Reactive Spring Boot

The first lesson examines the different aspects of the Spring ecosystem that lend themselves to the functional and reactive style of programming. After briefly introducing Kotlin, it focuses on the functional Java 8 and later APIs that were introduced in Spring Framework 5 and also walks through a simple Kotlin example.

The second lesson covers Reactive Data Access using Spring Data and Spring Data MongoDB. It explores reactive streams types and shows how they lend themselves to the asynchronous, non-blocking style of data access.

After demonstrating how to build web applications that take advantage of the new reactive paradigm using Kotlin in Lesson 3, Lesson 4 focuses on the Reactive Streams specification as a compatibility layer and shows how to use the Reactive Stream types as a mechanism for interoperability across OS projects like Akka Streams, Vert.x. Spring Web Flux, and Spring Data Reactive MongoDB.

Lesson 5 briefly reviews testing reactive applications and covers how to mock out the scheduler that underpins all of your asynchronous reactive code, the step verifier, and testing reactive end points.

Lesson 6 focuses on Spring Integration and Spring Cloud Stream in a reactive world, specifically on how to consume data from a publisher in Spring Integration and how to consume data from a publisher in Spring Cloud Stream.

Lesson 7 covers Spring Cloud Function, a framework that supports adapters from AWS Lambda, Azure functions, and Google functions. It also explores Project Riff, a Kubernetes-based FaaS from Pivotal on which Spring Cloud Functions run natively.

Lesson 8 Looks at how to build edge services, specifically API adapters and API Gateways using Spring Cloud Gateway for use cases like session and path rewriting and filters. In addition, it covers how to build an API adapter using the reactive web client and functional reactive endpoints. It also covers circuit breakers and how those concerns play out in a reactive world.