Greg Murphy describes how GameSparks has designed their platform to be tolerant of many things: unreliable and slow internet connectivity, cloud resources that can fail without warning, and more.
Greg Hawkins discusses how Starling Bank, part of the new movement in FinTech challenger banks, is innovating while addressing the need for resilience in a world where failure is everywhere.
Frances Perry and Tyler Akidau discuss Apache Beam, out-of-order stream processing, and how Beam’s tools for reasoning simplify complex tasks.
Stefan Krawczyk discusses how StitchFix used the cloud to enable over 80 data scientists to be productive and have easy access, covering prototyping, algorithms used, keeping schema in sync, etc.
Bernard Traversat discusses JVM enhancements addressing cloud deployment requirements such as G1 GC, segmented code cache, contended locking, and density String.
Mark Heckler introduces the IoT & Cloud concepts and demonstrates how one necessitates the other.
Eric Bottard and Ilayaperumal Gopinathan discuss easy composition of microservices with Spring Cloud Data Flow.
Katie Mooney, Dillon Woods and Cahlen Humphreys point out key differences in Spring XD that have been resolved in Spring Cloud Data Flow.
Marius Bogoevici demonstrates how to create complex data processing pipelines that bridge the big data and enterprise integration together and how to orchestrate them with Spring Cloud Data Flow.
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.
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.