Manny Pelarinos talks about the tension of optimizing APIs for different experiences, while supporting hundreds of endpoints and many web and mobile applications at scale.
Michael Hyatt discusses the main complains users have with APIs and ways to address them using early user acceptance testing, RAML, JSON schemas, traits and mocks.
Stefanie Schirmer talks about the case study of building an API-first architecture at Etsy, why they built it, the tools used, the mistakes made and the lessons learnt along the way.
Mat Ryer takes a look at the code used for a real API running on Google AppEngine, discussing best practices for delivering modern web services.
Rob Valk introduces the JSON-API 1.0 spec, taking a look at JVM ecosystem support for the standard with the katharsis.io library and its integration with the Mule runtime.
David Simons introduces microservices as a developer's API tool, discussing why and when makes sense to use them, and the tools that make it easy to deal with a microservices architecture.
Evan Broder talks about how Stripe has designed the systems to speed up the development process and how the software infrastructure in their API enables the next tech companies to build faster.
Andrew Psaltis talks about Apache Beam, which aims to provide a unified stream processing model for defining and executing complex data processing, data ingestion and integration workflows.
Saul Caganoff discusses the different use cases for API consumption and the technical affordances API designers can provide to support those use cases.
Matthew Erbs discusses the need for applying lessons learned building APIs for customers to the creation of internal APIs for the DevOps team.
Ross Garrett explores how design decisions may be leading to poor UX, discussing the principles of reactive applications and how streaming APIs can deliver significant benefits over RESTful APIs.
Nik Wakelin discusses why developers dislike writing documentation, what can be done about it and how to improve the process of writing docs.