Alon,

Today, if I look at the Instances graph, the number of Total Instances
is much higher than the Active Instances (and always has been) - in
our case at the moment: 600 Total to about 150 Active.

Question: is the sample billing based on the Total Instances? I.e., is
tuning down the Max Idle Instances a really easy cost savings?

P.S., here are the shocking numbers we're facing:

app1: 3.8x increase (5.3x increase when Python instances go up in
price, unless we can get to 2.7 and thread-safety in time)
app2: 17.8x increase (34x increase when Python instances go up in
price, unless we can get to 2.7 and thread-safety in time)

In terms of real $$, for app1, we are looking at going from around
$60,000 / year to around $318,000 / year - that is a LOT of moola for
an application. If we cannot optimize down, it will be a prohibitive
amount of moola.

j


On Aug 31, 3:47 pm, "Alon (Google)" <[email protected]> wrote:
> Hi All,
>
> If your large bill increase is attributable primarily to Frontend
> Instance Hours, one of your best bets is to go to your 'Application
> Settings' page and reduce the value for Max Idle Instances (don't
> forget to click 'Save Settings'). You can use the 'Instances' graph on
> your dashboard to help you to choose a good value -- and you should
> also be able watch the effect on that same graph.
>
> -Alon
>
> On Aug 31, 2:38 pm, Arnaldo M Pereira <[email protected]> wrote:
>
>
>
>
>
>
>
> > 160% increase in one app for me, 65% in another.
>
> > In my case, I don't think it'll be enough to have a comparison table and an
> > optimization doc. I'll make an effort to optimize more my app, but I have
> > the feeling that this has became too expensive for most of my needs now.
>
> > On Wed, Aug 31, 2011 at 6:08 PM, Felippe Bueno 
> > <[email protected]>wrote:
>
> > > 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=dDVaelk0NkhHMVA2...
>
> > >> 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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