Book Image

Google Cloud Platform Cookbook

By : Legorie Rajan PS
Book Image

Google Cloud Platform Cookbook

By: Legorie Rajan PS

Overview of this book

Google Cloud Platform is a cloud computing platform that offers products and services to host applications using state-of-the art infrastructure and technology. You can build and host applications and websites, store data, and analyze data on Google's scalable infrastructure. This book follows a recipe-based approach, giving you hands-on experience to make the most of Google Cloud services. This book starts with practical recipes that explain how to utilize Google Cloud's common services. Then, you'll see how to make full use of Google Cloud components such as networking, security, management, and developer tools. Next, we'll deep dive into implementing core Google Cloud services into your organization, with practical recipes on App Engine, Compute Engine, Cloud Functions, virtual networks, and Cloud Storage. Later, we'll provide recipes on implementing authentication and security, Cloud APIs, command-line management, deployment management, and the Cloud SDK. Finally, we'll cover administration and troubleshooting tasks on applications with Compute services and we'll show how to monitor your organization's efficiency with best practices. By the end of this book, you'll have an overall understanding and hands-on implementation of Google Cloud services in your organization with ease.
Table of Contents (14 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Creating tailor-made instances using Deployment Manager


GCP provides various options to programmatically create resources needed for an application. The Cloud Deployment Manager provides a repeatable and testable method to specify all the resource needed for an application. The templates can be written in simple YAML files, Jinja templates, and Python templates. The template-driven approach allows us to parameterize and build resources with built-in logic. The templates can be treated as infrastructure as code.

Getting ready

The following are the initial setup verification and network creation steps 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, and monitoring are enabled automatically)

How to do it...

Let's say that organization ABC has a standard practice to keep the application data stored in a non-boot disk and local databases saved in another separate non-boot disk. In this recipe, we'll create...