Book Image

Building Google Cloud Platform Solutions

By : Ted Hunter, Steven Porter, Legorie Rajan PS
Book Image

Building Google Cloud Platform Solutions

By: Ted Hunter, Steven Porter, Legorie Rajan PS

Overview of this book

GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you’ll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you’ll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP’s development tools and be able to develop, deploy, and manage highly scalable and reliable applications. This Learning Path includes content from the following Packt products: • Google Cloud Platform for Developers Ted Hunter and Steven Porter • Google Cloud Platform Cookbook by Legorie Rajan PS
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

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, monitor, and then report on each specific workload. GCP provides labels as an organizational construct, allowing you to group resources...