Greg,

How could us start using it (reserved instance) before new pricing ?

I'm asking because I think that what increases the "instance hours" is the
15-min startup penalization, am I wrong ?

On Wed, Aug 31, 2011 at 5:56 PM, Gregory D'alesandre <[email protected]>wrote:

> Hey Robert, the simplest thing that will reduce your bill will be to use
> reserved instance hours.  The bill estimates are for full priced
> instance-hours.  Are most of the apps java or python?  If java, are you
> using concurrent requests?  If python, do you want to participate in the
> python2.7 trusted tester to try out concurrent requests and give us
> feedback?
> https://docs.google.com/spreadsheet/viewform?formkey=dDVaelk0NkhHMVA2NU5kS1hfajNfM0E6MQ
>
> Thanks!
>
> Greg
>
>
> On Wed, Aug 31, 2011 at 1:51 PM, Robert Kluin <[email protected]>wrote:
>
>> My apps *are* quite optimized.  They are extremely fast, consume,
>> minimal RAM and very little CPU -- but there isn't much I can do about
>> the number of instances used.   I consistently see well under 2 QPS /
>> instance -- for requests that always return in under 200ms.  Seems
>> like the scheduler is performing  quite poorly.
>>
>>
>>
>>
>>
>>
>> On Wed, Aug 31, 2011 at 15:36, Alon (Google) <[email protected]> wrote:
>> > Please make sure to look at the strategies outlined in our new article
>> > to try to optimize your app's resource usage:
>> > http://code.google.com/appengine/articles/managing-resources.html
>> >
>> >
>> > On Aug 31, 1:33 pm, Robert Kluin <[email protected]> wrote:
>> >> Instance hours are the killer here too, seeing between 2x and 4x
>> >> depending on the app (with 50% discount).
>> >>
>> >>
>> >>
>> >>
>> >>
>> >>
>> >>
>> >> On Wed, Aug 31, 2011 at 15:28, Waleed Abdulla <[email protected]>
>> wrote:
>> >> > It's 300% for me (3x what I pay now). Most of the cost is datastore
>> writes
>> >> > and reads, followed by instance hours.
>> >>
>> >> > On Wed, Aug 31, 2011 at 1:26 PM, pdknsk <[email protected]>
>> wrote:
>> >>
>> >> >> It's an about 50% increase for me, because of datastore writes.
>> >>
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