Harry Potter
This series is all about sustainably deploying Django into production on virtual machines we control. Production can get rather messy so we're going to limit the amount of manual work and opt for as much automation work as possible. To do this, we're going to be focusing on these core areas:
This course focuses on getting Django into production, but most of what we cover can be adapted for many other technologies as well. The reason? Our Django project will run through Docker with Docker containers. Docker is a massive key to putting many, many different applications in production. It's a great tool, and we'll use it as the backbone that Django sits on.
Before all the branded names for the tech stack start to scare you off, I want you to remember that so much of what we'll do here is writing a bunch of documents with a specific syntax and goal. Just because it's called Docker or Python or Terraform, they are still all just documents that describe… something.
With that in mind, I want you to think of the above list like this:
If you read the above and thought to yourself, "well that's overly simplistic" -- you're right! If you read the above and thought to yourself, "oh no, what am I doing with my life" -- you're right!
The nice thing about what we're doing here is taking the guesswork out of making this list work, work correctly, and work reliably. Most of the technology we will cover here has been well established and will likely remain unchanged for the foreseeable future.
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