Hmmm.  That means the problem isn't specific to memcache.  And that means
it might take longer for Google to fix this, if indeed they determine
there's a problem.

On Tue, May 22, 2012 at 4:15 PM, Robert Morgan <[email protected]>wrote:

> My graph is attached -- interesting, eh?
> I don't think we're using memcache in this instance.
>
> :R
>
>
> On Tue, May 22, 2012 at 2:04 PM, Rishi Arora <[email protected]>wrote:
>
>> Here's what my milliseconds/request looks like, although the #instances
>> follows a similar pattern, and translates directly into higher costs (5x
>> normal usage today)
>>
>>
>> On Tue, May 22, 2012 at 4:01 PM, Rishi Arora 
>> <[email protected]>wrote:
>>
>>> Perhaps similar to what I'm seeing.  Although I was able to use the
>>> appstats tool to determine that the deadlines were being missed
>>> specifically because of memcache API calls.  Perhaps you can determine from
>>> appstats if its the same for you?
>>>
>>> If so, please star this issue that I logged:
>>>
>>> code.google.com/p/googleappengine/issues/detail?id=7554
>>>
>>>
>>>
>>> On Tue, May 22, 2012 at 2:02 PM, Robert Morgan 
>>> <[email protected]>wrote:
>>>
>>>> Beginning about 18 hours ago, the milliseconds/Request on one of our
>>>> apps began to ramp and is now over 100 seconds for a trivial response
>>>> (which historically takes 2 seconds). Our other apps are fine, and the AE
>>>> status page is clear.
>>>>
>>>> It's an app that we use for development, it's been around for ages and
>>>> still runs the Master-Slave datastore. Python. The ramping just started --
>>>> we had not deployed a new server version in about a week, and our client
>>>> usage remains low and patterns haven't changed.
>>>>
>>>> I've poked at it trying to see if I can determine some threshold, but
>>>> even a very simple return now fails due to DeadlineExceeded.
>>>>
>>>> This really feels like it's a system issue -- any ideas on what I can
>>>> do next?
>>>>
>>>> Thanks,
>>>> :R
>>>>
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>>>
>>>
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