Everything is reactive. Your application reacts to the click of a button, an incoming message. But also to the result of a database query. Between these events, you want to process other tasks. Being reactive needs a complete approach. Let’s look at the state of reactive programming in Java. Which frameworks are available? Do we have everything to build enterprise grade reactive applications? How to we produce readable and maintainable code? This is the complete overview of reactive programming in Java. We will cover the following libraries: RxJava, Project Reactor, Akka streams.

1. Reactive Java
Erwin de Gier, Trifork AMS
ROME - APRIL 13/14 2018

6. 2

10. Java 8 Streams vs. RX Observables
Pull vs. Push
Finite vs. Infinite
Sync vs. Async

11. Observable map() subscribe()
Iterable map()1 2 3 A B C forEach()
1 A2 B3 C
Java 8 Streams vs. RX Observables

16. Java vs. Reactive Streams

17. Java 8 Streams vs. Reactive Streams
//IllegalState Exception

21. Reactive API
File IOHTTP
REST
Event bus
Persistence
Reactive Stack

23. Let

34. Actor
State
Behavior
Mailbox
Supervision of child actors