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)

NoSQL with Datastore and Bigtable

A major requirement for most software solutions is the ability to persist and act on data. As we saw in previous chapters, there are several compute options on Google Cloud Platform (GCP), each offering a diverse set of features filling specific needs. Likewise, there are several options in the GCP for how these systems persist data. Which option to use will depend on a number of factors, primarily driven by the nature of the data being captured and the way that data will be used.

A strong trend in the database arena over the past decade has been the adoption of nonrelational data persistence technologies, generally referred to as NoSQL solutions. Google Cloud offers two primary NoSQL solutions: Datastore and Bigtable.

In this chapter, we will cover the following topics:

  • Understanding the various NoSQL offerings on GCP and when to use them
  • Designing...