Joe Kutner talks about Kafka and where it fits in a Spring app and how to make it do things message queues simply can't.
Konrad Malawski explains what the word Stream means, then looks at how its protocol works and how one might use it in the real world showing examples using existing implementations.
Les Hazlewood goes beyond the traditional way to secure applications and deep dives into how Spring Security + Stormpath offer an instant user management system for Spring Boot applications.
Victor Gamov and Neil Stevenson present using Spring Data for a Hazelcast project, built on the KeyValue module and providing infrastructure components for creating repository abstractions.
Rob Wormald, Lee Byron and Taras Mankovski discuss the strengths and weaknesses of Ember, Angular, and React and how one can benefit from each.
Sean Larking talks about the four concepts everyone should know when using Webpack so they can take and make it their own.
Oleg Zhurakousky provides a quick introduction to Apache NiFi, demonstrates its core features while concentrating on WHY/WHERE and HOW of integrating with Spring.
Andreas Evers introduces Spring REST Docs and its test-driven approach to RESTful API documentation.
Christian Posta explains building microservices with Spring, Spring Cloud, and Netflix OSS and running them on Docker and Kubernetes.
Eric Bottard and Ilayaperumal Gopinathan discuss easy composition of microservices with Spring Cloud Data Flow.
Gil Tene presents the current state of Java SE and OpenJDK, the role of Java in the Big Data and Infrastructure components, JCP, the ecosystem, trends, etc.
Daniel Tunkelang talks about what search looks like when viewed through a query understanding mindset. He focuses on query performance prediction, query rewriting, and search suggestions.