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)

Pricing on GCE

The majority of resources available in Compute Engine carry some running costs, broken down into units that make sense for that type of resource. Basic instance resources include vCPU, RAM, and disk in terms of quantity and time. For predefined instances, this price is calculated in terms of machine type and size, as covered in the Machine types section earlier in this chapter. For custom machine types, the running costs of instances is determined in terms of raw compute resources.

Machines are charged in units of instance-hours on a per-second basis, with a minimum time of one minute. Being charged on a per-second basis makes it feasible to perform large-scale operations utilizing several machines for a short period of time. This is often ideal for highly-parallelized tasks.

Instance-hour rates vary between regions. Keep this in mind when determining where to host...