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 Cloud Datastore

Google Cloud Datastore was initially released in 2008 as the de facto data persistence solution for App Engine applications. App Engine was designed to provide developers with a highly managed application platform that greatly simplified hard problems such as scalability and reliability. This meant that any companion data persistence solution would need to provide similar qualities.

One of the driving philosophies of App Engine is that developers can build simple applications that work well at any scale. This makes it possible to build and run very small-scale services in an easy and cost-effective way. Those services can then scale to handle extremely heavy loads, without having to rearchitect solutions or migrate to other platforms.

Likewise, Datastore is as equally effective at a very small scale as it is in web-scale solutions. The data platform scales...