I believe so.

Google has made it pretty clear that M/S is deprecated and life on M/S will 
continue to get worse and worse.

On Dec 2, 2011, at 10:54 AM, Rishi Arora wrote:

> :)  So I'm SOL, without HR?
> 
> On Fri, Dec 2, 2011 at 9:50 AM, Joshua Smith <joshuaesm...@charter.net> wrote:
> You can't use 2.7 unless you migrate to HR.
> 
> Once you migrate to HR, the datastore read timeouts go away.
> 
> And then you don't need to migrate to 2.7.
> 
> -Joshua
> 
> On Dec 2, 2011, at 10:37 AM, Rishi Arora wrote:
> 
> > Earlier this morning I had a situation where datastore reads were timing 
> > out.  That's okay, and expected, given that I use a M/S datastore.  
> > However, the timeouts were of the order of 50 seconds, causing nearly 30 
> > front-end instances to be spawned.  My usual number of active front-end 
> > instances at that time of the day is about 5, peaking at 15 occasionally.  
> > This condition lasted only 3 minutes or so, and so, the cost impact was 
> > minimal.  However, I can imagine that if this lasted an hour or more, I 
> > would incur a lot of costs while the downtime persists.  I'm okay with such 
> > downtimes, as long as it only leads to my customers not being able to 
> > access my site.  But if it also leads to unnecessary increases in costs, 
> > then it calls for further optimization.  So, my loaded question is - how 
> > can I handle this with python2.5?  Is python 2.7 the only answer?  I 
> > imagine python2.7 will help because while a front-end is waiting for data 
> > store ops to complete, it can process other requests.  But are there other 
> > ways of setting specific timeouts to datastore operations?  So, if these 
> > operations are taking too long, I'd rather just return an error to the 
> > user, instead of letting my front-end run indefinitely.
> >
> >
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