Google App Engine is a cloud computing service unlike any other: it provides a simple model for building applications that scale automatically to accommodate millions of users. With Programming Google App Engine (O’Reilly, US $44.99), you’ll get expert practical guidance that will help you make the best use of this powerful platform. Google engineer Dan Sanderson (@dan_sanderson) shows you how to design your applications for scalability, including ways to perform common development tasks using App Engine’s APIs and scalable services.
You’ll learn about App Engine’s application server architecture, runtime environments, and scalable datastore for distributing data, as well as techniques for optimizing your application. App Engine offers nearly unlimited computing power, and this book provides clear and concise instructions for getting the most from it—right from the source.
"Some of the most exciting areas in web application development involve the potential for rapid success, especially mobile and social apps," says Sanderson. "With traditional web app development, this potential is a hazard: you either grow slow and miss an opportunity to connect with your customers, or you grow quickly, fail to meet demand, and halt development while you re-engineer for scale. Small companies and independent developers often can’t afford either of these options. By working at a level of abstraction designed with Google’s experience in building scalable web apps, small teams can build apps that are scalable from the start, get hot new ideas to market, and innovate at the cutting edge based on feedback from thousands of active, happy users."
With Programming Google App Engine by your side, you will discover the differences between traditional web development and development with App Engine, learn the details of App Engine’s Python and Java runtime environments , understand how App Engine handles web requests and executes application code, learn how to use App Engine’s scalable datastore, including queries and indexes, transactions, and data modeling, use task queues to parallelize and distribute work across the infrastructure and deploy and manage applications with ease
Advance Praise:
"Without a doubt, the most comprehensive, well-written, and up-to-date book about App Engine. I think it’s fair to say that if you’ve read this book cover-to-cover, you’re now an expert on App Engine."
–Kevin Gibbs, tech lead and manager, Google App Engine
Dan Sanderson is a technical writer and software engineer at Google Inc. He has worked in the web industry for over 10 years as a software engineer and technical writer for Google, Amazon.com, and the Walt Disney Internet Group. He lives in Seattle, Washington. For more information about Dan, visit his website at http://www.dansanderson.com.
Keys: google, google apps, dan sanderson
