Programming Google App Engine

Sanderson, Dan:

ISBN 10: 059652272X / ISBN 13: 9780596522728

Verlag: O'Reilly & Associates, 2009

Beschreibung

367 Seiten; 9780596522728.4 Gewicht in Gramm: 1.

Bestandsnummer des Verkäufers 868620

Bibliografische Details

• Titel: Programming Google App Engine
• Verlag: O'Reilly & Associates
• Erscheinungsjahr: 2009
• Sprache: Englisch
• ISBN-10: 059652272X
• ISBN-13: 9780596522728
• Einband: paperback
• Zustand: Befriedigend
• Verkäuferkataloge:
  • Varia

Über diesen Titel

Inhaltsangabe

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

Über die Autorin bzw. den Autor

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.