Understand the purpose behind RxJava development and use the right tools to make your application Reactive and asynchronous
Apply Reactive principles with Java to make your app responsive, reliable, and scalable
Implement backpressure with Reactive constructs: subscription and subscriber
Description
Reactive programming is a programming paradigm oriented toward data flows and the propagation of change: programming with asynchronous data streams. Apps in recent times have an abundance of real-time events of every kind that create a highly interactive experience for the user. However, the right tools are needed to manage these, and Reactive programming is the answer.
This course is a step-by-step guide to creating applications with Java 12 by applying Reactive programming. You will get hands-on experience; each section will build on the previous one, so that you will be able to make your app responsive and reliable by implementing Reactive principles with Java. You'll also apply the best data structures and algorithms that optimize functions—all using functional Reactive programming.
By the end of this course, you'll be fully equipped with the tools and techniques needed to implement robust, event-driven, and Reactive applications.
The code bundle for this course is available at https://github.com/PacktPublishing/Hands-On-Reactive-Programming-with-Java-12
What you will learn
Understand Flow, the main building block of Reactive applications
Implement publisher and subscriber parties independently of each other
Discover the difference between Hot and Cold Publisher
Create multiple flow consumers via the Subscriber API
Perform Reactive transformations using the TransformProcessor API
Focus on the pros and cons of alternative Reactive frameworks, Reactor, and RxJava
Tomasz Lelek is a Software Engineer who programs mostly in Java and Scala. He is a fan of microservice architectures and functional programming. He dedicates considerable time and effort to being better every day. Recently, he's been delving into big data technologies such as Apache Spark and Hadoop. He is passionate about nearly everything associated with software development.
Tomasz thinks that we should always try to consider different solutions and approaches before solving a problem. Recently, he was a speaker at several conferences in Poland - Confitura and JDD (Java Developer's Day) and also at Krakow Scala User Group. You can find the JDD video here: https://www.youtube.com/watch?v=BnORjQbnZNQ&t - ML Spark talk.
He also conducted a live coding session at Geecon Conference. He is currently working on this website using ML: http://www.allegro.pl
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