Spring Boot with Kotlin, Kofu and Coroutines

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" summary

Live coding shows a four-step migration: Java+JPA → idiomatic Kotlin → reactive SQL with R2DBC reactive SQL → WebFlux → coroutines + Flow, and then explicit configuration with Kofu Kotlin DSL. Code demonstrates converting Mono/Flux to suspend/Flow, using WebClient for remote calls, running the app and tests successfully. Spring Boot 2.x WebFlux and coroutine support are production-ready; R2DBC drivers and Kofu are still incubating and need more maturity before full production use.

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" chapters (4)

1. 0:00Start
2. 0:54steps to go from a typical Spring Boot application in Java to an idiomatic Kotlin one
3. 6:56Step 2 WebMvc with JPA to WebFlux with R2DBC
4. 14:32Hot or cold streams Finite or infinite number of elements • Backpressure via suspending functions . Operators are implemented as extensions . Operators are easy to implement • map operator supports asynchronous operation

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