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Programming Google App Engine: Build and Run Scalable Web Apps on Google's Infrastructure (Animal Guide)

Programming Google App Engine: Build and Run Scalable Web Apps on Google's Infrastructure (Animal Guide)Author: Dan Sanderson
Publisher: O'Reilly Media
Category: Book

List Price: $44.99
Buy New: $20.99
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Seller: jocie_b
Sales Rank: 139,280

Languages: English (Unknown), English (Original Language), English (Published)
Media: Paperback
Edition: 1
Pages: 394
Number Of Items: 1
Shipping Weight (lbs): 1.5
Dimensions (in): 10 x 6.9 x 0.9

ISBN: 059652272X
EAN: 9780596522728
ASIN: 059652272X

Publication Date: November 30, 2009
Availability: Usually ships in 1-2 business days

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  • Kindle Edition - Programming Google App Engine (Animal Guide)

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Product Description

As one of today's cloud computing services, Google App Engine does more than provide access to a large system of servers. It also offers you a simple model for building applications that scale automatically to accommodate millions of users. With Programming Google App Engine, you'll get expert practical guidance that will help you make the best use of this powerful platform. Google engineer 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.

  • 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
  • Deploy and manage applications with ease



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