Jeff,
If what you said is true, then Google should be honest about it and say
that all M/S app hosting clusters are deprecated, and they should clearly
state that "Any latency related issues on M/S-based apps will not be
investigated".  I have not seen such unambiguous statements from anyone at
Google.  I do agree though that the strongest reason yet to move to HRD is
to make Google pay closer attention to bug reports.

On Wed, May 23, 2012 at 1:37 AM, Jeff Schnitzer <[email protected]> wrote:

> 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 <[email protected]>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 <[email protected]> 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 <[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<http://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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