The elephant in the room has not gone away Massimo. Web2py is great for small projects.
DotNet is great for small and large projects. The elephant in the room is not only the untested scalibility of web2py but also the amount of resources that neeeds to be thrown at web2py compared to DotNet and other frameworks as scale increases. One of the glaring defciences in web frameworks that use Python is the glaring engineering weakness of using thread per request web serving instead of using event per request web serving. I think I have pointed this out a number of times on this fourm, but it just does not sink in. I even pointed out how Linux loast a PR war over this issue. There is no need for Python based web frameworks to use thread per request web serving. John Heenan On Nov 30, 4:05 am, mdipierro <[email protected]> wrote: > You achieve scalability by replicating the web server behind a load > balancer. This is documented in the book, chapter 11, using HAProxy. > All frameworks work the same way in this respect. web2py has no > intrinsic limitations. The bottle neck is the database connection. All > frameworks have the same problem. You can replicate the database too > and web2py supports multiple database clients with Round-Robin. > > On a small VPS, web2py in average, should execute one page in 20ms. > Depending on how many requests/second you need you can determine how > many servers you need. > > web2py apps run on Google App Engine and that means arbitrary > scalability as long as you can live with the constraints imposed by > the Google datastore (these limitations will go away as soon as Google > releases MySQL in the cloud, which they announced some time ago). > > Please ask the consultant: which .NET feature makes it scale any > better than web2py or Rails? If he explains we can address it more > specifically. > > Massimo > > On Nov 29, 11:56 am, Lorin Rivers <[email protected]> wrote: > > > The project I'm working on has hired a consultant who is now recommending > > .Net in place of web2py or even rails. > > > What's the 'largest' scale web2py is known to perform well on? > > > -- > > Lorin Rivers > > Mosasaur: Killer Technical Marketing <http://www.mosasaur.com> > > <mailto:[email protected]> > > 512/203.3198 (m) > >
