I don't have enough hard data to give a recommendation, unfortunately.

Andrew

On Mon, Oct 9, 2017 at 7:14 PM, Piet van Leeuwen <livandp...@gmail.com>
wrote:

> On a server is there a recommendation for how many workers to have running?
>
> With Gunicorn we would run...
>
> def max_workers():
>     return cpu_count() * 2 + 1
>
>
>
>
> On Thursday, February 9, 2017 at 11:38:07 AM UTC+13, Andrew Godwin wrote:
>>
>> The difference is mostly in Python performance - threading in Python
>> tends to perform worse than using multiple processes, which is why we
>> recommend using multiple processes in the docs. However, you can save a bit
>> of memory usage with threading, so you can use that if you want.
>>
>> I would not, however, recommend running more than 2 - 4 threads per
>> process, as otherwise you'll likely see performance take a slide due to the
>> GIL.
>>
>> Andrew
>>
>> On Wed, Feb 8, 2017 at 11:53 AM, Charlie DeTar <cha...@gmail.com> wrote:
>>
>>> What's the best way to launch multiple Django channels workers on a
>>> production server to take advantage of extra cores?
>>>
>>> The documentation says
>>> <https://channels.readthedocs.io/en/stable/deploying.html#run-worker-servers>
>>> :
>>>
>>> Each server is single-threaded, so it’s recommended you run around one
>>>> or two per core on each machine; it’s safe to run as many concurrent
>>>> workers on the same machine as you like, as they don’t open any ports (all
>>>> they do is talk to the channel backend).
>>>
>>>
>>> However, `python manage.py help runworker` lists a "--threads" option,
>>> which seems to imply that a single invocation of runworker can launch
>>> multiple workers.
>>>
>>> Is there a functional difference between `./manage.py runworker
>>> --threads 4` and launching `./manage.py runworker` process 4 times?
>>>
>>> best,
>>> Charlie
>>>
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