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

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...