Saul Caganoff discusses the different use cases for API consumption and the technical affordances API designers can provide to support those use cases.
Anne Currie talks about the architectural impact of containers, and what modern container schedulers mean for resilience, redundancy and server density.
Brandon Philips describes how bringing containers, schedulers, and distributed systems together will create more reliable and greatly more trusted server infrastructures.
Alan Ngai and Premal Shah discuss best practices on monitoring distributed real-time data processing frameworks and how DevOps can gain control and visibility over these data pipelines.
Daniel Bryant talks about the 2016 edition of the seven deadly sins in building microservices, some of the anti-patterns in microservices along with tools for avoiding them.
Emily Reinhold shares stories of how a rapid growth company broke up a monolith into a series of microservices, with practices and lessons that can save time and money.
Olaf Carlson-Wee explores micropayment and wealth storage use cases for bitcoin and examines cryptosystems used to facilitate micro-penny payments and secure $B in global bitcoin banks.
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.
Tim Wagner defines server-less computing, examines the key trends and innovative ideas behind the technology, and looks at design patterns for big data, event processing, and mobile using AWS Lambda.
Charles Rivet introduces Papyrus RT, an industrial-grade modeling environment for the development of complex, software intensive, real-time, embedded, cyber-physical systems.
Lindsay Holmwood discusses the problems with the traditional approach to digital service delivery in government, and how APIs enable the DTO to help government deliver simpler, faster public services.