I know you can run gunicorn with uvicorn workers. But the sync views will 
be running sync, no longer gevent patched, meaning performance could 
change. I’m also unsure if sync views are serialized into one thread if you 
don’t set DJANGO_ALLOW_ASYNC_UNSAFE, which could be a bottleneck.

I did some more research and thinking and I made two errors in my first 
post, but it doesn’t really change the matter. 1) doing something like 
monkey.patch_all() to patch things out with async versions does not work, 
because you can’t get the patched things to magically somehow be awaited 
instead of being called normally 2) I didn’t realize you can run django 
hybrid (both sync and async views) both under WSGI as well as ASGI.

On Monday, April 17, 2023 at 8:34:55 AM UTC+2 TITAS ONLINE MARKET wrote:

> Thanks 
>
> On Mon, 17 Apr 2023, 11:42 am Fortune Osho, <fortu...@gmail.com> wrote:
>
>> You can simply run gunicorn with unicorn workers... which is very 
>> performance using uvloop... test it performance against pure gunicorn... 
>> note that performance is not totally dependent on server used(a whole lot 
>> of things can affect performance like moddlewares, serialization etc)
>>
>>
>> On Sun, Apr 16, 2023 at 5:34 PM Chris Barber <barber...@gmail.com> wrote:
>>
>>> Hello
>>>
>>> Production django app, currently 100% sync views, running under gunicorn 
>>> with gevent worker class.
>>>
>>> @andrewgodwin suggests here it is possible to migrate slowly, just run 
>>> hybrid sync-async and add or convert views as desired
>>> https://www.youtube.com/watch?v=19Uh_PA_8Rc&t=1728s
>>>
>>> But to get a single async view one has to switch to uvicorn workers or 
>>> similar, right? Now one is no longer getting the gevent patching for sync 
>>> views, which could be a major impact on performance/scaling, and could 
>>> trigger re-evaluation of the production deployment & tuning!
>>>
>>> Questions:
>>>
>>> 1. How to approach this? It has me wondering if monkey.patch_all() 
>>> should be ported to asyncio and tested under uvicorn. This would smooth the 
>>> transition since the sync views should perform and scale roughly the same 
>>> as before.
>>>
>>> 2. Also an important technical question on how sync views under ASGI 
>>> work. By default they will run all in the same thread (*per worker*) 
>>> which could be really bad for performance with tons of sync views, correct? 
>>> If I enable DJANGO_ALLOW_ASYNC_UNSAFE, then the sync views will be run in 
>>> more threads, right? How many threads?Should I expect to have to tune this?
>>>
>>> In general, regardless of the approach, one could presumably A/B test in 
>>> a live environment - run some workers / nodes under uvicorn, partition the 
>>> traffic accordingly, and see how it compares. Tune, stress test, and then 
>>> rolling transition.
>>>
>>> -C
>>>
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