1.4 Notes - terrytaylorbonn/auxdrone GitHub Wiki

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DJANGO/VERCEL

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https://vercel.com/templates/python/django-hello-world

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AI Overview Learn more

Deploying a Django application involves several steps, and you have a variety of options depending on your needs and budget. Here's a breakdown of the most popular choices:

Platform as a Service (PaaS):

Heroku: A popular and easy-to-use PaaS that supports Django deployment with simple commands. It offers a free tier for small projects and scales well for larger applications.

Render: Another PaaS that is known for its simplicity and ease of use. It offers excellent support for Django and other Python frameworks.

PythonAnywhere: A PaaS specifically designed for Python applications. It's beginner-friendly and offers a free tier for small projects.

AWS Elastic Beanstalk: A powerful PaaS from Amazon Web Services. It offers a wide range of features and integrates well with other AWS services.

Google App Engine: Google's PaaS solution, which supports Django and other Python frameworks. It offers a free tier and scales well for larger applications.

Infrastructure as a Service (IaaS):

DigitalOcean: A popular cloud provider that offers affordable virtual servers (droplets) with a wide range of operating systems and configurations.

Amazon Web Services (AWS): The leading cloud provider that offers a vast array of services, including virtual servers (EC2), storage (S3), and load balancing (ELB).

Google Cloud Platform (GCP): Google's cloud platform, which offers similar services to AWS. It's known for its strong machine learning and data analytics capabilities.

Microsoft Azure: Microsoft's cloud platform, which offers a wide range of services and integrates well with Windows-based applications.

Other Options:

Self-Hosting: If you have your own servers, you can deploy Django applications on them directly. This gives you more control over the infrastructure, but it also requires more technical expertise.

Docker: You can containerize your Django application using Docker, which makes it easier to deploy on any platform that supports Docker. Key Considerations:

Cost: PaaS solutions are typically more expensive than IaaS solutions, but they are also easier to use and manage. Scalability: If you expect your application to grow quickly, choose a solution that can scale easily.

Ease of Use: If you are not familiar with server administration, choose a PaaS solution.

Control: If you need more control over the infrastructure, choose an IaaS solution or self-hosting.

ASTRO

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Neupane

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NOT ASTRO

24.1127 CANDIDATE DJANGO YOUTUBES / DOCS

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nestjs
Google AI overview: "deploy node to public"
public localhost
PEPPINCK
nextjs
git

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25.0206 Gdrive

If you cant beat 'em, join 'em. Rather than building your own from scratch, use something like Provonix (HUNGARY / DRUPAL).

Well, probably not a good idea. Unless you are OK with lockin. https://www.drupal.org/forum/support/converting-to-drupal/2023-12-14/sadly-it-is-goodbye-drupal-for-me. Sounds like a Drupal-based system means lock-in (to Provonix).

In any case, I include Drupal for the great example sites they have. As inspiration.

PROVONIX

https://devportals.pronovix.com/api-catalog

Pronovix builds custom-fit developer platforms in Drupal, a proven enterprise-ready technology with a large consultant and developer community.

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