The speakers provide insight into design and architectural challenges for creating REST services with Spring Integration with RabbitMQ.
Ben Hale discusses how to design microservices as RESTful APIs and implement them with minimal code using Spring Boot.
Craig Walls presents some of the features supported in Spring 4 including WebSockets, REST controllers, conditional configuration, ordered list injection, compatibility with Java 8 and Java EE 6&7.
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.