Programming.Google.App.Engine.with.Java

时间:2018-07-30 08:07:17
【文件属性】:
文件名称:Programming.Google.App.Engine.with.Java
文件大小:10.03MB
文件格式:PDF
更新时间:2018-07-30 08:07:17
Google App Engine Java This practical guide shows intermediate and advanced web and mobile app developers how to build highly scalable Java applications in the cloud with Google App Engine. The flagship of Google's Cloud Platform, App Engine hosts your app on infrastructure that grows automatically with your traffic, minimizing up-front costs and accommodating unexpected visitors. You’ll learn hands-on how to perform common development tasks with App Engine services and development tools, including deployment and maintenance. For Java applications, App Engine provides a J2EE standard servlet container with a complete Java 7 JVM and standard library. Because App Engine supports common Java API standards, your code stays clean and portable. Get a hands-on introduction to App Engine's tools and features, using an example application Simulate App Engine on your development machine directly from Eclipse Structure your app into individually addressable modules, each with its own scaling configuration Exploit the power of the scalable Cloud Datastore, using queries, transactions, and data modeling with JPA Use Cloud SQL for standard relational databases with App Engine applications Learn how to deploy, manage, and inspect your application on Google infrastructure Table of Contents Chapter 1. Introducing Google App Engine Chapter 2. Creating an Application Chapter 3. Configuring an Application Chapter 4. Request Handlers and Instances Chapter 5. Using Modules Chapter 6. Datastore Entities Chapter 7. Datastore Queries Chapter 8. Datastore Transactions Chapter 9. Datastore Administration Chapter 10. The Java Persistence API Chapter 11. Using Google Cloud SQL with App Engine Chapter 12. The Memory Cache Chapter 13. Fetching URLs and Web Resources Chapter 14. Sending and Receiving Email Messages Chapter 15. Sending and Receiving Instant Messages with XMPP Chapter 16. Task Queues and Scheduled Tasks Chapter 17. Optimizing Service Calls Chapter 18. Managing Request Logs Chapter 19. Deploying and Managing Applications

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