Programming Google App Engine: Build & Run Scalable Web Applications on Google's Infrastructure

by Dan Sanderson

Google App Engine makes it easy to create a web application that can serve millions of people as easily as serving hundreds, with minimal up-front investment. With Programming Google App Engine , Google engineer Dan Sanderson provides practical guidance for designing and developing your application on Google’s vast infrastructure, using App Engine’s scalable services and simple development model. Through clear and concise instructions, you’ll learn how to get the most out of App Engine’s nearly unlimited computing power. This second edition is fully updated and expanded to cover Python 2.7 and Java 6 support, multithreading, asynchronous service APIs, and the use of frameworks such as Django 1.3 and webapp2.

Genres: Programming, Technical, Technology, Software, Reference

534 pages, Paperback

First published November 1, 2009

Reviews

[Ed Holden · Rating 4 out of 5]

Programming GAE is a thoroughly readable guide, and provides a solid overview of this cloud platform, including Google's way of organizing databases (they changed the industry) and the many services GAE offers. While Google's online developer docs for GAE are very useful as well, the narrative structure here guides you through the concepts in a logical order, and at least for my style of learning, was a must for developing on this platform.

As with any technical book, the reader must absorb the bits he or she needs and skip the rest, but I found myself reading most of the book, including the overview of Django (which I don't use) and only skipped the sections dealing exclusively with Java, since my goal was to learn about Python on App Engine. Basically, I read this cover to cover and skipped ahead whenever I encountered lots of semicolons or XML.

[Andy L · Rating 4 out of 5]

A typically useful O'Reilly book.

[Pamela Fox · Rating 4 out of 5]

A well written book explaining App Engine, with many chapters dedicated to an in-depth look at the datastore, one of the trickiest parts. Slightly better for Python devs than Java devs.

[Frank Palardy · Rating 4 out of 5]

All right book, but Google cloud is a little confusing.