xeround.com comes to mind, and perhaps simpleworker.com (iron.io)

On Thu, Nov 3, 2011 at 9:05 AM, Kerri Miller <[email protected]> wrote:

> A couple quick ideas to explore..
>
> - is the memory limit the same on workers as dynos?
>
> - could you thread out the computations to different workers?
>
> - don't use Heroku's postgres, but an Amazon RDS or similar 3rd-party
> DB, to get around the connection limitation
>
> -k-
>
> On Thu, Nov 3, 2011 at 8:20 AM, Matthew Pocock
> <[email protected]> wrote:
> > Hi,
> > We are trying to develop a heroku app. Its data is stored in postgres.
> From
> > the control panel of the app, admins can kick of jobs that do bulk
> > mainipulation of the database. These processes potentially use a lot of
> > resources, which doesn't work very well at all on heroku. For example,
> one
> > of the analysis runs may need 2G memory for some matrix math. The web
> > front-end is light-weight and scalable.
> > We considered offloading the heavy lifting to an AWS instance. However,
> this
> > will need to talk to the same postgresql database as the heroku app does,
> > and the docs say, "No, connecting to your database from machines outside
> of
> > Heroku is not supported". The only other option we can see is to host an
> AWS
> > instance in the same datacenter that our heroku app interacts with
> through
> > REST, and manage our own database and vm lifecycle, but then we aren't
> > really gaining much over hosting the entire she-bang ourselves.
> > If you have any ideas, I'd love to hear about it. Are there any guides to
> > integrating components deployed on AWS with heroku? Any war stories?
> > Thanks,
> > Matthew
> > --
> > Dr Matthew Pocock
> > Integrative Bioinformatics Group, School of Computing Science, Newcastle
> > University
> > mailto: [email protected]
> > gchat: [email protected]
> > msn: [email protected]
> > irc.freenode.net: drdozer
> > skype: matthew.pocock
> > tel: (0191) 2566550
> > mob: +447535664143
> >
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