While I am sympathetic to your plight, I think there's a mistaken
assumption in this issue.

A number of Google comments in public threads have led me to believe that
M/S apps run in entirely separate clusters (possibly in entirely separate
datacenters) from HRD apps.  It's likely that all of the infrastructure -
memcache, task queue, urlfetch, etc - are separate.  When Google says
"we're deprecating Master/Slave" they're really thinking "we're deprecating
the entire cluster", including all these other services.  So when anything
at all goes wrong in the old cluster, the solution is the same - move to
HRD.

There may very well be problems with memcache in the HRD cluster(s), but it
will be hard to get anyone to pay attention unless the issue is
demonstrated.  This is a little like someone reporting a bug in a very old
version of a piece of software.  Yes, that bug shouldn't be there, and
maybe it is still present in the new version, but the first step towards a
solution is still "upgrade".  Nobody pays attention to bug reports in
obsolete software.

So... upgrade to HRD.  At the very least this will cause Google to pay
closer attention to your bug reports.  It might even fix the issue.

Jeff

On Tue, May 22, 2012 at 9:55 PM, Rishi Arora <rishi.ar...@ship-rack.com>wrote:

> If you believe this may be because of memcache API latency, please star
> this issue:
> http://code.google.com/p/googleappengine/issues/detail?id=7554
>
>
> On Tue, May 22, 2012 at 11:44 PM, Daniel <danielkra...@gmail.com> wrote:
>
>> I'm seeing the same issue.. for the last 3
>> days latency has skyrocketed and my costs have over doubled.   Here's my
>> graph for the past 7 days
>>
>>
>>
>> <https://lh5.googleusercontent.com/-JCpRQX6MeFk/T7xrHDMMX8I/AAAAAAAAAzk/LcVjYw1awMo/s1600/skywords.jpg>
>>
>>
>> On Tuesday, May 22, 2012 2:04:53 PM UTC-7, Rishi Arora 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 
>>> <rishi.ar...@ship-rack.com>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<http://code.google.com/p/googleappengine/issues/detail?id=7554>
>>>>
>>>>
>>>>
>>>> On Tue, May 22, 2012 at 2:02 PM, Robert Morgan 
>>>> <gummywubb...@gmail.com>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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