Setting up a Python Application Development Environment with Google Cloud Platform, Study notes of Software Development

Download Setting up a Python Application Development Environment with Google Cloud Platform and more Study notes Software Development in PDF only on Docsity! Quest Outline App Dev: Setting up a Development Environment - Python In this lab, you will provision a Google Compute Engine virtual machine and install software libraries for software development. App Dev: Storing Application Data in Cloud Datastore - Python In this lab, you will review the case study application, an online Quiz. You will store application data for the Quiz application in Cloud Datastore. App Dev: Storing Image and Video Files in Cloud Storage - Python In this lab, you add images and video to an application. You store files as objects in a Cloud Storage bucket. App Dev: Adding User Authentication to your Application - Python In this lab, you will enhance the online Quiz application to use Firebase authentication. App Dev: Developing a Backend Service - Python In this lab, you will enhance the online Quiz application by developing a backend service to process user feedback and save scores. App Dev: Deploying the Application into Kubernetes Engine - Python In this lab, you will deploy the quiz application into Kubernetes Engine, leveraging Google Cloud Platform resources including Container Builder and Container Registry, and Kubernetes resources including Deployments, Pods, and Services. App Dev: Deploying the Application into App Engine Flexible Environment - Python In this lab, you will deploy the quiz application into App Engine flexible environment, leveraging App Engine features including instances, versions, and traffic splitting.