Dan Sanderson

Programming Google App Engine (eBook, PDF)

Build & Run Scalable Web Applications on Google's Infrastructure

• Format: PDF

Produktbeschreibung

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 codeLearn about new datastore features for queries and indexes, transactions, and data modelingCreate, manipulate, and serve large data files with the BlobstoreUse task queues to parallelize and distribute computation across the infrastructureEmploy scalable services for email, instant messaging, and communicating with web servicesTrack resource consumption, and optimize your application for speed and cost effectiveness

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 538
• Erscheinungstermin: 11. Oktober 2012
• Englisch
• ISBN-13: 9781449359249
• Artikelnr.: 38311463

Autorenporträt

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.

Inhaltsangabe

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