In this summary, we'll cover the key points without using lists or code. Developing reactive microservices with Spring Data and Distributed SQL is gaining popularity due to performance gains from reactive streams. Spring WebFlux MVC has gained wide adoption in cloud-native applications for high throughput and low latency microservices. A shift towards the reactive programming model has occurred, with many database providers supporting reactive drivers that replace traditional blocking database calls with async and non-blocking data access. The tutorial will walk through building a Spring microservice using Spring WebFlux, Spring Data Reactive Repositories, and YugabyteDB, which supports reactive drivers for CRUD operations. YugabyteDB is an open-source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. The technology stack includes Spring WebFlux, Spring Data reactive for Apache Cassandra, and Yugabyte Cloud Query Language (YCQL). By following the tutorial, developers will build a Spring microservices application exposing a reactive REST API for performing CRUD operations against YugabyteDB, leveraging reactive repositories, and reactive data access. This results in highly scalable and performant applications with a non-blocking programming model.