Programming Google App Engine: Build and Run Scalable Web Apps on Google's Infrastructure

Front Cover
"O'Reilly Media, Inc.", Nov 11, 2009 - Computers - 394 pages
1 Review

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
 

What people are saying - Write a review

User Review - Flag as inappropriate

Gideon Kwadwo yeboah was a student of
toase and he was the best footballer of the 2013/2014 Ashanti regional milo games

Contents

Chapter 1 Introducing Google App Engine
1
Chapter 2 Creating an Application
15
Chapter 3 Handling Web Requests
63
Chapter 4 Datastore Entities
103
Chapter 5 Datastore Queries
121
Chapter 6 Datastore Transactions
163
Chapter 7 Data Modeling with Python
183
Chapter 8 The Java Persistence API
207
Chapter 10 Fetching URLs and Web Resources
239
Chapter 11 Sending and Receiving Mail and Instant Messages
251
Chapter 12 Bulk Data Operations and Remote Access
277
Chapter 13 Task Queues and Scheduled Tasks
293
Chapter 14 The Django Web Application Framework
313
Chapter 15 Deploying and Managing Applications
333
Index
347
Copyright

Chapter 9 The Memory Cache
227

Other editions - View all

Common terms and phrases

About the author (2009)

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.

Bibliographic information