CODEWITHSUNDEEP
djangogoogle-compute-engine
Mahammad Adil Azeem
Mahammad Adil Azeem

Reputation: 9392

What are some of the most appropriate ways for serving a large scale django app on Google Compute Engine?

I am working on a project that will presumably have a lot of user uploaded content and also a fairly large user base. I am now looking for deploying this app to the Google Compute Engine.

I have looked up for the possible options and nginx+gunicorn seems to be a good option. In the beginning I am going to be using a single ns-1 instance with 100 GB persistent hard drive and google cloud sql for serving my database.

But I want to make things scalable so that I can add more instances and disk storage without any hustle in the future. But I am very confused how to do that. So the main concern is.

I want such setup so that I can extend my disk space and no. of Google Compute Instances whenever I want.

Upvotes: 0

Views: 102

Answers (2)

Sammy Villoldo
Sammy Villoldo

Reputation: 1086

In order to have a fully scalable architecture, a good approach is to separate computation / serving, from file storage, and both from data storage. Going part by part:

  • file storage - Google Cloud Storage - by storing common service files in a GCS bucket, you get a central repository that is both highly-redundant, and scalable;

  • data storage - Google Cloud SQL - gives you a highly reliable, scalable MySQL-like database back-end, which can be resized at will to accommodate increasing database usage;

  • front-ends - GCE instance group - template-generated web / computation front-ends, setting up a resource pool into which a forwarding rule (load balancer) distributes incoming connections.

In a nutshell, this is one of the most adaptable set-ups I can think of, while you keep control over every aspect of the service and underlying infrastructure.

Upvotes: 1

Misha Brukman
Misha Brukman

Reputation: 13424

A simple approach would be to run a Python app on Google App Engine, which will auto-scale your instances (both up and down) and it supports Django, as mentioned by @spirulence in the comments.

Here are some starting points:

The last link shows which versions of Django are currently supported.

Upvotes: 0

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