Programming Google App Engine 2e

Paperback Engels 2012 9781449398262
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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 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

Specificaties

ISBN13:9781449398262
Taal:Engels
Bindwijze:paperback
Aantal pagina's:538

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Inhoudsopgave

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

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