Programming Google App Engine: Build and Run Scalable Web Apps on Google's Infrastructure (Animal Guide) Review
Posted by
Pearlene McKinley
on 5/22/2012
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Labels:
cloud computing,
django,
google,
google app engine,
java,
programming,
python,
software development
Average Reviews:
(More customer reviews)I've worked with the App Engine for about six months and have gained most of my knowledge from the online documentation. I wish I had had this book when I started. This is the best explanation I've seen of entities and how they relate to transactions. The code examples in Python and Java are extremely helpful and give great insight into how the two languages approach the App Engine abstractions. The sections on data modeling and Django integration are particularly good. Not only did this book fill in gaps in my knowledge, but it is sufficiently detailed that I'm sure I will keep it on my desk as a reference. I've tried the other App Engine books and this is by far the best. If you have any interest in the App Engine, start here.
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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
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