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 a Node.js application on Kubernetes Engine


We will containerize the KeystoneJS application and host it on Google Kubernetes Engine (GKE). GKE is powered by the container management system, Kubernetes. Containers are built to do one specific task, and so we'll separate the application and the database as we did for App Engine.

The MongoDB container will host the MongoDB database with the data stored on external disks. The data within a container is transient, and so we need an external disk to safely store the MongoDB data. The App Container includes a Node.js runtime, that will run our KeystoneJS application.

It will communicate with the Mongo Container and also expose itself to the end user:

Note

You'll be using the following services and others for this recipe:

 

  • Google Kubernetes Engine
  • GCE
  • Google Container Registry

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...