> > > When you face the problem of scaling to serve more concurrent requests, > either you do spawning more processes, or adding servers. > Adding frontend servers is easy: the data is transactionally consistent as > long as you have a single database instance. You put a load balancer in > front of frontends (it's relatively inexpensive) and go on. >
How am I suppose to *spawn more processes* ? PythonAnywhere has this concept of* workers*. The more workers the more you need to pay. Is spawning more processes related to buying more workers ? what kind of a hosting service/company is good at dealing with scaling and caching ?. I don't think Pythonanywhere allows Redis or Memcache....... thanks guys 10 seconds of silence isn't enough...........but silence is as 'workers' it's expensive...... -- Resources: - http://web2py.com - http://web2py.com/book (Documentation) - http://github.com/web2py/web2py (Source code) - https://code.google.com/p/web2py/issues/list (Report Issues) --- You received this message because you are subscribed to the Google Groups "web2py-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to web2py+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
