Django Channels Nginx production

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I have a django project and recently added channels to use websockets. This seems to all work fine, but the problem I have is to get the production ready.

My setup is as follows:

Nginx web server
Gunicorn for django
SSL enabled

Since I have added channels to the mix. I have spent the last day trying to get it to work.

On all the turtotials they say you run daphne on some port then show how to setup nginx for that.

But what about having gunicorn serving django?

So now I have guncorn running this django app on 8001

If I run daphne on another port, lets say 8002 - how should it know its par of this django project? And what about run workers?

Should Gunicorn, Daphne and runworkers all run together?

This question is actually addressed in the latest Django Channels docs:

It is good practice to use a common path prefix like /ws/ to distinguish WebSocket connections from ordinary HTTP connections because it will make deploying Channels to a production environment in certain configurations easier.

In particular for large sites it will be possible to configure a production-grade HTTP server like nginx to route requests based on path to either (1) a production-grade WSGI server like Gunicorn+Django for ordinary HTTP requests or (2) a production-grade ASGI server like Daphne+Channels for WebSocket requests.

Note that for smaller sites you can use a simpler deployment strategy where Daphne serves all requests - HTTP and WebSocket - rather than having a separate WSGI server. In this deployment configuration no common path prefix like is /ws/ is necessary.

In practice, your NGINX configuration would then look something like (shortened to only include relevant bits):

upstream daphne_server {
  server unix:/var/www/html/env/run/daphne.sock fail_timeout=0;
}

upstream gunicorn_server {
  server unix:/var/www/html/env/run/gunicorn.sock fail_timeout=0;
}

server { 
  listen   80; 
  server_name _;

  location /ws/ {
    proxy_pass http://daphne_server;
  }

  location / {
    proxy_pass http://gunicorn_server;
  }
}

(Above it is assumed that you are binding the Gunicorn and Daphne servers to Unix socket files.)

Django Channels Nginx production, In particular for large sites it will be possible to configure a production-grade HTTP server like nginx to route requests based on path to either (1) a production-grade WSGI server like Gunicorn+Django for ordinary HTTP requests or (2) a production-grade ASGI server like Daphne+Channels for WebSocket requests. Nginx Setup. Nginx will be routing requests to WSGI server and ASGI server based on URL. Here is nginx configuration for server.

I recently answered a similiar question, have a look there for an explanation on how django channels work.

Basically, you don't need gunicorn anymore. You have daphne which is the interface server that accepts HTTP/Websockets and you have your workers that run django views. Then obviously you have your channel backend that glues everything together.

To make it work you have to configure CHANNEL_LAYERS in settings.py and also run the interface server:

$ daphne my_project.asgi:channel_layer

and your worker:

$ python manage.py runworker

NB! If you chose redis as the channel backend, pay attention to file sizes you're serving. If you have large static files make sure NGINX serves them or otherwise clients will experience cryptic errors that may occur due to redis running out of memory.

Running Django-Channels and Websockets in Production, Deploy Django application on Nginx and gunicorn : https://www.youtube.com/​watch?v Duration: 19:27 Posted: Nov 1, 2018 Deploy Django Application | Production Environment Nginx postgresql gunicorn ubuntu virtualenv - Duration: 22:36. Appychip 28,723 views

How To Deploy Django Channels To Production, In this article, we will see how to deploy django channels to production and how we can scale it to handle more load. We will be using nginx as proxy server, daphne as ASGI server, gunicorn as WSGI server and redis for channel back-end. Daphne can serve HTTP requests as well as WebSocket requests. Setting up Django and your web server with uWSGI and nginx¶. This tutorial is aimed at the Django user who wants to set up a production web server. It takes you through the steps required to set up Django so that it works nicely with uWSGI and nginx. It covers all three components, providing a complete stack of web application and server software.

It does not work on production server! · Issue #514 · django/channels, I use nginx ! Maybe I do not something understood! Maybe I have to change something in nginx too? Good news! I managed to make it work, thanks again for your answer. I found a cartridge that allows me to use nginx, uwsgi and django instead of the default, apache. (btw, with the default cartridge for django projects I was unable to modify apache conf file and even update apache to install the mod_proxy_wstunnel so I decided to change everything).

Channels 2 + Daphne + Nginx (using Docker) · Issue #919 · django , I am trying to configure Channels 2 using Nginx as reverse proxy for Daphne. This is my compose basic configuration: base.yml django:  Django Community 13508 people, 172 countries, 4168 packages and projects. Django Channels Nginx production - Stack Overflow Posted on May 22,

Deploying Django channels using Supervisor and Ngnix, There is documentation provided by django-channel team on this: setup) for more details we can visit: https://www.nginx.com/blog/websocket-nginx/. Hope this  The Django skeleton website created using the django-admin and manage.py tools are configured to make development easier. Many of the Django project settings (specified in settings.py) should be different for production, either for security or performance reasons. Tip: It is common to have a separate settings.py file for production, and to

Comments
  • I am not sure if you really need both? I have not worked with daphne so I may be wrong. Please check if this thread of any help stackoverflow.com/questions/42417919/…
  • I will not recommend daphne to use as WSGI for HTTP because it requires more resource than a gunicorn worker receiving HTTP traffic
  • Nice shot man, this is my current production nginx configuration!