Flash Memory Summit 2018 (FMS) held this week in Santa Clara is the place to do it. This is where the flash industry gets its geek on and everyone on the exhibit floor speaks bits and bytes. However, there is no better place to learn about advances in flash memory that are sure to show up in products in the very near future and drive further advances in data center infrastructure.

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NVMe: Setting Realistic Expectations for 2018

Non-volatile Memory Express (NVMe) has captured the fancy of the enterprise storage world. Implementing NVMe on all-flash arrays or hyper-converged infrastructure appliances carries with it the promise that companies can leverage these solutions to achieve sub-millisecond response times, drive millions of IOPS, and deliver real-time application analytics and transaction processing. But differences persist between what NVMe promises for these solutions and what it can deliver. Here is a practical look at NVMe delivers on these solutions in early 2018.

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The Five (and soon to be Six) Classifications of All-flash Arrays

The all-flash array market has settled down considerably in the last few years. While there are more all-flash arrays (90+ models) and vendors (20+) than ever before, the ways in which these models can be grouped and classified has also become easier. As DCIG looks forward to releasing a series of Buyer’s Guides covering all-flash arrays in the coming months, it can break these all-flash arrays into five (and soon to be six) general classifications based upon their respective architectures and use cases.

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Software-defined Data Centers Have Arrived – Sort of

Today organizations more so than ever are looking to move to software-defined data centers. Whether they adopt software-defined storage, networking, computing, servers, security, or all of them as part of this initiative, they are starting to conclude that a software-defined world trumps the existing hardware defined one. While I agree with this philosophy in principle, organizations need to carefully dip their toe into the software-defined waters and not dive head-first.

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Nimbus Data Reset Puts its ExaFlash D-Series at Forefront of All-flash Array Cost/Performance Curve

A few years ago when all-flash arrays (AFAs) were still gaining momentum, newcomers like Nimbus Data appeared poised to take the storage world by storm. But as the big boys of storage (Dell, HDS, and HPE, among others,) entered the AFA market, Nimbus opted to retrench and rethink the value proposition of its all-flash arrays. Its latest AFA models, the ExaFlash D-Series, is one of the outcomes of that repositioning as these arrays answer the call of today’s hosting providers. These arrays deliver the high levels of availability, flexibility, performance, and storage density that they seek backed by one of the lowest cost per GB price points in the market.

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Server-based Storage Makes Accelerating Application Performance Insanely Easy

In today’s enterprise data centers, when one thinks performance, one thinks flash. That’s great. But that thought process can lead organizations to think that “all-flash arrays” are the only option they have to get high levels of performance for their applications. That thinking is now so outdated. The latest server-based storage solution from Datrium illustrates how accelerating application performance just became insanely easy by simply clicking a button versus resorting to upgrading some hardware in their environment.

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Hyper-converged Infrastructure Adoption is a Journey, not a Destination

Few data center technologies currently generate more buzz than hyper-converged infrastructure solutions. By combining compute, data protection, flash, scale-out, and virtualization into a single self-contained unit, organizations get the best of what each of these individual technologies has to offer with the flexibility to implement each one in such a way that it matches their specific business needs. Yet organizations must exercise restraint in how many attributes they ascribe to hyper-converged infrastructure solutions as their adoption is a journey, not a destination.

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All-Flash Arrays Driving Need for 32Gb Fibre Channel; Interview with QLogic’s Vikram Karvat, Part I

All-flash arrays, cloud computing, cloud storage, and converged and hyper-converged infrastructures may grab many of today’s headlines. But the decades old Fibre Channel protocol is still a foundational technology present in many data centers with it holding steady in the U.S. and even gaining increased traction in countries such as China. In this first installment, QLogic’s Vice President of Products, Marketing and Planning, Vikram Karvat, provides some background as to why fibre channel (FC) remains relevant and how all-flash arrays are one of the forces driving the need for 32Gb FC.

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It was All About the Petabytes at the NAB Show

A little over a decade ago when I told people that I was managing three (3) storage arrays with eleven (11) TBs of storage under management, people looked at me with a mixture of shock and awe. Fast forward to 2015 and last week’s NAB conference in Las Vegas, NV, and it was hard to find many storage vendors who even wanted to have a conversation with a customer unless it had at least a petabyte of data under management.

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