dj-database-url
gunicorn
dj-database-url | gunicorn | |
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1 | 17 | |
35 | 9,504 | |
- | - | |
0.0 | 8.0 | |
about 2 years ago | 8 days ago | |
Python | ||
BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
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dj-database-url
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How to deploy the Front-end(React) and Backend(Django) with Postgres at Heroku
dj-database-url: This simple Django utility allows you to utilize the 12factor inspired DATABASE_URL environment variable to configure your Django application.
gunicorn
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Nginx Unit – Universal web app server
I'm hoping so – gunicorn has a long-open pull request that would fix `--reuse-port`, which currently does nothing
https://github.com/benoitc/gunicorn/pull/2938
- SynchronousOnlyOperation from celery task using gevent execution pool on django orm
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Deploying Django when using python-socketio
However, I'm curious about the best way to deploy, specifically with regard to WSGI. I've tried using the raw eventlet WSGI server (`eventlet.wsgi.server(eventlet.listen(("", 8000)), application)`). I then start it with `python manage.py runserver`. This has worked okay, but I'm unsure about how scalable it is. It seems like the standard stack is Django + Gunicorn + NGINX. Based on `python-socketio` documentation, this should be possible. I tried django + eventlet + gunicorn, but it seems like gunicorn a) [doesn't play nice with eventlet](https://github.com/benoitc/gunicorn/pull/2581) and b) only supports one worker. Gevent + Gunicorn doesn't have this bug, but still only supports one worker. Also, I'm not sure how actively maintained gevent is. So I'm not sure how scalable either Gunicorn + eventlet or Gunicorn + geventlet is as a WSGI server. So I'm not sure if Gunicorn is my best bet, or if it's too limited.
- The Django ecosystem is not so good
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3 cool project ideas for Python programmers
For building your API, I recommend using the Flask library. It is very beginner-friendly, and you will be able to build a simple API in a matter of minutes! Keep in mind that, for a more serious project, you should definitely use something like gunicorn to run you API as a production server.
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Django 4.1 Released
Interesting looks like it might actually be a python bug. Somehow just changing from sys.exit(0) -> os._exit(0) apparently fixes it.
https://github.com/benoitc/gunicorn/pull/2820
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Serverless Templates for AWS and Python
The cool thing is that you can easily migrate your WSGI- application such as Flask, Django, or Gunicorn to AWS.
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Scope of database threads + connections + sessions
Yeah, that's kind of the impression I was getting. I stumbled across a github issue for gunicorn along these lines.
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Running Django with Gunicorn - Best Practice
Taking a glimpse at gunicorn's code it looks like they pretty much all do the same: 2. seems to be creating a wsgi app using django's internals, and 3. uses 2.
What are some alternatives?
django-heroku - A Django library for Heroku apps.
waitress - Waitress - A WSGI server for Python 3
python-decouple - Strict separation of config from code.
Werkzeug - The comprehensive WSGI web application library.
psycopg2 - PostgreSQL database adapter for the Python programming language
bjoern - A screamingly fast Python 2/3 WSGI server written in C.
axios - Promise based HTTP client for the browser and node.js
uwsgi - Official uWSGI docs, examples, tutorials, tips and tricks
ToDo-FullStack
meinheld - Meinheld is a high performance asynchronous WSGI Web Server (based on picoev)
hypercorn - Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.
hypercorn