Discussion with Red Hat's Joel Berman and Nick Carr - 1st take

Discussion with Red Hat's Joel Berman and Nick Carr - 1st take

Summary: I recently had the opportunity to speak with Red Hat's Joel Berman, Product Management Director for Virtualization products, and Nick Carr, Director of Public and Analyst Relations. First of all, thanks guys for generously giving of your time to bring me back up to date on Red Hat's views of virtualization.

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TOPICS: Open Source
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I recently had the opportunity to speak with Red Hat's Joel Berman, Product Management Director for Virtualization products, and Nick Carr, Director of Public and Analyst Relations. First of all, thanks guys for generously giving of your time to bring me back up to date on Red Hat's views of virtualization.

I'm still digesting what we discussed but, here's my first few thoughts. As I am able to further integrate what I've heard and analyze it, I'll post more on this topic.

The first point I took away from our discussion is that Red Hat takes a very comprehensive view of virtualization that encompasses everything from virtual access software all the way through to virtual storage software. This view is based upon real-world usage of Red Hat's Enterprise Linux software rather than simply based upon what's hot in the media today.

Red Hat clearly understands that the mix of applications and the architecture of those applications differs between Linux/Unix and Windows and has tried to focus on the tools that would help organizations trying to get the most out of their Linux/Unix configrations.

Although what I'm about to say is no longer completely true, organizations still implement Windows applications as a set of services and assign each service to a separate machine or set of machines. For example, a database management system is unlikely to be hosted on the same machine as application services. The database engine, however, might be replicated on another machine in order to either increase the performance of the data management function or increase the reliability/availability of that function.

I must point out that Microsoft has made great strides in improving the reliability of Windows over the years. Directors of IT and IT architects have long memories and are chartered to "keep things going no matter what." They learned years ago that it was wise to implement Windows-based applications as a set of functions and assign each function to a specific server with either Windows NT and with Windows 2000. This is the basis of much Microsoft's virtualization strategy. It is a strategy that is largely focused on virtual machine software that allow many functional servers to share the same physical machine to improve machine utilization while also improving reliability and scalability of individual Windows-based functions.

Those same IT managers and architects learned that Linux, like its friend Unix, offer different reliability and performance characteristics. Due to those characteristics, it was safe to "load up" machines with all of the functions necessary to support a complete solution and, possibly, assign several complete solutions to a single large-scale machine. This is the basis of much of Red Hat's collective thinking on Virtualization. In Red Hat's world, clustering and virtual storage software is of greater use.

This is why much of Red Hat's focus is virtual access to computing solutions, high performance virtual application environments, clustering and availability software and virtual storage software. Their goal is helping Red Hat users to achieve the goals of performance, reliability, and availability in a Linux/Unix environment.

Red Hat is heavily involved with the Xen virtual machine software project and has included it in their most recent version of Red Hat Enterprise Linux. This software, however, is not their sole focus. It is part of a larger effort to help customers abstract complete solutions away from the underlying hardware.

Topic: Open Source

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Daniel Kusnetzky, a reformed software engineer and product manager, founded Kusnetzky Group LLC in 2006. He's literally written the book on virtualization and often comments on cloud computing, mobility and systems software. In his spare time, he's also the managing partner of Lux Sonus LLC, an investment firm.

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  • nice try , attempting punching below the belt.

    "They learned years ago that it was wise to implement Windows-based applications as a set of functions and assign each function to a specific server with either Windows NT and with Windows 2000."

    Ten to fifteen years back, the processing capability of x86 processors limited Windows capability
    exampe
    a) being 32 bit did not allow addressing capabilities of more than 4GB.
    b) x86 were at max 2 processor machines.



    However if a large task is to be handled, distributed computing is a better solution than getting a mainframe.


    Now that processing power of any processor is an overkill or many enterprise applications and hence you find interest in virtualization to consolidate servers.
    zzz1234567890
    • Perception and reality

      <p> RE: Single function Windows servers
      </p>
      <p> I'm sure you'll note that my comments centered on perception not reality. Many IT managers are conservative folks and once they learn that a product or service "works best" when used a certain way, they continue to use it that way. This is certainly true of Windows as of any other operating system.
      </p>
      <p> I'm sure you'll also note that the entry pointed out that Microsoft's operating systems are significantly more reliable than ever before. The fact that they've improved does not always change a decision-makers perception due to the fact that the perception in question was developed when "the best" way to use the software was for single function systems.
      </p>
      <p> Since using a single Windows-based system per function continues to work quite well, these decision-makers feel that it would be wise to continue the practice.
      </p>
      <p> RE: Distributed versus centralization
      </p>
      <p>&gt;However if a large task is to be handled, distributed computing is a better solution than getting a mainframe
      </p>
      <p> As one might expect, the performance of a distributed application is highly dependent upon a number of things including application architecture, speed and latency of the network, as well as a host of other factors. I don't think that such a blanket statement is really supportable when all of the variables are considered.
      </p>
      <p>If a task is made up of largely independent functions that are not dependent upon one another, it's likely that a distributed approach might perform better than a single-machine approach.
      </p>
      <p>If a task is made up of dependent functions that must complete in some specific order, putting the tasks that are waiting on a separate machine will not change the fact that they're waiting.
      dkusnetzky1
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