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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 ...
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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.
Chapter 1: Introducing Google App Engine
Chapter 2: Creating an Application
Chapter 3: Handling Web Requests
Chapter 4: Datastore Entities
Chapter 5: Datastore Queries
Chapter 6: Datastore Transactions
Chapter 7: Data Modeling with Python
Chapter 8: The Java Persistence API
Chapter 9: The Memory Cache
Chapter 10: Fetching URLs and Web Resources
Chapter 11: Sending and Receiving Mail and Instant Messages
Chapter 12: Bulk Data Operations and Remote Access
Chapter 13: Task Queues and Scheduled Tasks
Chapter 14: The Django Web Application Framework
Chapter 15: Deploying and Managing Applications
Posted January 31, 2014
Posted December 24, 2012
Posted June 6, 2012
I bought this book, despite it's age, to get a general understanding how GAE works and is organized. I found it to be an excellent guide to the structure of GAE and how to use Python and Java to make it work.
However, I have two caveats. One, you need to be an intermediate Python and/or Java coder to really be able to extrapolate the examples into actual code. For example, while there is a discussion about the User object, there's no section on how to code a login capability (e.g. login, change password, forget password) with the User object. Because books about GAE are somewhat rare, the book would be even more useful if it described key design patterns in detail as they relate to coding with GAE. For example, because the Google user id can't be used "as is" (it's a security risk if GAE apps expose this ID in their apps), what other options exist for user ids? What are the trade-offs?
The second caveat? I bought the electronic book thinking I could read it on the Nook app on my iPhone. Big mistake. The Nook app stinks when it comes to rendering code examples. The font for code is unhelpfully reduced to 3 point size. I had to read the book with iBooks on my iPhone and Nook on my Mac (because, of course, Nook on the Mac renders code examples fine and iBooks apparently doesn't exist for the Mac). Hopefully some day the Nook iPhone app will be updated to render code examples at a human readable size.
I have read the draft of the next version of this book, due out summer 2012, and it is fully updated with some excellent new data. No design pattern chapters, however.
(BTW, B&N also should fix the Edit review capability so that going from Preview back to Edit mode doesn't strip out lines and render three paragraphs of text as one dense blob...)