Terena Bell underlines the importance of designing applications for multiple languages including right-to-left ones in an age of rapid globalization.
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.
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.
Todd Montgomery explains using WebSocket and reactive programming in an event driven RESTful architecture for the emerging IoT world.
Domenic Denicola talks about the WHATWG stream specification, uncovering the abstractions used to build web streams and the API around them.
Paul Simmonds discusses the importance of identity and attribute information that will define how access to the functionality and how data is governed by applications in the near future.
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 the new prevailing developments in API management and describes new architectural approaches an enterprise can take as they look to merge these two worlds, taking the best practices from both domains.
Sander Hoogendoorn shares patterns to avoid framework issues by using layered architectures, bridge patterns, managers-providers, DI, descriptors and layer super-types, including code samples.
Richard Crowley introduces Go standard library's HTTP packages, the relationship between JSON and Go's data structures, and Go's support for reflection, useful to create safe APIs.
Alvaro Videla presents the more advanced features of RabbitMQ: federated brokers, HA queues and support for many protocols and languages.