Good points.

I rewrote the test so it fires off 20 requests from 20 distinct ip
addresses simultaneously, once a second 10 times.

In effect 20 concurrent requests, once a second.

I had about 15% loss and the request time degradation was there.  (2
seconds to fulfill a request on an idle system, 15 seconds under
load).

This still is no where near advertised load rates.


On Apr 15, 2:19 am, Barry Hunter <[email protected]> wrote:
> One thing that has become apprent is appengine, is designed to scale
> under real world usage.
>
> So if your App went from 0/1 users to 500 in a matter of seconds, then
> the system wont work well. You need to ramp up the usage slowly.
>
> Even a slashdotting would result in a 'ramp' usage.
>
> Also 500 users coming from once source, might be a bit suspicios, and
> appengine could be weary of a DOS attack.
>
> On 15/04/2009, Anonymous Coderrr <[email protected]> wrote:
>
>
>
>
>
>
>
> >  I have a fairly simple app - it looks up a couple of objects from the
> >  google datastore and then creates a page from django template - pure
> >  vanilla.
>
> >  I wanted to see how my app would perform under heavy load, so I set up
> >  a simulation where 500 virtual web-browsers would attempt to request
> >  my page twice - exactly at the same time.
>
> >  The results were dismal!!  Nearly 50% of the requests resulted in a
> >  "HTTP response code: 500" from GAE - not my application, but
> >  apparently GAE itself.
>
> >  I check my dashboard logs - no errors from my application.  No errors
> >  anywhere I could find.
>
> >  What can I do?  I'm not expecting 500 requests per second, but
> >  certainly maybe 100.  The best rate I can get according to the
> >  dashboard is about 4.5 requests per second.  The dev server running on
> >  my laptop does better than that!!!
>
> >  Thanks
>
> --
> Barry
>
> -www.nearby.org.uk-www.geograph.org.uk-- Hide quoted text -
>
> - Show quoted text -
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