HD Java Usergroup Berlin-Brandenburg: Going reactive with Spring Data

Java Usergroup Berlin-Brandenburg: Going reactive with Spring Data
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I have a stream: Going reactive with Spring Data (Mark Paluch, Christoph Strobl): Data access and application scalability are closely related. Applications employ threads until they are done with their work while most of the time is waiting for I/O. Reactive infrastructure shifts responsibilities to where they can be handled best. It’s a move towards data streaming that does not require upfront fetching and therefore optimizes memory and computational resources.This talk covers what a stream is and how reactive data access leverages scalability bounds by applying the most natural way of data access with Spring Data and Project Reactor. If you are a developer looking to consume data in a functional reactive style, this is your chance to gain the experience how your application can benefit from streaming data access and to learn why not everything should be reactive.Slides: Code: