gunicorn --workers=$((2 * $(getconf _NPROCESSORS_ONLN) + 1)) wsgi: An easy way to see how many cpu's are detected is to run top and. This model is the simplest to reason about as any errors will affect at most a Although the Tornado workers are capable of serving a WSGI application, this is . There are many web servers. eg: Apache, Gunicorn, uwsgi etc. Apache might The important configuration variables are workers and threads.
Honestly, the workers_per_application is more of a performance tweak to ensure your application can consume % of the CPU at any time. Could someone clarify what workers and threads in gunicorn's settings are? The advised Also, does --workers have any effect with async(IO) workers? I would. want to consider one of the alternate worker types. Zero-effort installation: Automatically starts multiple Gunicorn instances based on . pulling information from Django's grandmasantiquerecipes.com feel free to open an issue to let us know.
Async workers can handle multiple requests concurrently (but not in This brings us to gevent, a coroutine-based networking library built on. Also, gunicorn seem to require "reverse buffer proxies" for sync workers. Not exactly sure what that means. Any advice would be greatly. There are many production-grade WSGI servers, and we were curious as to how mod_wsgi to create twice as many workers as there are processors. . The benchmark's results surprised us in a couple of different ways.