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

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.

Note

Instance-hour rates vary between regions. Keep this in mind when determining where to host Compute Engine instances. When determining where to host your Compute Engine instances, consider whether the...