Re: Running cherrypy as a WSGI webserver

Stephan Semerad <[email protected]> Tue, 11 Jul 2017 13:36:24 -0700 (PDT)
Newsgroups gmane.comp.python.cherrypy
Message-ID <[email protected]>
it depends what you are trying to do. 

you can let things be processed on the different servers that communicate 
with each other on resful services... Spreads around computing power.
not sure why you are running 2 frameworks though... 

On Friday, July 7, 2017 at 7:53:17 PM UTC+2, Rita Morgan wrote:
>
> what would I need to handle requests asyncnously? multiple processing 
> makes sense but not sure how I can handle that with cherrypy.
>
>
> On Friday, July 7, 2017 at 1:11:58 PM UTC-4, Ralph Heinkel wrote:
>>
>> If the requests are very much CPU bound then this number (10 * 15) seems 
>> right - python (due to the global interpreter lock) will not be able to 
>> process those threads in (real) parallel . 
>>
>> If your requests however are mainly i/o bound then parallel processing 
>> via threads should actually show in a reduction of the overall (wall clock) 
>> time.
>>
>> In case of CPU intensive requests I would suggest to run multiple 
>> processes (in case your server has more than one CPU) -- this should 
>> actually speed up things.
>>
>> Ralph
>>
>> On 07/07/2017 06:46 PM, Rita Morgan wrote:
>>
>> Running cherrypy along with flask. I know a certain web request takes ~15 
>> secs. So, when I run it concurrently (10 threads). I would expect the time 
>> to be around 15 secs. But the time is 15*10 seconds so I believe the 
>> requests are going syncrnously. Is there a way to verify this? 
>>
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