
Explore digital twin technology and reactive architectures in automotive applications, covering connected, electric, and autonomous vehicles across embedded, edge, cloud, and enterprise environments.

Explore reactive streams for handling data flows, focusing on back-pressure and distributed processing. Learn principles, examples, and implementations using Akka and Java 8.

Explore reactive applications and systems using JDK9's Flow interface, learning how to build scalable, high-performance apps and interconnected systems with Akka and RxJava.

Build a full Spring Boot application with Kotlin backend, Java client, and JavaFX UI. Learn reactive programming, REST services, RSocket, and more in this hands-on tutorial.

Explore asynchronous programming with RxJava: model reactive sources, handle data streams, and learn about Java 9's Flow API for building robust, responsive applications.

Explore integrating Spark Streaming with reactive applications using Reactive Streams, focusing on back pressure support and creating a fully reactive system for efficient data processing.

Explore how to simplify microservices using Kafka and Reactive Streams, focusing on latency reduction, back-pressure, high availability, and message payload evolution.

Discover modern reactive programming techniques in Java using JDK 9-11 features, including Stream and CompletableFuture APIs, Reactive Streams, and HTTP/2 client.

Explore HTTP/2 and Reactive Streams through an interactive demonstration that turns the audience into a real-time orchestra, showcasing practical applications and benefits of these web technologies.

Explore efficient processing of large XML files for e-voting systems using reactive streams, focusing on Swiss federalism challenges and data integration techniques.

Explore reactive relational database connectivity, its benefits, and implementation in fully reactive stacks. Learn about R2DBC's API, features, and advantages over traditional approaches.

Explore RSocket, a fast and resilient network protocol with reactive streams semantic for efficient microservices communication. Learn its advantages over REST and gRPC for building reactive systems.

Explore reactive programming with Spring 5 and Project Reactor, covering asynchronous I/O, data access, and building resilient, responsive services. Learn testing techniques and see a live coding demo.

Explore Spring Framework 5's key features: reactive web apps, functional configuration with Java 8 and Kotlin, and support for JDK 9 and Enterprise Java APIs. Gain insights into design decisions and future directions.

Explore the reactive landscape, understanding key concepts like asynchronous programming, RX libraries, and reactive systems. Learn practical applications using Eclipse Vert.x through live coding demonstrations.

Explore Akka Streams through live coding, covering basics and advanced uses in reactive stream processing. Learn practical implementation techniques for real-world scenarios.

Explore fast data streaming with Akka Streams, designing robust transformation pipelines with flow control. Learn to create immutable processing logic and compose reusable stream transformations that leverage multicore hardware.

Explore Java Streams and Reactive Streams, comparing their features, use cases, and implementation. Learn when and how to apply each for efficient and responsive programming.

Explore reactive programming in RESTEasy, including client-side and server-side additions, asynchronous processing, and non-blocking I/O, with practical code examples and new feature demonstrations.

Explore reactive programming in Spring 5, covering WebFlux, Spring Data Kay, Security 5.0, Boot 2.0, and Cloud Finchley. Learn to build resilient systems with new Netty-based web runtime and component model.

Explore Spring Framework 5.0's compatibility with JDK 8 and 9, learning benefits, challenges, and upgrade strategies for Java applications. Gain insights on classpath and module path implementations.