Gunicorn

Share

                  Gunicorn

Gunicorn:

Gunicorn (Green Unicorn) is a Python Web Server Gateway Interface (WSGI) HTTP server. It is designed to be a high-performance server that can run Python web applications, particularly those built using the Flask or Django frameworks.

Gunicorn works by creating multiple worker processes to handle incoming requests, allowing it to handle a large number of concurrent connections efficiently. It manages these worker processes and distributes incoming requests to them. This architecture makes Gunicorn well-suited for serving production web applications.

Here are a few key features and concepts related to Gunicorn:

WSGI: Gunicorn follows the WSGI specification, which is a standard interface between web servers and web applications in Python. It allows Gunicorn to work with any web application that adheres to the WSGI standard.

Workers: Gunicorn spawns multiple worker processes to handle requests concurrently. These worker processes can be configured to run on multiple CPU cores, maximizing performance. Gunicorn manages the worker processes and handles load balancing between them.

Configuration: Gunicorn can be configured using command-line options, configuration files, or environment variables. You can specify the number of worker processes, the address and port to bind to, logging settings, and more.

Integration with Flask/Django: Gunicorn is commonly used with Flask and Django web frameworks, but it can also work with other WSGI-compatible frameworks. It provides a seamless way to serve your web application using Gunicorn as the HTTP server.

To use Gunicorn, you typically install it as a Python package using pip. Once installed, you can start your application with Gunicorn by specifying the appropriate command-line options or using a configuration file.

For example, to start a Flask application named “app.py” using Gunicorn with 4 worker processes, you can use the following command:

css

Copy code

gunicorn –workers 4 app:app

This command tells Gunicorn to start 4 worker processes and use the “app” variable from the “app.py” file as the WSGI application.

Gunicorn provides various other options and settings that you can explore in the official documentation to optimize its performance and behavior according to your specific requirements.

Python Training Demo Day 1

You can find more information about Python in this Python Link

 

Conclusion:

Unogeeks is the No.1 IT Training Institute for Python  Training. Anyone Disagree? Please drop in a comment

You can check out our other latest blogs on Python here – Python Blogs

You can check out our Best In Class Python Training Details here – Python Training

💬 Follow & Connect with us:

———————————-

For Training inquiries:

Call/Whatsapp: +91 73960 33555

Mail us at: info@unogeeks.com

Our Website ➜ https://unogeeks.com

Follow us:

Instagram: https://www.instagram.com/unogeeks

Facebook: https://www.facebook.com/UnogeeksSoftwareTrainingInstitute

Twitter: https://twitter.com/unogeeks


Share

Leave a Reply

Your email address will not be published. Required fields are marked *