Nick Mellor a écrit :
Hi all,
I'm contemplating setting up a Python-powered website for the tourist
industry, which will involve a web service, a good deal of XML
processing, and a Django-powered front-end. If the project works, it
could get a lot of traffic. I'm sure it can be done, but I'm looking
to find out more about how existing high-volume Python sites have
managed their workload. Can anyone give me examples of high-volume
Python-powered websites, if possible with some idea of their
architecture?
youtube once used quite a lot of Python IIRC. You may be able to find
relevant infos on the net.
While I may disagree with Kutlu on some points[1], it's clear that the
key to handling huge traffic is the ability to scale up. So better to
avoid solutions that make it hard - or impossible - to setup load
balancing, replication etc. Now that doesn't mean than decent
performance and reasonnable memory usage are not a concern - even a
simple website with moderate traffic can become a PITA if you choose the
wrong tools / architecture (Plone perfs problems anyone ?).
Anyway : just make sure your solution is both simple enough to avoid
becoming a resource-eater yet serious enough to allow for fine-grained
caching, load-balancing and the like.
[1] like reinventing your own framework - whatever architecture
(including non-blocking IO/event-based server like Twisted) you settle
on, chances are most of the grunt work has already been done, and
probably better than what you could come with in a reasonable amount of
time - unless you have a really BIG budget of course.
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