Hi Will,

I used an appcfg.py command, like this:

appcfg.py --num_days=1 --append --include_all request_logs <path to
your app root directory> myAppLogs.txt


On 14 oct, 17:47, Will <[email protected]> wrote:
> Alexis,
>
> Where can I find and download the said logs?
>
> Thanks,
>
> Will
>
>
>
>
>
>
>
> On Fri, Oct 14, 2011 at 1:30 AM, Alexis <[email protected]> wrote:
> > I have not read in details previous posts but would like to share some
> > figures on this subject.
> > I agree that setting max idle to automatic is very expensive, in my
> > case I adjusted the scheduler to get an acceptable balance between
> > latency and price.
>
> > In order to do so, I've downloaded logs from the application and
> > studied them.
> > The "pending_ms" tag being important here.
>
> > Instances graph:
> >http://dl.dropbox.com/u/497622/instances.png
>
> > I changed the max idle instances from automatic to 20.
> > Before change:
> > ----------
> > Out of 214903 studied requests we have:
> > (from 2011-10-13 09:23:07 to 2011-10-13 09:46:31)
> > Average ms: 303
> > Pending requests: 2.4 %
> > Global Average pending_ms: 45
> > Pending Average pending_ms: 1896
> > Loading requests: 0.0
> > ----------
>
> > 1h after the change:
>
> > ----------
> > Out of 270115 studied requests we have:
> > (from 2011-10-13 11:25:56 to 2011-10-13 11:55:46)
> > Average ms: 345
> > Pending requests: 17.3 %
> > Global Average pending_ms: 90
> > Pending Average pending_ms: 522
> > Loading requests: 0.3
> > ----------
>
> > So reducing the max idle instances settings had the following impact:
> > - general latency increase of only 50ms
> > - but 17% of the requests now wait 500ms before being served
>
> > This appears the be acceptable for our application, and the price
> > reduction is really worth it (from 240 instances down to 60!).
> > Having an even lower max idle instance setting (10? 5?) would further
> > increase latency while the price reduction would not be significant
> > (as we have many instances running).
>
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