I would like to use web2py for a web application which has large databases
(really large) , expects high volume of traffic . Are there any ways to
make web2py apps run faster ? (like really faster ) , (looking for
solutions apart from pooling more hardware and replacing Cpython wth pypy ,
runn
I would like to use web2py for a web application which has large databases
(really large) , expects high volume of traffic . Are there any ways to
make web2py apps run faster ? (like really faster ) , (looking for
solutions apart from pooling more hardware and replacing Cpython wth pypy ,
runn
Hi,
I am very familiar with the concepts of threads, processes and scaling
issues. What i understand so far is:
(1) a web2py application process manages a number of threads dealing with
requests
(2) I can run one or more additional scheduler processes to unload the main
process (#1)
doing (2)
I'm planning to have 2 servers hosting web2py for load balancing and high
availability. Will sessions be persistent across both servers? If not, then I
need to make sure the load balancer always direct the same user session to the
same server? Is my understanding correct?
--
Resources:
- http:
Hi,
So now that my site has been developed with web2py I am now looking to
release it this month. However also this month we were hit by a sudden
increase of members 10,650 new in the last 2 weeks which doesn't look to be
slowing down. We are getting around 100,000 - 800,000 ad views a day.
Is th
I'm replying off list.
Your questions in this thread are more about general web architecture and
scalability issues than being specific questions about whether web2py is
suitable for your project.
If availability and scalability are your only true concerns, I'd -highly-
recommend using web2py on
Oops, had meant to reply to him off list, sorry everyone.
On Sep 1, 2012 3:51 PM, wrote:
> I'm replying off list.
>
> Your questions in this thread are more about general web architecture and
> scalability issues than being specific questions about whether web2py is
> suitable for your project.
>
On Sat, Sep 1, 2012 at 5:48 PM, Webtechie wrote:
>
> I would like to use web2py for a web application which has large databases
> (really large) , expects high volume of traffic . Are there any ways to make
> web2py apps run faster ? (like really faster ) , (looking for solutions
> apart from pool
Hi all,
For my current project I am making an interactive survey application for a
environment research project. Its currently hosted on GAE.
My problem is my Datastore read operations are through the roof. A few
users can max the quota in about an hour.
Ive tried switching DAL adapters from ga
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