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>> Linked In is a fast growing network, 16 million, 17 million members at this point growing about a million per month as I recall. And you're a data center guru so what are the data center considerations as you're scaling up this company?
>> I'm really more of a scaling guru than a data center guru it's just that a lot of the interesting scaling problems over the last 10 years have been how do we house these infinite numbers of computers. That's a solved problem now and it's boring, I'm sorry, so I've got to go find other things that are interesting to scale. I was quite surprised when I joined the company. Usually when I come into a small company the infrastructure's burning to the ground and that's the first thing I have to fix. Well, to the credit of the folks who are still there and have been there for 3 or 4 years there's a rock solid infrastructure they designed and built. It's very uncommon to come into a company and see it well done. The key value in any kind of social networking or business networking site is the graph or the connectivity map of how people are connected. And the big challenge here for me and it's very different than my previous companies is not how do I handle a billion queries per second it's how do I get the maximum value for my users out of their connectivity. So there's a lot of very interesting stuff going on in graph theory right now in Stanford and some at MIT, there's actually some interesting quantum applications of graph theory. And a lot of what I'm trying to do now is to understand how to add value, how to add capacity and capability to the graph or what we call The Cloud so that our end users can leverage the connections they already have.
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==== Transcribed by Automatic Sync Technologies ====
