Sorry for the late followup,

Your issue has already been escalated internally on July 28 2011 but
single application failure usually take more time to get diagnosed
than problems affecting more than one application.

I just updated the production ticket with more detail on the ongoing
investigation.

On Mon, Aug 8, 2011 at 8:53 PM, observer247 <prem...@gmail.com> wrote:
> I would like to know clearly if the over-usage charges are:
>
> expected for the kind of usage I have and the code we have ? or
> a bug caused by some bug or issue with app engine.
>
> Based on that, we will make a decision. Because a simple memcache read
> and return was using high cpu numbers. We need that answer to decide
> whether to:
>
> optimize the code ? or
> wait for Google to fix issues on their side ? or
> not wait for an infinite time before we can get an answer while paying
> $600 a month and move to another host ?
>
> As days are flying (15 days gone by already), I am almost decided that
> it was a bad idea to assume that it was ok to host my application on a
> proprietary network hosted by a reliable company. Now I guess we
> should spend the next 15 days trying to rewrite the code in php/mysql
> and move to a more portable host.
>
> We are still waiting for the answer.
>
>
> On Aug 3, 1:27 am, Johan Euphrosine <pro...@google.com> wrote:
>> Sorry for the late followup, I just updated your issue.
>>
>> FYI, we believe that the problems experienced by most of the Apps on
>> this thread were due to a temporary datastore latency, as you can see
>> there:http://code.google.com/status/appengine/detail/datastore/2011/07/27#a...
>>
>> This cascaded into a higher HTTP latencies for some Python
>> applications running on Master/Slave Datastore Replication 
>> system:http://code.google.com/status/appengine/detail/serving/2011/07/27#ae-...
>>
>> We offered the affected app to assist them to migrate to HRD, where
>> apps are not subject to those transient latency issues.
>>
>> For the record Issue #5415 might be a different beast, as appstats
>> doesn't report any datastore operation but still high latency.
>>
>> I already escalated it to the engineering team and will followup on
>> the bug report once I have any updates.
>>
>> Hope that helps.
>>
>>
>>
>>
>>
>>
>>
>>
>>
>> On Wed, Aug 3, 2011 at 4:18 AM,observer247<prem...@gmail.com> wrote:
>> > Issue number is 5415
>>
>> > It has been more than a week and I am yet to get a useful response on
>> > the ticket.
>>
>> > On Jul 21, 4:20 am, Johan Euphrosine <pro...@google.com> wrote:
>>
>> >> Feel free to open a Production Issue for problem like this affecting
>> >> directly your application 
>> >> operation:http://code.google.com/p/googleappengine/issues/entry?template=Produc...
>>
>> >> If you do so, please reply to this thread with the issue number, so we
>> >> can followup.
>>
>> >> Hope that helps.
>>
>> >> On Thu, Jul 21, 2011 at 10:24 AM,observer247<prem...@gmail.com> wrote:
>> >> > Is this is because of the new pricing, I would rather move out of
>> >> > Google app engine.
>>
>> >> > We have over 10 apps serving our iPhone apps. It will take us a lot of
>> >> > effort to port this code to php/mysql but I guess if the pricing
>> >> > changes like this, we cannot afford to pay such high prices.
>>
>> >> > I am not sure if there is a phone number or support chat. When I am
>> >> > paying $1000 per month for a service, I would expect to talk to a real
>> >> > person and share with him the issues I am facing.
>>
>> >> > On Jul 20, 1:14 am,observer247<prem...@gmail.com> wrote:
>> >> >> Almost the same usage is now triggering 10times the daily cost ! Not
>> >> >> sure what changed as far as billing.
>>
>> >> >> Checking appstats and instances.
>>
>> >> >> On Jul 19, 2:55 pm, Barry Hunter <barrybhun...@gmail.com> wrote:
>>
>> >> >> > Have you tried 
>> >> >> > AppStats?http://code.google.com/appengine/docs/python/tools/appstats.html
>>
>> >> >> > On Tue, Jul 19, 2011 at 8:31 PM,observer247<prem...@gmail.com> wrote:
>> >> >> > > My python app engine app is somewhat popular, mainly used as via 
>> >> >> > > api
>> >> >> > > from my iphone app.
>>
>> >> >> > > Recently I am seeing high over usage charges.
>>
>> >> >> > > The most used call already use 15 CPU hours , with stats:
>> >> >> > >        3.7 calls/sec   26.15K requests in 12hrs        603 (0) 
>> >> >> > > [cpu]
>>
>> >> >> > > HTTP/1.1" 200 1839 - "QandA/5.4 CFNetwork/485.12.7 Darwin/10.4.0"
>> >> >> > > "may.latest.nuvusanswers.appspot.com" ms=1490 cpu_ms=467 
>> >> >> > > api_cpu_ms=0
>> >> >> > > cpm_usd=0.013200 pending_ms=1058 throttle_code=1
>> >> >> > > instance=00c61b117c8b0de1286e8d90c22f4d5b3897c8
>>
>> >> >> > > This call just reads a memcache and returns the data. Thats it. 
>> >> >> > > Will
>> >> >> > > really like to know are memcache reads so expensive ? Am I using a 
>> >> >> > > lot
>> >> >> > > more memcache that I need ?
>>
>> >> >> > > I have removed all other versions and have just one version 
>> >> >> > > running.
>> >> >> > > The number of instances now is
>>
>> >> >> > > 28 total        0.510 (Average QPS)     281.1 ms (Average Latency) 
>> >> >> > >      59.5 MBytes
>> >> >> > > (Average Memory)
>>
>> >> >> > > As this is the most expensive call, I am first going after that. 
>> >> >> > > but I
>> >> >> > > am seeing most of my calls are now using a LOT of CPU. Will be 
>> >> >> > > great
>> >> >> > > if anyone can point me to things I can debug to find out the high
>> >> >> > > usage across the board.
>>
>> >> >> > > Thank you for reading this !
>>
>> >> >> > > --
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>>
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>>
>> >> --
>> >> Johan Euphrosine (proppy)
>> >> Developer Programs Engineer
>> >> Google Developer Relations
>>
>> > --
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>>
>> --
>> Johan Euphrosine (proppy)
>> Developer Programs Engineer
>> Google Developer Relations
>
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-- 
Johan Euphrosine (proppy)
Developer Programs Engineer
Google Developer Relations

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