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Dan Bowers Reports Live from HP Blades Tech Day (#hpbladesday)



By Dan Bowers


At the HP Infrastructure Software and Blades Tech Day (twitter: #hpbladesday).


Gary Thome kicked things off by rattling off five things that were on his mind. Cloud computing and fabric types seemed to be on the blogger's minds, so those were main discussion points at the start.  


One discussion centered around fabrics of the future. What exactly is needed for the fabric that connects servers and storage? "Does the type of fabric even matter?" was the key question. THe consensus was there were two necessary (and perhaps sufficient) characteristics for the connection: It must be "virtualized", meaning flexible enough to be reconfigured on-the-fly, and it must be "the lowest cost at the maximum bandwidth." As long as the fabric meets those characteristics, the type may not matter. (They promised later today to talk mroe about FCoE.)


Mark Gonzalez of Nth Generation Computing talked a bit about what technologies his firm uses with its customers. Mark also dropped the first hockey reference of the day: "HP is like Wayne Gretsky. HP is like Wayne Gretsky. never the fastest skater on the ice, but was successful because he skated to where the pick was going, not where it was."



Simon Seagrave http://www.techhead.co.uk/ asked Mark how much interest there was from his customers for Matrix. "The major challenge with Matrix," said Mark, "is that most people don't know anything about it."


Stephen Foskett http://blog.fosketts.net/ (Microsoft MVP, excellent!) mentioned the "sea of BladeSystem" he saw at Microsoft recently, and said he'd be willing (with a little prodding!) to talk more about that later today.


Some struggles early on with the wireless cradles set up for the bloggers...sounds like it's getting fixed pretty quick.


...Daniel Bowers


www.hp.com/go/bladeblog




twitter: @DanielAtHp



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  • More than 25 years in the IT industry developing and managing marketing programs. Focused in emerging technologies like Virtualization, cloud and big data.
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