With Early Release ebooks, you get books in their earliest form—the author's raw and unedited content as he or she writes—so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters as they're written, and the final ebook bundle.
Learn how to build data-intensive apps that run faster at a lower cost, using Google Compute Engine. Written by Google developers, this tutorial walks you through Google’s new Infrastructure as a Service (IaaS) product by showing you how to develop one project from beginning to end. You’ll discover how to leverage Google’s world-class storage and computing technologies to gain unparalleled performance and scalability.
Marc manages Google's Developer Relations Engineering team in London, which helps software developers get the most out of the Google APIs and services in the EMEA region. In a previous life,Marc helped design and build communication systems at Bell Labs and Lucent Technologies. When he's not working, Marc enjoys indie music and films, writing, teaching, and chess.
Kathryn Hurley is a Developer Programs Engineer at Google for Compute Engine. In this role, she helps developers learn how to use the Compute Engine API by developing sample applications. She received an MS in Web Science from the University of San Francisco and a BS in Genetics from the University of California, Davis. Prior work experience includes research in mobile and peer-to-peer computing.
Paul Newson is a Software Engineer at Google. Currently, he is focusing on helping developers harness the power of the Google Could Platform to solve their Big Data problems. Prior to his current role in Developer Relations, Paul was helping build Google's Cloud Platform as an engineer on Google Cloud Storage. Before joining Google, Paul cofounded a tiny game technology startup, sold it to Microsoft, where he then worked on DirectX, Xbox, Xbox Live, and Forza Motorsport, before spending some time working on interesting machine learning problems in Microsoft Research. Outside of work Paul enjoys rock climbing, motorcycling, and other activities that demand complete focus.
The book is detailed and accurate and helps you get up and running fast. Of course it is difficult to review a book in mid-writing but if the quality and depth of the final sections is as good as the first, then there is a place for this in or on a system administrator's book shelf.
All the examples I tried worked and though you can find much of this in Google's own documentation, this is a bit easier to read, follow and search.
Bottom Line Yes, I would recommend this to a friend