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A series of labs for setting up a python application development environment on google cloud platform. Topics covered include provisioning a google compute engine virtual machine, installing software libraries, storing application data in cloud datastore, adding user authentication with firebase, developing a backend service, deploying the application into kubernetes engine, and deploying it into app engine flexible environment.
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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.