Skip to content

Opening book details…

Can I read Programming Google App Engine with Java: Build and Run Scalable Java Applications on Google's Infrastructure on EtoBox?

Programming Google App Engine with Java: Build and Run Scalable Java Applications on Google's Infrastructure by Sanderson, Dan is a nonfiction available to read on EtoBox.

What is Programming Google App Engine with Java: Build and Run Scalable Java Applications on Google's Infrastructure about?

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 depl

Who reads Programming Google App Engine with Java: Build and Run Scalable Java Applications on Google's Infrastructure?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Sanderson, Dan
Publisher
O'Reilly Media, Incorporated
Published
2015
Language
EN
ISBN
9780596156732
Category
nonfiction
Subjects
Computer Science, Language Learning, Engineering

More by Sanderson, Dan

Browse all works by Sanderson, Dan

Similar books