Scaling Java Applications Through Concurrency

Distributed systems and multi-core platforms are far too prevalent now to dismiss everyday concurrency. This course outlines several concurrency patterns that the Java Concurrency API simplifies, making it much easier to scale your Java application.
Course info
Rating
(27)
Level
Intermediate
Updated
August 5, 2016
Duration
2h 19m
Table of contents
Description
Course info
Rating
(27)
Level
Intermediate
Updated
August 5, 2016
Duration
2h 19m
Description

There are several gems inside the existing concurrency API that have been hiding in the background for years, waiting to be discovered by curious software engineers. The existing Java Concurrency API makes it much easier to build a Java application that is scalable and performant without having to settle for lots of low-level wait-notify usage or lots of locking using the synchronized keyword. In this course, Scaling Java Applications Through Concurrency, you'll cover several concurrency patterns simplified by the Java Concurrency API; these patterns will make scaling new and existing Java applications simpler than ever. First, you'll learn about how the Java Concurrency API has changed scalability and how to run processes in the background. Next, you'll cover classes that will help you avoid mistakes like lost updates when sharing resources. Finally, you'll discover how to coordinate dependent processes and implementing throttling. By the end of this course, you will be able to easily scale your Java applications through concurrency so that they work better and faster.

About the author
About the author

Before graduating from college, Josh Cummings picked up a job coding JavaSwing applications. Thereafter, he moved on to Java Servlets. Spring, Maven, Hibernate, and several other Java enterprise technologies followed