April 2008 - Posts

  • Welcome to the party!

    Today marked the announcement of another entry into the foray of "new" systems designed for cloud computing.   I make light of "new" as this is a space Dell has been serving for over a year now.    And along the way we've found that the unique needs of hyperscale customers demand a hands-on (and often very discreet) co-development approach.   Power and space savings vs. general purpose servers in the magnitude of those quoted in the press today are really just the ticket to entry into these environments.   I'm glad IBM shares Dell's appreciation for that.  

    One element of today's announcement I'd like to call into question is what is being presented to customers as "entirely new" - things like door panel cooling, half-depth servers and proprietary racks.    Who are these "innovations" really benefitting when they're not built on industry standards in the end? Is it the customer or the system provider's bottom line? Cooling is an incredibly complex topic - that heat has to be rejected somewhere and there are no silver bullets.   The best solutions are often rooted in the basics - hot/cold air containment, higher return temps etc... and we have found that a lot can be done even in hyperscale cloud computing environments without adding a lot of unnecessary complexity.

    From a marketecture standpoint I have to give a tip of the hat to the Blue Cloud initiative although I don't sense tangible benefits for any customers yet.   Leadership is delivering.  The top 5 search engines (in the U.S. market) are Google, Yahoo, Microsoft, AOL and ASK.  It's widely known that Google builds their systems in-house.  Of the remaining top five, three have worked with Dell in the past year to co-develop their servers with our Data Center Solutions team.   Not a bad start considering the dawn of customized, build-to-order cloud computing servers just came today.... 

     

  • Cloud Computing Model

    Probably the best next step for this discussion is to begin to build a top to bottom model of Cloud Computing.  I think there are about 12 major pieces to it so this is going to take a while.  As I mentioned earlier, “Cloud computing”, I believe, may in fact become the basis for most modern IT services in the next few years.  We also put forth this definition with which most folks seem to agree……“Cloud computing” -  packaging of computing resources in a manner that will provide lower acquisition cost of hardware and in a way that provides a set of optimized services to the end user via the Internet in the most cost effective, operationally efficient means possible.   So I took a stab at the model for this which is shown here:

    Capture

    At this point it is certainly OK to disagree! …. In fact, I have found myself arguing with myself about it already. :o)  So we’ll pause here and let folks take this in.  Then we will start layer by layer to make sure is correct.  My hope is not only can we build an agreeable model at the technical level, but a financial model from which we can get TCO and other information.  Feel free to comment…

     

  • Infrastructure challenges for cloud platforms

    One of the topic areas we'd like to talk about is the impact of power and cooling trends on hyperscale operations.  As the size of scale-out platforms grows ever larger, server designs continue to drive for increased density.   In this first post to our power and cooling section, Drew Schulke of the DCS Services team takes a look at some of the factors impacting organizations that house high-density systems in a co-location facility.  If you house a large compute pool based on blades or other high-density solutions in a colo facility please take a look at Drew's post and tell us what you're seeing.

  • High-Density & Co-Location

    Earlier this year I had the opportunity to tour a recently-commissioned, carrier-neutral co-location data center. Located on the outskirts of a major city, and run by one of the major co-location providers in the U.S., it was clearly a state-of-the-art facility with Tier III uptime, impressive physical security, and access to dozens of telecommunication carriers and ISP’s.

    What struck me most about this particular facility was its power density – only 4kW/rack. That’s not to say the provider would turn away a customer with racks pulling 16kW of IT load. In such a situation, the provider would lease higher power circuits and “phantom racks” of white space to bridge the power and cooling gaps. Pretty soon, that one 16kW rack looks a lot like four 4kW racks in terms of cost and footprint.

    With blades and high-density compute solutions pushing IT loads orders-of-magnitude beyond 4kW/rack, I was perplexed as to why a co-location provider would invest in a facility that appears to ignore all of the industry trends around the growth in IT load over time. Yet, this particular provider is not atypical. Unless a customer is willing to invest in a wholesale lease of a data center, it’s a challenge to find co-location providers capable of supporting power loads greater than 4kW/rack.

    Clearly, the economics of the co-location plays a role. According to Gartner, 60-70% of a data center’s CAPEX lies in the mechanical and electrical infrastructure that defines the total supportable IT load. To build a data center capable of supporting 8kW/rack, and have customers deploy racks pulling less than 8kW is an opportunity cost the provider cannot afford. To increase NPV on the facility investment, design to the lowest common denominator of IT load, and charge for density via circuits and white space.

    While co-location providers are acting rationally in building such facilities, innocuous decisions on the part of a customer can yield counterintuitive cost increases. Using quotes from some of the major co-location providers, I ran a simple case study for a customer replacing five 2kW racks with four 5kW racks as part of a refresh and consolidation effort. Between annual fee increases (which have been steeper than usual lately), setup, circuit premiums, and incremental white-space, the customer’s 20% reduction in enterprise hardware yielded a 155% Y/Y increase in co-location costs.

    For companies that lack the critical mass to build-out their own data-centers, and depend upon an expanding footprint of enterprise hardware to grow their business (e.g. start-up Web 2.0 companies), these are a challenging set of market dynamics. We’d certainly like to hear from firms if they’ve experienced something similar first-hand, and what strategies can help mitigate the impact to the bottom-line.

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