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Programming Google App Engine

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Programming Google App Engine Cover

 

Synopses & Reviews

Publisher Comments:

As a cloud computing service, 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 this updated edition of 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 Engines 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. It's ideal for intermediate and advanced web developers familiar with Java or Python.

    The second edition features:
  • Complete coverage of all of Google App Engine's latest features, including backends, task queues, web sockets (channels), and the blobstore.
  • Major updates for changes to the App Engine datastore, memcache, URL fetch, and the Python and Java runtime environments.
  • New fully-tested sample code and best practices.
  • Added material on testing your app for functionality and performance.

Synopsis:

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 Googles vast infrastructure, using App Engines scalable services and simple development model.

Through clear and concise instructions, youll learn how to get the most out of App Engines 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

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

PrefaceChapter 1: Introducing Google App EngineChapter 2: Creating an ApplicationChapter 3: Configuring an ApplicationChapter 4: Request Handlers and InstancesChapter 5: Datastore EntitiesChapter 6: Datastore QueriesChapter 7: Datastore TransactionsChapter 8: Datastore AdministrationChapter 9: Data Modeling with PythonChapter 10: The Java Persistence APIChapter 11: The Memory CacheChapter 12: Large Data and the BlobstoreChapter 13: Fetching URLs and Web ResourcesChapter 14: Sending and Receiving Email MessagesChapter 15: Sending and Receiving Instant Messages with XMPPChapter 16: Task Queues and Scheduled TasksChapter 17: Optimizing Service CallsChapter 18: The Django Web Application FrameworkChapter 19: Managing Request LogsChapter 20: Deploying and Managing ApplicationsColophon

Product Details

ISBN:
9781449398262
Author:
Sanderson, Dan
Publisher:
O'Reilly Media
Author:
rson, Dan
Author:
Sande
Subject:
app engine;cloud;distributed;ec2;google;parallel;python
Subject:
CourseSmart Subject Description
Edition Description:
Second Edition
Publication Date:
20121027
Binding:
Paperback
Language:
English
Pages:
538
Dimensions:
9.19 x 7 in

Related Subjects

Computers and Internet » Computer Architecture » Parallel
Computers and Internet » Computer Languages » Java
Computers and Internet » Internet » Application Development
Computers and Internet » Internet » General
Computers and Internet » Internet » Web » Web Programming
Computers and Internet » Internet » Web Publishing
Computers and Internet » Operating Systems » General

Programming Google App Engine New Trade Paper
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Product details 538 pages Google Press - English 9781449398262 Reviews:
"Synopsis" by ,

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 Googles vast infrastructure, using App Engines scalable services and simple development model.

Through clear and concise instructions, youll learn how to get the most out of App Engines 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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