Data Science Model Deployments and Cloud Computing on GCP - App Engine - Different Environments

The video tutorial explains the deployment of applications on Google App Engine, focusing on the differences between the Standard and Flexible Environments. The Standard Environment is preconfigured with specific runtime versions, making it suitable for applications written in supported languages like Python, Java, Node, PHP, Ruby, and Go. In contrast, the Flexible Environment allows for customization of runtime versions and supports dockerized applications, overcoming the limitations of the Standard Environment. It also supports additional languages like .NET, which are not available in the Standard Environment.

What are the limitations of the Standard Environment regarding runtime versions?

Why might a developer choose to use a dockerized application in the Flexible Environment?