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

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.

  • Understand how App Engine handles web requests and executes application code
  • Learn about new datastore features for queries and indexes, transactions, and data modeling
  • Create, manipulate, and serve large data files with the Blobstore
  • Use task queues to parallelize and distribute computation across the infrastructure
  • Employ scalable services for email, instant messaging, and communicating with web services
  • Track resource consumption, and optimize your application for speed and cost effectiveness
1140203675
Programming Google App Engine: Build & Run Scalable Web Applications on Google's Infrastructure

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.

  • Understand how App Engine handles web requests and executes application code
  • Learn about new datastore features for queries and indexes, transactions, and data modeling
  • Create, manipulate, and serve large data files with the Blobstore
  • Use task queues to parallelize and distribute computation across the infrastructure
  • Employ scalable services for email, instant messaging, and communicating with web services
  • Track resource consumption, and optimize your application for speed and cost effectiveness
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Programming Google App Engine: Build & Run Scalable Web Applications on Google's Infrastructure

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

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

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

by Dan Sanderson

eBook

$39.99 

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Overview

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.

  • Understand how App Engine handles web requests and executes application code
  • Learn about new datastore features for queries and indexes, transactions, and data modeling
  • Create, manipulate, and serve large data files with the Blobstore
  • Use task queues to parallelize and distribute computation across the infrastructure
  • Employ scalable services for email, instant messaging, and communicating with web services
  • Track resource consumption, and optimize your application for speed and cost effectiveness

Product Details

ISBN-13: 9781449359232
Publisher: O'Reilly Media, Incorporated
Publication date: 10/11/2012
Sold by: Barnes & Noble
Format: eBook
Pages: 538
File size: 6 MB

About the Author

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.

Table of Contents

  • Preface
  • Chapter 1: Introducing Google App Engine
  • Chapter 2: Creating an Application
  • Chapter 3: Configuring an Application
  • Chapter 4: Request Handlers and Instances
  • Chapter 5: Datastore Entities
  • Chapter 6: Datastore Queries
  • Chapter 7: Datastore Transactions
  • Chapter 8: Datastore Administration
  • Chapter 9: Data Modeling with Python
  • Chapter 10: The Java Persistence API
  • Chapter 11: The Memory Cache
  • Chapter 12: Large Data and the Blobstore
  • Chapter 13: Fetching URLs and Web Resources
  • Chapter 14: Sending and Receiving Email Messages
  • Chapter 15: Sending and Receiving Instant Messages with XMPP
  • Chapter 16: Task Queues and Scheduled Tasks
  • Chapter 17: Optimizing Service Calls
  • Chapter 18: The Django Web Application Framework
  • Chapter 19: Managing Request Logs
  • Chapter 20: Deploying and Managing Applications
  • Colophon
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