Deploying Applications

date_range 4 hours show_chart Introductory universal_currency_alt 47 Credits

The Google Cloud Platform provides many different frameworks and options to fit your application’s needs. In this introductory-level quest, you will get plenty of hands-on practice deploying sample applications on Google App Engine. You will also dive into other web application frameworks like Firebase, Wordpress, and Node.js and see firsthand how they can be integrated with Google Cloud.

Enroll in this quest to track your progress toward earning a badge.
Enroll in this on-demand quest
  • Lab

    Deploying a Python Flask Web Application to App Engine Flexible

    In this lab, you will learn how to use App Engine Flexible with Python’s Flask framework. You’ll deploy a web application that allows users to upload photos of people’s faces and do simple facial recognition with the Cloud Vision API.


    Deploy Node.js Express Application in App Engine

    In this lab, you will learn how to create a Node.js Express application on Google App Engine. Then you will learn how to update the code without taking the server down.


    Deploy a Ruby on Rails App to App Engine Flexible Environment

    In this lab, you will learn how to deploy a new Ruby on Rails application or Rails app for short to Google App Engine Flexible environment. You will learn Cloud Shell and the Cloud SDK to get started without needing any downloads or installs.

  • Lab

    Deploy an ASP.NET Core App to App Engine

    In this lab, you will deploy a simple ASP.NET Core app to App Engine Flexible environment. This lab builds on the "Build and Launch an ASP.NET Core app from Google Cloud Shell" lab.


    Deploy ASP.NET Core App to Kubernetes Engine

    In this lab, you learn how to turn your ASP.NET Core code into a Docker container image, and then run that image as a replicated application running on Kubernetes on Google Container Engine (GKE).

  • Lab

    Firebase Web

    In this lab you’ll learn how to use the Firebase platform to easily create Web applications and implement and deploy a chat client.


    Firebase SDK for Cloud Functions

    In this lab you’ll learn how to use the Firebase platform, integrated with Cloud Functions.

  • Lab

    Deploying Memcached on Kubernetes Engine

    In this lab you'll learn how to deploy a cluster of distributed Memcached servers on Kubernetes Engine using Kubernetes, Helm, and Mcrouter.

  • info
    Quest Info
    As every lab in this Quest relies on programming languages, including Python, Javascript/Node.js, and Ruby, the student should be an experienced programmer in multiple languages.This Quest builds on a basic understanding of Google Cloud services, particularly those relating to application development. It is recommended that the student have earned a Badge by completing the hands-on labs in the Baseline: Deploy and Develop and/or the Google Cloud Essentials Quests before beginning.