Hi there is no one way of scaling i am afraid, depends on application to
application, technology stack and many other factors.

And then no one has ever managed to be perfect at it, not even google and
other giants.

I find some articles on this useful http://highscalability.com/

Cheers,
Adi
www.appliedeye.com



On Sun, Sep 27, 2009 at 7:45 AM, Nick Jenkin <[email protected]> wrote:

>
> There are several options:
> You can use a good load balancer which remembers connections and
> redirects connections to the same machine. This mostly solves the
> session problem.
> If you are doing it on the cheap, store the sessions in a DB. While
> memcached is certainly an option (and probably the best) - be sure to
> have significantly more memory available than you require, because if
> sessions start dropping out of your memcache due to lack of memory,
> you might have some confused customers.
>
> We use memcache extensively, it is great for caching data which
> doesn't change much (e.g. product data). Probably a waste of time
> caching data which changes often OR doesn't get used often, might as
> well just read it out of the DB. You can use DB slaves for that. With
> memcache it is mainly about maximizing your hit/miss ratio.
>
> Hire a consultant who has experience in this area before committing -
> it is very expensive to get it wrong.
> -Nick
>
> On Tue, Sep 1, 2009 at 2:34 PM, Mark S. <[email protected]> wrote:
> >
> > Hi everyone,
> > I am a bit curious about the way a large scale web-application, is
> > architecturally set up. Basically, it is load balanced web-server farm
> > and or load balanced database farm, which could be spread across
> > different data-centers and can be referred as a distributed
> > application. But, I want to know how does one keep track of resources
> > e.g. session-data, in such a setup? Is it a better idea to store all
> > such data in a database?
> > And, in case, you have a distributed set-up of memcache then, is it a
> > good idea to keep all the data e.g. sessions, frequently used queries
> > in the cache and use it as the primary resource of data retrieval and
> > let the database work in the back-end with, updating queries?
> > Where do I go to research more into these type of “enterprise” level
> > architectures?
> >
> > >
> >
>
> >
>

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