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It is named after the WSGI Python standard and was the original plugin created for the project. An API and consistent configuration setup are used to implement application servers that can handle a wide variety of protocols and languages, process managers, proxies, and monitors.

#Scriptcase slow deploy cgi fast cgi full#

UWSGI was developed with the goal of becoming a full stack capable of constructing hosting services. One drawback: it is not yet compatible with HTTP/1.1. Bjoern is considered faster than Gunicorn and less bloated than uWSGI and Meinheld. It features persistent connection support and can bind to Unix sockets and TCP host:port addresses. Bjoern is completely WSGI compliant and is regarded as one of the highest performing WSGI servers available. It takes up less than 1 MB of memory and utilizes no coroutines or threads.

#Scriptcase slow deploy cgi fast cgi download#

With a download size of only 18KB, it is made up of fewer than 800 lines of code. Designed from the ground up to be small and fast, it was developed using an http_parser from Ryan Dahl (also the creator of Node.js) and the libev event loop from Marc Lehmann. It is Written in C and is very lightweight. Bjoernījoern is an asynchronous CPython WSGI server.

Here is a closer look at six WSGI servers on the market today - Bjoern, uWSGI, mod_wsgi, Meinheld, CherryPy and Gunicorn. Some aim to be a full-stack solution while others are well-suited for specific frameworks - Gunicorn, for example, works with Django right out of the box. WSGI servers come in a variety of flavors and sizes.

WSGI gives you the flexibility of changing web stack components for alternatives without changing the application that runs with WSGI.

However, you will benefit by understanding how WSGI is implemented. If you use TurboGears, Django or CherryPy, you do not need to be concerned about how your particular framework utilizes the WSGI standard.

WSGI speeds up Python web application development because you only need to know basic things about WSGI.

#Scriptcase slow deploy cgi fast cgi how to#

Frameworks are not made to process thousands of requests and determine how to best route them from the server.

WSGI servers are designed to handle many requests concurrently.

You might be saying: “OK, but tell me again why I need WSGI in the first place.” There are several reasons: Examples of Python frameworks that support WSGI include Django, CherryPy, Flask, TurboGears, and web2py.įigure 1: WSGI Interface (credit: ) Why You Need WSGI Middleware is used to direct requests to various app objects, load balancing, content preprocessing and running several frameworks or apps alongside each other in the same process. Sometimes there might be one or more WSGI middlewares between the server and the web app. The request is processed on the app side, and a response is sent back to the server utilizing the callback function. The server executes the web app and sends related information and a callback function to the app.

The server–often high-profile web servers such as Nginx or Apache.

WSGI was developed to create a standard interface to route web apps and frameworks to web servers. Python apps could only use CGI, mod_python, Fast CGI or some other flavor of a web server. On the downside, it was slow and limited. When the web was just taking baby steps, CGI proliferated because it worked with many languages, and there were no other solutions. WSGI is a descendant of CGI, or Common Gateway Interface. Unfortunately, it was insecure, and developers began to look for a new solution.

#Scriptcase slow deploy cgi fast cgi code#

It was simply created so they could run Python code on a server. However, mod_python was not an official specification. An Apache module known as mod_python, developed by Grisha Trubetskoy in the late 90s, was up till then handling most of the execution of Python web applications. Eby (with help from Ian Bicking and others) in the early 2000s. WSGI (pronounced “whiz-gee” with a hard “g” or “whiskey”) was developed by Phillip J. Python WSGI servers came about because web servers at the time could not comprehend or actuate Python applications.

#Scriptcase slow deploy cgi fast cgi series#

In this post, we’ll provide an introduction and historical background to the top 6 WSGI servers, and in the second part of this series we’ll show you the results of our performance benchmark analysis so please stay tuned! A Brief History of Python WSGI Servers So, of course, we decided to collect the top 6 WSGI servers and put them to the test. One critical area that can impact the performance of your Python stack is your WSGI server. After releasing our new Python agent in early 2015, we’ve become obsessed with Python performance.