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.
Heidi Waterhouse discusses seven issues to tackle during project development: Localization, Security, Extensibility, Documentation, Affordance, Acceptance, Accessibility.
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.
David Julia describes some patterns that Pivotal Labs have employed over the last two years of building Spring Boot based microservices in the context of legacy systems.
The speakers discuss the organizational structure and communication and development strategies and tools to allow teams to work in parallel without drowning in process overhead and coordination costs.
Mike Gehard takes the journey from monolith to microservices.
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.
Katie Mooney, Dillon Woods and Cahlen Humphreys point out key differences in Spring XD that have been resolved in Spring Cloud Data Flow.
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