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.
Katie Mooney, Dillon Woods and Cahlen Humphreys point out key differences in Spring XD that have been resolved in Spring Cloud Data Flow.
Fred Melo introduces Spring Cloud Stream from a Data Microservices perspective.
Michael Minella and Glenn Renfro introduce Spring Cloud Task providing capabilities for building short lived, cloud-native microservices, as well as look at example applications.
Nivesh Gopathi describes the use cases for dynamic configuration and application secrets management, and how GapTech are solving these at scale using Spring Cloud Config, Vault and Consul.
Marcin Grzejszczak shows how to use the Spring Cloud Contract Verifier to stub HTTP / Messaging collaborators, faking microservices with stubs that were tested against their producer.
Uttara Sridhar dives deep into the architecture behind Amazon ECS and demonstrates the key features to build and run a container-based application on Amazon ECS.
Sharma Podila reviews the state of containers usage in Netflix, discussing projects Titus and Mantis, AWS integration, and using Fenzo to run an elastic infrastructure for a varied mix of workloads.
Jie Yu discusses how containers are managed in Mesos, the future of container support in Mesos, and shows some of the new container networking and storage features.
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