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

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.

What you will learn

  • What are the steps for deploying a Python application into Kubernetes Engine?
  • What software libraries need to be installed for Python application development on Google Cloud Platform?
  • How is application data stored in Cloud Datastore for a Python application?

Typology: Study notes

2018/2019

Uploaded on 08/29/2019

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ankit-kumar-8 🇮🇳

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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.
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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.