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)

Billing

GKE is free! All jokes aside, all of the management, operations, monitoring, and configuration functionality that we've covered in this chapter really is free. GKE is billed based on the utilization of the underlying supporting resources. The bulk of your utilization, and therefore billing, will come from the underlying GCE VM instances.

In your billing summary and transaction list, you will usually see line items like the following for GKE workloads:

  • Compute Engine Storage
  • Compute Engine Static IP
  • Compute Engine Network Load Balancing
  • Compute Engine Instances

It's outside of the scope of this chapter, but one thing that you will find useful is the ability to export your utilization/billing information to BigQuery and then analyze/monitor your budget organized by label. Labeling the resources associated with individual workloads is a great way to organize,...