Is there any update on this? Do we have any recommendations now on how many
workers can run on a server?

On Tue, Oct 10, 2017 at 5:00 AM Andrew Godwin <[email protected]> wrote:

> 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 <[email protected]>
> 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 <[email protected]> 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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