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

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.