How to scale a Django application to serve one million users?

This page summarizes the projects mentioned and recommended in the original post on dev.to

Scout Monitoring - Free Django app performance insights with Scout Monitoring
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  • django-debug-toolbar

    A configurable set of panels that display various debug information about the current request/response.

    Identify what queries are being made in your application using django-debug-toolbar and reduce them, or make them more efficient:

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

    Scout Monitoring logo
  • SWIG

    SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.

    If you’ve tried all of the above and still have a bottlenecked application, you’re probably squeezing too much out of Python and need the speed of another language. But don’t worry, you don’t have to redo your entire application in C or C++. Swig allows you to create modules in C, C++, Java, Go or other lower level languages and import them directly from Python.

  • SQLAlchemy

    The Database Toolkit for Python

    Depending on the progress of your application, you may want to migrate to another framework faster than Django. Django’s ORM is not exactly the fastest out there, and, at the time of writing, it is not asynchronous. You might want to consider giving sqlalchemy, ponyorm a try.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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