Re: 1 Million users.. I can't Scale!!

In article <o82dnXzljuOk16beRVn-iA@rcn.net>,
Jeff Schwab <jeffrey.schwab@rcn.com> wrote:
>
>Sure, multiple machines are probably the right approach for the OP; I
>didn't mean to disagree with that. I just don't think they are "the
>only practical way for a multi-process application to scale beyond a few
>processors," like you said. For many (most?) applications in need of
>serious scalability, multi-processor servers are preferable. IBM has
>eServers available with up to 64 processors each, and Sun sells E25Ks
>with 72 processors apiece. I like to work on those sorts of machine
>when possible. Of course, they're not right for every application,
>especially since they're so expensive.

Do these use shared memory?

-- 
Aahz (aahz@pythoncraft.com)           <*>         http://www.pythoncraft.com/
The way to build large Python applications is to componentize and
loosely-couple the hell out of everything.