Thanks for the suggestion! Actually I have already started to look into 
using Backend instance to build a memcache service. Do you know the service 
behavior of backend instance on multiple parallel requests? Will these 
requests be queued and served one by one, or will multiple requests be 
process in parallel? I could not find any document on its behavior. When 
traffic grows, since backend memcache instance can become a bottleneck to 
the system, it's important for me to understand capacity of each instance 
and plan ahead.

And I really like your idea of cloud-sql! It seems support parallel 
requests by default. If data is mostly stored in memory, its performance 
should be good. I will also look into it. If anyone on the forum has some 
performance data on cloud-sql instance, please share with me.

Thanks!

On Thursday, May 24, 2012 7:25:24 AM UTC-7, barryhunter wrote:
>
> > Or is there a 
> > paid memcache service that I can use? 
>
> Well you can setup a "memcache like" service running on a backend 
> instance. In theory you could utilise the whole of the instance memory 
> to hold data. 
>
> So could get 1G of 'memcache' for $0.64 an hour. 
>
> --- 
>
> Or a slightly more quirky idea is to use cloud-SQL :) 
>
> https://developers.google.com/cloud-sql/docs/billing 
>
> Should be cheaper than a backend instance for the equivilent amount of 
> memory. The mysql query cache, should give you memcache like 
> performance. Plus also can use the disk to make storage go further. 
>
>
>
> (in theory, cloud-sql for plain key lookups should be faster than the 
> datastore - which is the main reason to use memcache - memcache is 
> faster than the datastore) 
>

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