Sanderson D. Programming Google App Engine: Build and Run Scalable Web Apps on Google's Infrastructure

2nd Edition. — O’Reilly Media, 2012. — 536 p. — ASIN: B003DL3NT8.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.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 code.
Learn about new datastore features for queries and indexes, transactions, and data modeling.
Create, manipulate, and serve large data files with the Blobstore.
Use task queues to parallelize and distribute computation across the infrastructure.
Employ scalable services for email, instant messaging, and communicating with web services.
Track resource consumption, and optimize your application for speed and cost effectiveness.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, and the Walt Disney Internet Group. He lives in Seattle, Washington. For more information about Dan, visit his website at http://www.dansanderson.com.Introducing Google App Engine
The Runtime Environment.
The Static File Servers.
The Datastore.
The Services.
Google Accounts.
Task Queues and Cron Jobs.
Developer Tools.
The Administration Console.
Things App Engine Doesn’t Do.Yet.
Getting Started.Creating an Application
Setting Up the SDK.
Developing the Application.
Registering the Application.
Uploading the Application.
Introducing the Administration Console.Handling Web Requests
The App Engine Architecture.
Configuring the Frontend.
How the App Is Run.
Quotas and Limits.Datastore Entities
Entities, Keys, and Properties.
Introducing the Python Datastore API.
Introducing the Java Datastore API.
Property Values.
Keys and Key Objects.
Using Entities.Datastore Queries
Queries and Kinds.
Query Results and Keys.
GQL.
The Python Query API.
The Java Query API.
Introducing Indexes.
Automatic Indexes and Simple Queries.
Custom Indexes and Complex Queries.
Not-Equal and IN Filters.
Unset and Nonindexed Properties.
Sort Orders and Value Types.
Queries and Multivalued Properties.
Configuring Indexes.Datastore Transactions
Entities and Entity Groups.
What Can Happen in a Transaction.
Transactions in Python.
Transactions in Java.
How Entities Are Updated.
How Entities Are Read.
Batch Updates.
How Indexes Are Updated.Data Modeling with Python
Models and Properties.
Property Declarations.
Modeling Relationships.
Model Inheritance.
Queries and PolyModels.
Creating Your Own Property Classes.The Java Persistence API
Setting Up JPA.
Entities and Keys.
Entity Properties.
Embedded Objects.
Saving, Fetching, and Deleting Objects.
Transactions in JPA.
Queries and JPQL.
Relationships.
For More Information.The Memory Cache
The Python Memcache API.
The Java Memcache API.Fetching URLs and Web Resources
Fetching URLs in Python.
Fetching URLs in Java.
Asynchronous Requests in Python.Sending and Receiving Mail and Instant Messages
Enabling Inbound Services.
Sending Email Messages.
Receiving Email Messages.
Sending XMPP Messages.
Receiving XMPP Messages.Bulk Data Operations and Remote Access
Setting Up the Remote API for Python.
Setting Up the Remote API for Java.
Using the Bulk Loader Tool.
Using the Remote Shell Tool.
Using the Remote API from a Script.Task Queues and Scheduled Tasks
Task Queues.
Scheduled Tasks.The Django Web Application Framework
Installing Django.
Creating a Django Project.
The Request Handler Script.
The Django App Engine Helper.
Creating a Django Application.
Using App Engine Models With Django.
Using Django Unit Tests and Fixtures.
Using Django Forms.
Chapter 15 Deploying and Managing Applications.
Uploading an Application.
Using Versions.
Managing Service Configuration.
Managing Indexes.
Browsing and Downloading Logs.
Inspecting the Datastore.
Application Settings.
Managing Developers.
Quotas and Billing.
Getting Help.