ngx-php
gunicorn
ngx-php | gunicorn | |
---|---|---|
4 | 17 | |
573 | 9,517 | |
- | - | |
8.8 | 8.0 | |
2 months ago | 7 days ago | |
C | Python | |
BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
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ngx-php
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Nginx Unit – Universal web app server
Two questions:
1. Does Unit + PHP doing the typical “initialize & teardown” that PHP is know for?
Or is Unit persisting the initialization/setup, hence why it’s achieving the way faster results?
2. How is Unit/PHP architecturally different than NGX-PHP (an event loop)?
https://github.com/rryqszq4/ngx-php
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I was looking at TechEmpower benchmarks, and noted that PHP performs better than Node, how's that possible?
I guess you referring to php-nginx which seems pretty niche.
- ngx_php7 - Embedded PHP scripting language for nginx module.
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?
nginx-module-vts - Nginx virtual host traffic status module
waitress - Waitress - A WSGI server for Python 3
hyperf - 🚀 A coroutine framework that focuses on hyperspeed and flexibility. Building microservice or middleware with ease.
Werkzeug - The comprehensive WSGI web application library.
swow - Coroutine-based cross-platform concurrent I/O engine.
bjoern - A screamingly fast Python 2/3 WSGI server written in C.
suhosin7 - Suhosin Extension for PHP 7.x
uwsgi - Official uWSGI docs, examples, tutorials, tips and tricks
ngx_http_proxy_connect_module - A forward proxy module for CONNECT request handling
meinheld - Meinheld is a high performance asynchronous WSGI Web Server (based on picoev)
starlark-go - Starlark in Go: the Starlark configuration language, implemented in Go
hypercorn - Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.