gunicorn

I am using a Flask app with the gunicorn server and the gevent worker class, which according to the gunicorn documentation is an asynchronous worker. However, when I launch gunicorn with a single worker and try to make a long request (I added sleep(10) in the route function, but in reality this also happens when processing large uploads), I can't make any request until the previous one is finished. It behaves as is it is a synchronous worker, one request at a time. Is this the normal behavior? Am I missing something about synchronous vs asynchronous workers? If you don't monkey-patch sleep (or

python有很多web 开发框架，代码写完了，部署上线是个大事，通常来说，web应用一般是三层结构 web server ---->application -----> DB server 主流的web server 一个巴掌就能数出来，apache，lighttpd，nginx，iis application,中文名叫做应用服务，就是你基于某个web framework写的应用代码 DB server 泛指存储服务，web开发中用mysql比较多，最近几年因为网站规模扩大，memcache，redis这种key-value等存储也流行开来 放在最前面的 web server 有3个功能 高效率处理静态文件 ,web server都是用c开发，调用是native的函数，对IO，文件传输都做针对性的优化 充当一个简易的网络防火墙 ，可以denny一些ip，简单的控制并发连接数量等等，聊胜于无 处理高并发短连接请求 ，把成千上万用户的request 通过内网的几十个长连接进行转发，原因一个是web server处理高并发很专业，另外一个原因是大部分的application所用的框架都不具备处理高并发的能力 实际上，市面上有部分web framework由于内置了支持epoll/kqueue 等高效网络库，而具备了处理高并发的能力，比如说 python的tornado

I just deployed my Django (1.6) project with gunicorn and Nginx. It seems to be working fine but I have one page were I'm getting an HTTP 500 error and I can't find any details about the error anywhere. How do I get gunicorn to show me errors? Here's all I currently see in the log file when I hit the page giving me the error: >tail gunicorn.errors 2014-02-21 14:41:02 [22676] [INFO] Listening at: unix:/opt/djangoprojects/reports/bin/gunicorn.sock (22676) 2014-02-21 14:41:02 [22676] [INFO] Using worker: sync 2014-02-21 14:41:02 [22689] [INFO] Booting worker with pid: 22689 ... 2014-02-21 19:41

I wrote a flask app using the application factory pattern. That means it doesn't create an app instance automatically when you import it. You have to call create_app for that. Now how do I run it in gunicorn? Create a file wsgi.py under your project with the following contents, then point Gunicorn at it. from my_project import create_app app = create_app() gunicorn -w 4 my_project.wsgi:app # -w 4 specifies four worker processes Gunicorn allows specifying a function call like my_project:create_app() . For most cases, you can the skip making a wsgi.py file and tell Gunicorn how to create your

I'm trying to get Gunicorn to use Python3 for a Django app I want to make. I'm using Digital Ocean's Django image to get started. It comes with Django, Gunicorn, and Nginx installed and configured. The default Django project that comes with this image seems to work fine for Python 2. I've apt-get 'ed these packages. python3 python3-psycopg2 python3-dev python3-pip In order to try to avoid any problems, I've also done this. pip uninstall django pip3 install django I rm -rf 'ed the stock project and created a new one with django-admin.py startproject django_project . django-admin.py uses Python

I am working on a web service implemented on top of nginx + gunicorn + django . The clients are smartphone applications. The application needs to make some long running calls to external APIs (Facebook, Amazon S3...), so the server simply queues the job to a job server (using Celery over Redis ). Whenever possible, once the server has queued the job, it returns right away, and the HTTP connection is closed. This works fine and allows the server to sustain very high load. client server job server . | | . | | |------HTTP request----->| | | |--------queue job------>| |<--------close----------| |

I am new to django, i would like to know how to set up my django project with nginx and gunicorn. I read this guide: http://michal.karzynski.pl/blog/2013/06/09/django-nginx-gunicorn-virtualenv-supervisor/ but it doesn't work for my project. I think that it is due to the particular structure of my project, that is: ├──icecream │ ├── settings │ | ├── __init.py │ | ├── base.py │ | ├── local.py │ | ├── production.py │ ├── __init__.py │ ├── urls.py │ ├── wsgi.py ├── manage.py I got this layout from: https://github.com/twoscoops/django-twoscoops-project . Can anyone help me, please? thank you I'll

I'm running gunicorn behind ngninx. I want to log errors in gunicorn to gunicorn-error.log and access logs to gunicorn-access.log. I've got the errorlog working but not the access log, what am I doing wrong? This is my gunicorn.conf.py: bind = '127.0.0.1:8888' backlog = 2048 workers = 3 errorlog = '/home/my/logs/gunicorn-error.log' accesslog = '/home/my/logs/gunicorn-access.log' loglevel = 'debug' proc_name = 'gunicorn-my' pidfile = '/var/run/my.pid' This is the script to run gunicorn: #!/bin/bash set -e ENV=/home/my/env/bin/activate GUNICORN=gunicorn_django SETTINGS_PATH=/home/my/app/app

I've seen two strategies for hosting a django application with gunicorn and nginx. One strategy is to run gunicorn on a network port. For example (from http://goodcode.io/blog/django-nginx-gunicorn/ ): location / { proxy_pass_header Server; proxy_set_header Host $http_host; proxy_redirect off; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Scheme $scheme; proxy_connect_timeout 10; proxy_read_timeout 10; proxy_pass http://localhost:8000/; } Another strategy is to bind gunicorn to a UNIX socket on startup (e.g. http://michal.karzynski.pl/blog/2013/06/09/django-nginx-gunicorn

This question already has an answer here: Are a WSGI server and HTTP server required to serve a Flask app? 2 answers I see people are running setups like Nginx + Gunicorn + Flask. Can someone explain what is the benefit of having Gunicorn in front of Flask? Why not just run Flask alone? Doesn't it consume more resources having Gunicorn + Flask running? Is Gunicorn able to reboot the Flask instance when it fails to respond? What's also the purpose of having nginx on top of gunicorn? Isn't gunicorn enough? Again, more resources being spent? Jon I think you may be confused, Flask is not a web