Commendable... but insane!  I still think the answer is to move the
collector outside of GAE.  Hell, run it in Google Compute Engine.  I
have a java server that handles a thousand qps doing push
notifications on an $11/mo rackspacecloud vps... and that isn't even
topped out.

Ultimately you're just collecting a bunch of numbers, then providing
them to a reaper process.  You're spending 50X what you should and
writing all this ugly sharding code just because GAE backends have a
massive throughput problem.

I'm not saying abandon GAE, just move the parts that GAE does poorly
elsewhere.  I can't see any compelling reason to keep the collector in
appengine, and a lot of good reasons to move it.

Jeff

On Fri, Aug 3, 2012 at 9:39 PM, Richard <[email protected]> wrote:
> 6 hours of straight coding and testing later, we now have a new backend with
> 10 static B1's acting as a sharded memory proxy for the results.
>
> We seem to be handling around 900 players with no problems at the moment.
>
> Special thanks to Takashi for the design & a lot more!
>
> Time for some much needed sleep.
>
>
> On Friday, August 3, 2012 11:18:37 PM UTC-4, Takashi Matsuo (Google) wrote:
>>
>> Dynamic backend instances automatically scale up/down.
>>
>> On Aug 4, 2012 9:21 AM, "Richard" <[email protected]> wrote:
>>>
>>> Hi Takashi,
>>>
>>> Yes, I read your post with a theoretical model, but unfortunately, I
>>> don't really know how to tell it to scale up/down ?
>>>
>>> -R
>>>
>>> On Friday, August 3, 2012 6:07:10 PM UTC-4, Takashi Matsuo (Google)
>>> wrote:
>>>>
>>>>
>>>> Just wanted to make sure...
>>>> Have you seen my post about auto-scaling in-memory backends?
>>>>
>>>>
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