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Content Engine

Use AWS S3 with Django to manage unlimited videos, images, and other files.

Learn how to build a Django-powered content engine that leverages AWS S3 for nearly unlimited amount of stored videos, images, files, and more. This content engine will also be extra private and secure thanks to Twingate's effective approach to sharing assets behind a next-generation private network.

We start by automating the process of containerizing our Django application without writing a single Dockerfile. This means, we just focus on our code without learning Docker much like you would with a PaaS (e.g. Heroku). This is possible thanks to the great cloud-native tool known as Buildpacks and it's simple on GitHub Actions.

With Kubernetes and Twingate, we will provide provide and secure local access to any resource we decide: Django project, databases, and much more depending on what containerized-app you want to use.

Once this foundation is laid, we'll build out our Django project using cutting edge tools like HTMX and TailwindCSS to provide a fast, functional, and effective way to deliver a modern user experience without the overhead of writing JavaScript or CSS.

The last major piece is getting large file uploads to work. This means we'll be learning all about how to use the official Amazon S3 package for Python known as Boto3. With Boto3, we will pre-sign files so we can download them, upload them, and delete them. In addition to Boto3, we write pure JavaScript to handle the uploading process (using functions like Fetch and XMLHttpRequests).

This course is a juggernaut and we are excited to share it with you. And guess what? Thanks to Twingate, this entire course is already yours (just login and add it to your library).

Are you ready to begin? Let's do this!

References

Sign up for Twingate
Course GitHub & Code here
Django Auto Container here

Helpful Resources

Django on Docker guide
Docker & Docker Compose tutorial series:
Github Actions guide:
Django & Kubernetes project code

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Lessons

Welcome & Demo