Learn how to run large-scale, data-intensive workloads with Compute Engine, Google’s cloud platform. Written by Google engineers, this tutorial walks you through the details of this Infrastructure as a Service by showing you how to develop a project with it from beginning to end. You’ll learn best practices for using Compute Engine, with a focus on solving practical problems. With programming examples written in Python and JavaScript, you’ll also learn how to use Compute Engine with Docker containers and other platforms, frameworks, tools, and services. Discover how this IaaS helps you gain unparalleled performance and scalability with Google’s advanced storage and computing technologies.
Google Compute Engine by Marc Cohen, Kathryn Hurley, and Paul Newson (O’Reilly) is a straightforward resource on using Google Cloud Computing with both Python and JavaScript. Not only does it cover Google’s user interface, but also the commandline and scripting tools that you can use to give your application greater flexibility.
It wasn't wrong or bad... but it also wasn't a great technical book. Too much focus, in my opinion, on verbose examples, not enough focus on the overview and the terminology.
A very good introduction to Google Compute Engine (the IaaS made by Google). The Google goes on the most important aspects for you to understand Google Cloud Iaas (called Compute Engine): VMs, Persistent Disks, Networking, SQL and NoSQL database options, Cloud Storage and advanced topics. Also deals with containers and finish the book with a complete example explained at the last chapter. So highly recommended for anyone starting with Google Compute Engine or who wants to learn about Cloud IaaS.
An excellent overview with good coding examples. I highly recommend it for anyone new to Google cloud. Enjoyed the way the authors illustrate multiple ways to do things.