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Essential App Engine: Building High-Performance Java Apps with Google App Engine (Developer's Library)

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Essential App Engine: Building High-Performance Java Apps with Google App Engine (Developer's Library) Cover

 

Synopses & Reviews

Publisher Comments:

In Essential App Engine, Adriaan de Jonge shows Java developers how to rapidly build complex, productionquality, performance-driven cloud applications with Google App Engine. Using a start-to-finish case study and extensive Java example code, De Jonge covers the entire lifecycle, from application design and data modeling through security, testing, and deployment.

 

De Jonge introduces breakthrough techniques for creating applications that respond within two seconds, even on cold startup, and allow server responses in hundreds of milliseconds or less throughout the rest of the session. He also demonstrates how to avoid common mistakes that can dramatically reduce cloud application performance and scalability. He thoroughly covers state-of-the-art user interface development and shows how to make the most of Google App Engine’s extensive set of APIs. Coverage includes

 

  • Setting up a development environment that makes it easy to continually address performance
  • Understanding the anatomy of a Google App Engine application
  • Making the right technical setup and design choices for each new application
  • Efficiently modeling data for App Engine’s NoSQL data storage
  • Recognizing when to avoid OR-mapping and pass datastore entities directly to HTML templates
  • Finding alternatives to frameworks and libraries that impair App Engine performance
  • Using JavaScript and AJAX on the client side of your cloud applications
  • Improving browser performance and reducing resource consumption via better use of HTML5 and CSS3
  • Taking advantage of key App Engine APIs: datastore, blobstore, mail, task scheduling, memory caching, URL retrieval, and messaging
  • Securing cloud-based Web applications with Google Accounts, OpenID, and OAuth
  • Improving your cloud development, quality assurance, and deployment processes
  • Targeting, marketing, and selling cloud solutions, from planning to payment handling

Book News Annotation:

For experienced Java programmers, this guide to the Google App Engine provides detailed instructions for building scalable web applications using this platform-as-a-service infrastructure. Beginning with an overview of the development environment, the volume covers such topics as application design, user interface requirements, common App Engine APIs, and application deployment. Chapters include illustrations, screenshots, and code samples, and practical code for a real world example application is provided throughout. De Jonge is a software architect for the Dutch association for tourism and traffic. Annotation ©2012 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

Cloud computing fundamentally changes the way applications are created and managed. When done right, system administration becomes trivial, and concerns about adequate hardware, capacity planning, or scalability are virtually eliminated. With Google's App Engine, millions of Java developers can quickly begin to develop cost-effective systems to operate in the cloud. However, when Java developers use familiar frameworks and techniques to build these systems, they often encounter surprising, unexpected performance problems. Essential App Engine teaches a start-to-finish approach to performance-driven App Engine development with Java. Using this book, Java developers can master all the concepts and techniques they need, from application design through data storage, task scheduling through security. Coverage includes:
  • Systematically maximizing performance without compromising maintainability — creating applications that are 10x+ faster on cold startup, and offer quick server response throughout their sessions
  • Avoiding or minimizing the use of frameworks and libraries that cause performance problems
  • Improving browser performance through the proper use of HTTP, HTML, CSS, JavaScript, and profiling
  • Modeling data for App Engine's non-SQL data storage
  • Ensuring app quality and managing development efficiently, through deployment and beyond
  • Working with the Channel, Multitenancy, and Capabilities APIs, as well as newer features like High Replication Datastore, Always On, and Warm Up Requests

About the Author

Adriaan de Jonge is an architect and online software development specialist at ANWB, the Dutch association for tourism, traffic, and roadside assistance. There, he works on Internet projects including developing sites that offer car and traffic information and sites that sell products, insurance, and vacations. De Jonge has worked in multiple roles, ranging from researcher and consultant to software architect, and has written several articles for IBM developerWorks on new Java, XML, Web, and content management technologies. He holds a degree in informatics and economics from Erasmus University in Rotterdam.

Table of Contents

Introduction

Acknowledgements

About the Author

 

Part I: An App Engine Overview

Chapter 1: Setting up a Development Environment

Chapter 2: Improving App Engine Performance

 

Part II: Application Design Essentials

Chapter 3: Understanding the Anatomy of a Google App Engine Application

Chapter 4: Data Modeling for the Google Datastore

Chapter 5: Designing your Application

 

Part III: User Interface Design Essentials

Chapter 6: Presenting the User Interface with HTML5

Chapter 7: Fine-tuning the Layout Using CSS3

Chapter 8: Adding Static Interactions Using JavaScript

Chapter 9: Adding Dynamic Interactions Using AJAX

 

Part IV: Using Common App Engine APIs

Chapter 10: Storing Data in the Datastore and Blobstore

Chapter 11: Sending and Receiving E-Mail

Chapter 12: Running Background Work with the Task Queue API and Cron

Chapter 13: Manipulating Images with the App Engine Image Service

Chapter 14: Optimizing Performance Using the Memory Cache

Chapter 15: Retrieving External Data Using URL Fetch

Chapter 16: Securing a Web Application using Google Accounts, OpenID and OAuth

Chapter 17: Sending Messages Using XMPP

 

Part V: Application Deployment

Chapter 18: Improving the Development Process

Chapter 19: Assuring Quality Using Measuring Tools

Chapter 20: Selling Your Application

 

Index

Product Details

ISBN:
9780321742636
Author:
De Jonge, Adriaan
Publisher:
Addison-Wesley Professional
Author:
Jonge, Adriaan de
Subject:
Internet - World Wide Web
Subject:
Internet-Web Publishing
Subject:
Software Engineering-General
Copyright:
Edition Description:
Trade paper
Series:
Developer's Library
Publication Date:
20110926
Binding:
TRADE PAPER
Language:
English
Pages:
352
Dimensions:
8.98 x 7 x 0.71 in 544 gr

Related Subjects

Computers and Internet » Computer Languages » Java
Computers and Internet » Internet » Web Publishing
Computers and Internet » Software Engineering » General

Essential App Engine: Building High-Performance Java Apps with Google App Engine (Developer's Library) Used Trade Paper
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$19.50 In Stock
Product details 352 pages Addison-Wesley Professional - English 9780321742636 Reviews:
"Synopsis" by , Cloud computing fundamentally changes the way applications are created and managed. When done right, system administration becomes trivial, and concerns about adequate hardware, capacity planning, or scalability are virtually eliminated. With Google's App Engine, millions of Java developers can quickly begin to develop cost-effective systems to operate in the cloud. However, when Java developers use familiar frameworks and techniques to build these systems, they often encounter surprising, unexpected performance problems. Essential App Engine teaches a start-to-finish approach to performance-driven App Engine development with Java. Using this book, Java developers can master all the concepts and techniques they need, from application design through data storage, task scheduling through security. Coverage includes:
  • Systematically maximizing performance without compromising maintainability — creating applications that are 10x+ faster on cold startup, and offer quick server response throughout their sessions
  • Avoiding or minimizing the use of frameworks and libraries that cause performance problems
  • Improving browser performance through the proper use of HTTP, HTML, CSS, JavaScript, and profiling
  • Modeling data for App Engine's non-SQL data storage
  • Ensuring app quality and managing development efficiently, through deployment and beyond
  • Working with the Channel, Multitenancy, and Capabilities APIs, as well as newer features like High Replication Datastore, Always On, and Warm Up Requests

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