Book Image

Building Google Cloud Platform Solutions

By : Ted Hunter, Steven Porter, Legorie Rajan PS
Book Image

Building Google Cloud Platform Solutions

By: Ted Hunter, Steven Porter, Legorie Rajan PS

Overview of this book

GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications. This Learning Path includes content from the following Packt products: • Google Cloud Platform for Developers Ted Hunter and Steven Porter • Google Cloud Platform Cookbook by Legorie Rajan PS
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

Hosting the Node.js application on Google App Engine


We'll implement the same Node.js application used in the first recipe on Google App Engine. App Engine is a PaaS solution where we just need to deploy the code in any of the supported languages (Node.js, Java, Ruby, C#, Go, Python, and PHP), and the platform takes care of scaling automatically, health checking, and updates to the underlying OS.

App Engine provides the compute power for the application and so for the database, we'll have to use a managed MongoDB service such as mLab or a MongoDB instance of GCE. As we already have a VM running MongoDB from our previous recipe, we'll use that to serve our application running on App Engine.

Getting ready

The following are the initial setup verification steps to be taken before the recipe can be executed:

  1. Create or select a GCP project.
  2. Enable billing and enable the default APIs (some APIs such as BigQuery, storage, monitoring, and a few others are enabled automatically).
  3. Verify that Google Cloud...