Introductory 5 Steps 4h 45m 26 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 GCP.
warning 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.
warning 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.
warning 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.
warning 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.
warning 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).
warning 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.
warning Firebase SDK for Cloud Functions
In this lab, you’ll learn how to use the Firebase platform, integrated with Cloud Functions.
warning 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.
warning Using Apigee for API Management
In this lab you’ll build an Apigee API service which will consume backend services running on Google Cloud Platform.