Java Reactive Programming [ From Scratch ]

Java Asynchronous & Non Blocking programming With Reactor

What you'll learn:

• Complete Reactive Programming From Scratch
• Prerequisite For Spring WebFlux
• Mono / Flux
• Reactive Streams
• Asynchronous & Non blocking programming
• Hot & Cold Publishers
• Backpressure & Overflow Strategy
• Combining Publishers
• Sinks - unicast, multicast, replay
• Step Verifier For Unit Testing
• Publisher / Subscriber Pattern / Communication

Learn Reactive Programming from scratch! With Assignments & Quizzes!

Reactive Programming is a programming style which deals with asynchronous data streams! A development model which focuses on observing data streams and reacting on changes and propagating them.

You learn Reactive Programming to build Reactive Systems - a highly resilient distributed systems or Microservices! Modern applications support huge number of concurrent users. Most of the applications are CRUD in nature with a lots of time consuming / blocking IO operations which is wasting the system resources. Reactive programming helps us to write highly resilient and reusable code in an asynchronous, non-blocking & declarative style. With less system resources, we get a lot more work done.

If you want to work on any of these, then this course is a prerequisite!!

• Spring WebFlux

• RScoket

• Kafka or Redis stream processing

By the end of this course, You would be comfortable with,

• Reactive Programming Concepts

• Asynchronous & non-blocking operations

• Mono / Flux Publishers

• Handling Backpressure with various strategies

• Various Flux operators

• Threading & Schedulers

• Sinks - Unicast, Multicast, Replay

• Hot & Cold Publishers

• Combining multiple publishers with concat, merge, zip, combineLatest etc

• Batching with Buffer, Window, GroupBy

• Repeat & Retry

• Unit Testing with Step Verifier

• Contexts

• Implementing business logic in declarative style

• Writing highly resilient code

• It is MUSTfor Spring WebFlux.

• Implementing business logic in declarative style

• Writing highly resilient code

• Better Error Handling

• Reactor Hooks / Callbacks

• Parallel Stream Processing