[SciPy-User] [SciPy-Dev] numpy and the Google App Engine

[Christopher Hanley]

On Wed, May 26, 2010 at 9:21 PM, David <david at silveregg.co.jp> wrote:
> On 05/27/2010 01:54 AM, Robert Kern wrote:
>
>> Not really. It is not intended for such purposes. It is intended for
>> the easy deployment and horizontal scaling of web applications. Each
>> individual request is very short; it is limited to 10 seconds of CPU
>> time. While numpy would be useful for scientific web applications (not
>> least because it would help you keep to that 10 second limit when
>> doing things like simple image processing or summary statistics or
>> whatever), it is not a source of CPU cycles.
>
> Besides what Robert said, I would also mention the datastore limitations
> given by the Google App Engine (no big blob of data, high latency,
> etc...) which make it quite hard to do something non-trivial even
> assuming numpy were available.
>
> It is also my understanding that EC2 is pretty competitive compared to
> GAE (but of course GAE does more for you). I did not know about picloud
> until two days ago, and I have only used GAE for a couple of months at
> work, but picloud seems like a much more usable service for scientific
> computing to me.
>
> cheers,
>
> David

If you are looking for a large data blob for GAE you might want to
sign up for the Google Storage for Developers service.  It was just
introduced at Google I/O.  You can find the project here:

http://code.google.com/apis/storage/


Chris




-- 
Christopher Hanley
Senior Systems Software Engineer
Space Telescope Science Institute
3700 San Martin Drive
Baltimore MD, 21218
(410) 338-4338