Frank Moley discusses creating RESTful web services with Spring Framework 3.x and 4.x. He also addresses object modeling and URL modeling using common patterns.
Josh Long introduces some of the latest Spring features supporting HATEOAS-compliant and OAuth-secured REST services, NoSQL and Big Data, Websockets, OAuth, open-web security and mobile.
Paul Hill presents a case study of building an API with a short deadline using Node.js, WebSocket, MongoDB, JSON, Promises, Swagger, Memcached, Varnish and Hypermedia ReST.
Adrian Cockcroft discusses strategies, patterns and pathways to perform a gradual migration from monolithic applications towards cloud-based REST microservices.
John Musser takes a look at some of the common mistakes made by API providers, providing advice on what can be done to avoid them.
Tomas Petricek introduces F#’s capabilities in dealing with scientific data: type providers -CSV, XML, JSON, REST-, interactive development, data visualization libraries, integration with R or MathLab
Ted Epstein shows how a shared canonical model can make life easier for API consumers, while still allowing the flexibility to expose different services, with different contextual requirements.
Todd Montgomery explains using WebSocket and reactive programming in an event driven RESTful architecture for the emerging IoT world.
Brandon Byars discusses the constraints and the flexibility of nonpublic APIs, and lessons learned from scaling RESTful integration across more than a dozen teams.
In this solutions track talk, sponsored by Intel, Peter Logan looks at the evolution of the service layer in the context of API management and describes new architectural approaches for enterprise.
Ramnivas Laddad and Arjen Poutsma discuss the Spring Scala project and its features, demoing a real REST-based application with a Spring and Scala backend and AngularJS frontend.