gunicorn

第一部分：安装必要工具。 1.因为这是部署Python开发环境，所以安装pip可以简化一些软件的安装过程。（PIP对应Lua的luarocks） sudo apt-get install python-pip 安装三个Python框架 sudo pip install flask sudo pip install django==1.5.1 sudo pip install tornado==3.1.1 2.安装Gunicorn，这是运行Python的WSGI HTTP服务。 sudo pip install gunicorn 3.Virtualenv, 安装这个是因为，在部署Django的时候，使用了不同的版本。 sudo pip install virtualenv 第二部分：创建部署应用。 1.创建一个WSGI类型的Tornado应用。 import tornado.web import tornado.wsgi class MainHandler(tornado.web.RequestHandler): def get(self): self.write("My source code in the MoPaas server by python Tornado!") settings = { "debug" : True, "static_path": "static",

Right now, I'm trying to follow this tutorial: http://honza.ca/2011/05/deploying-django-with-nginx-and-gunicorn The template site loads correctly, but the images don't load. Here is part of my config.py file for my application: # Absolute filesystem path to the directory that will hold user-uploaded files. # Example: "/home/media/media.lawrence.com/media/" MEDIA_ROOT = '' # URL that handles the media served from MEDIA_ROOT. Make sure to use a # trailing slash. # Examples: "http://media.lawrence.com/media/", "http://example.com/media/" MEDIA_URL = '' # Absolute path to the directory static

I have a large read-only data structure (a graph loaded in networkx, though this shouldn't be important) that I use in my web service. The webservice is built in Flask and then served through Gunicorn. Turns out that for every gunicorn worker I spin up, that worked holds its own copy of my data-structure. Thus, my ~700mb data structure which is perfectly manageable with one worker turns into a pretty big memory hog when I have 8 of them running. Is there any way I can share this data structure between gunicorn processes so I don't have to waste so much memory? Sean Vieira It looks like the

I use gunicorn --workers 3 wsgi to run my Flask app. If I change the variable application to myapp , Gunicorn gives the error AppImportError: Failed to find application: 'wsgi' . Why am I getting this error and how do I fix it? myproject.py : from flask import Flask myapp = Flask(__name__) @myapp.route("/") def hello(): return 'Test!' if __name__ == "__main__": myapp.run(host='0.0.0.0') wsgi.py : from myproject import myapp if __name__ == "__main__": myapp.run() Gunicorn (and most WSGI servers) defaults to looking for the callable named application or app in whatever module you point it at.

本人的服务器环境为Ubuntu14.04，使用的是Python3.4版本，并且安装有pip（Ubuntu中Python3配合的是pip3），并且以管理员身份运行，如果是普通用户，请切换管理员权限（sudo）。 一.gunicorn和nginx的简介 gunicorn需要搭配nginx使用，那么两者的作用到底是什么。 1.gunicorn简介：gunicorn是一个Python WSGI UNIX服务器。WSGI（Web Server Gateway Interface）是Web服务网关接口，位于WEB应用层和WEB服务器层之间。在这里WEB应用当然是指Python解释器及Django编写的程序，而WEB服务器指的是Nginx，所以Gunicorn位于两者之间。 2.Nginx简介：Nginx是反向代理服务器，接收外部Internet网络请求，并将请求转发给内部网络的WSGI，并将响应信息反馈给外部Internet用户。所以gunicorn就是起到沟通作用，将Django和Nginx联系起来，也就是我们说的网关作用。 二.Django，Gunicorn,Nginx的安装 在这里我们使用的是Django最新版本1.8.4，当然，你也可以选择其他版本。 #pip3 install Django==1.8.4 #pip3 install gunicorn #apt-get install

I'm using nginx + fastcgi ( manage.py runfcgi ...) on production for some of my Django projects. A lot of people suggests to use nginx + gunicorn . What is advantage of using gunicorn instead of using Django's fastcgi server? b1_ I'm just tell why you need to use WSGI-like servers :) but if you feel comfortable with using fcgi - just use it Short answer: WSGI (as protocol) is cool because its native Or if "You need to go deeper"(c) Next question "FastCGI vs WSGI-like servers?" Some answers here: Differences and uses between WSGI, CGI, FastCGI, and mod_python in regards to Python? What's the