Book Image

Google Cloud Platform for Developers

By : Ted Hunter, Steven Porter
Book Image

Google Cloud Platform for Developers

By: Ted Hunter, Steven Porter

Overview of this book

Google Cloud Platform (GCP) provides autoscaling compute power and distributed in-memory cache, task queues, and datastores to write, build, and deploy Cloud-hosted applications. With Google Cloud Platform for Developers, you will be able to develop and deploy scalable applications from scratch and make them globally available in almost any language. This book will guide you in designing, deploying, and managing applications running on Google Cloud. You’ll start with App Engine and move on to work with Container Engine, compute engine, and cloud functions. You’ll learn how to integrate your new applications with the various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. This book will teach you how to streamline your workflow with tools such as Source Repositories, Container Builder, and StackDriver. Along the way, you’ll see how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerting for your production systems. By the end of this book, you’ll be well-versed with all the development tools of Google Cloud Platform, and you’ll develop, deploy, and manage highly scalable and reliable applications.
Table of Contents (17 chapters)

Google Compute Engine

Virtual machines are a staple of modern public cloud offerings. Virtually every product and service running on public clouds leverages virtual machines. For many managed services, this fundamental layer is abstracted away from users, providing a simplified interface on which to build applications. These simplified interfaces generally carry with them inherent limitations on what users can and cannot do. Google Cloud offers Compute Engine for systems that cannot or should not operate within these limitations.

In this chapter, we will cover the following topics:

  • Understanding the fundamentals of Infrastructure as a Service (IaaS)
  • Creating and managing virtual machines on Google Cloud's infrastructure
  • Understanding the various resources available to Compute Engine instances
  • Creating custom images from existing Compute Engine instances
  • Leveraging managed...