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

[Aahz]

In article <o82dnXzljuOk16beRVn-iA at rcn.net>,
Jeff Schwab  <jeffrey.schwab at 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 at pythoncraft.com)           <*>         http://www.pythoncraft.com/

The way to build large Python applications is to componentize and
loosely-couple the hell out of everything.