Learn the core principles of reactive programming, the foundation of Spring WebFlux's reactive stack.

What you'll learn
Essential principles of reactive programming and reactive systems
Concepts of Reactive Streams that serve as a foundation for reactive programming
Using Project Reactor with Java to create projects
How to use creation, transformation, and filtering operators in Project Reactor
How to handle error scenarios in reactive programming
How to combine data streams with operators
Using Schedulers with reactive programming
Backpressure strategies

Requirements
Intermediate knowledge in Java
Knowledge of the Java 8 Streams API

Description
In this practical and focused course, you'll learn about Reactive Programming with a focus on Project Reactor, a widely recognized Java library that simplifies building reactive, non-blocking systems.This course is designed for software developers who want to enhance their skills in reactive programming and explore Project Reactor as a powerful tool. It's ideal for Java developers and anyone interested in creating highly responsive and efficient systems.You'll learn about reactive data streams, handling concurrency, error management, and more. By the end of the course, you'll have a solid understanding of reactive programming.What You Will Learn:Core Concepts: Explore the essential principles of reactive programming, including reactive systems, synchronous and asynchronous flows, non-blocking operations, and event propagation in data streams.Reactive Streams: Dive into Reactive Streams, which provide the foundation for reactive programming, enabling applications to dynamically react to events and data flows.Introduction to Project Reactor: Discover Project Reactor, getting to know its key components like Flux and Mono, and learn how to use them to create reactive applications.Creation Operators: Explore Project Reactor's creation operators, which let you generate reactive data streams from various sources, such as collections, expanding your options for building reactive applications.Operators: Learn how to apply transformation and filter operators to shape reactive data streams to fit your needs.Combining Streams: Understand how to combine, merge, and aggregate data streams efficiently.Error Handling: Learn effective strategies for error handling and recovery in reactive environments.Schedulers: Understand the importance of Schedulers in reactive programming and learn how to manage concurrency and optimize task execution for efficient systems.Backpressure: Learn to manage backpressure, a key technique to ensure data streams are processed efficiently, preventing overload.

Overview
Section 1: Introduction

Lecture 1 About the Course and Prerequisites

Lecture 2 Course Materials

Section 2: Important Concepts

Lecture 3 Traditional System vs Reactive System

Lecture 4 Reactive Manifesto

Lecture 5 Core Principles of Reactive Programming

Lecture 6 Summary

Lecture 7 Want to Learn More About the Event Loop?

Section 3: Reactive Streams

Lecture 8 Introduction

Lecture 9 Implementing the Publisher

Lecture 10 Implementing the Subscriber

Lecture 11 Implementing the Subscription

Lecture 12 Running the Example

Lecture 13 Summary

Section 4: Introduction to Project Reactor

Lecture 14 What is Project Reactor?

Lecture 15 Implementing Project Reactor 1

Lecture 16 Implementing Project Reactor 2

Lecture 17 Summary

Section 5: Creation Operators

Lecture 18 Understanding How Operators Work

Lecture 19 Basic Creation Operators

Lecture 20 Flux().create() Operator

Lecture 21 Flux().create() Operator in Practice

Lecture 22 Flux().generate() Operator

Lecture 23 Flux().generate() Operator in Practice

Lecture 24 Summary

Section 6: Operators

Lecture 25 How the take() Operator Works in a Stream

Lecture 26 take() and takeWhile() Operators

Lecture 27 map() Operator

Lecture 28 flatMap() Operator - Part 1

Lecture 29 flatMap() Operator - Part 2

Lecture 30 filter() Operator

Lecture 31 delayElements() Operator

Lecture 32 transform() Operator

Lecture 33 Side Effects Operators

Lecture 34 Summary

Section 7: Combining Streams with Operators

Lecture 35 concat Operator

Lecture 36 merge() Operator

Lecture 37 zip() Operator

Lecture 38 Summary

Section 8: Error Handling

Lecture 39 onerrorReturn Operator

Lecture 40 onerrorResume Operator

Lecture 41 onerrorContinue Operator

Lecture 42 onerrorComplete Operator

Lecture 43 onerrorMap Operator

Lecture 44 isEmpty and defaultIfEmpty Operators

Lecture 45 retry and retryWhen Operator

Lecture 46 Summary

Section 9: Schedulers

Lecture 47 Example of Blocking Operation

Lecture 48 How Schedulers Work

Lecture 49 Using Schedulers in Practice

Lecture 50 Parallel Processing with Schedulers

Lecture 51 Parallel Processing with Schedulers in Practice

Lecture 52 Summary

Section 10: Backpressure

Lecture 53 onBackpressureBuffer Strategy: Part 1

Lecture 54 onBackpressureBuffer Strategy: Part 2

Lecture 55 onBackpressureError Strategy

Lecture 56 onBackpressureDrop Strategy

Lecture 57 onBackpressureLatest Strategy

Lecture 58 Defining Backpressure Strategy in the Flux.create() Operator

Lecture 59 Summary

Section 11: Hot and Cold Publisher

Lecture 60 Difference Between a Cold Publisher and a Hot Publisher

Lecture 61 Creating a Hot Publisher with the autoConnect() Operator

Lecture 62 Creating a Hot Publisher with the autoConnect(n) Operator

Lecture 63 Creating a Hot Publisher with the share() and refCount() Operators

Lecture 64 Summary

People interested in starting with reactive programming in Java.,Developers who want to learn about Project Reactor before diving into WebFlux to build a stronger foundation.,Java developers and anyone interested in building highly responsive and efficient systems.

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