Neha Narkhede of Kafka fame shares the experience of building LinkedIn's powerful and efficient data pipeline infrastructure around Apache Kafka and Samza to process billions of events every day.
The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.
Terence Yim from Continuuity showcases a transactional stream processing system that supports full ACID properties without compromising scalability and high throughput.
Gabriel Gonzalez introduces TSAR (TimeSeries AggregatoR), a service for real-time event aggregation designed to deal with tens of billions of events per day at Twitter.
Jonas Bonér discusses four key traits of Reactive Apps: Event-Driven, Scalable, Resilient and Responsive, how they impact application design, how they interact, related technologies and techniques.
Todd Montgomery explains using WebSocket and reactive programming in an event driven RESTful architecture for the emerging IoT world.
Jonas Bonér discusses how the four traits of reactive apps -Event-Driven, Scalable, Resilient and Responsive- impact app design, how they interact, and their supporting technologies and techniques.
Greg Young discusses unexpected use cases and possible usages of the Event Store.
Peter Ledbrook overviews several application architectures that can be done in Grails: MVC plus a DB back-end and a service layer, single-page, and event-based back-end.
Chris Riccomini discusses: Samza's feature set, how Samza integrates with YARN and Kafka, how it's used at LinkedIn, and what's next on the roadmap.
Jessica McKellar introduces Twisted, a Python event-driven networking engine, and explaining several design concepts used: deferred API, transport/protocol separation, and plug-in infrastructure.
Ward Cunningham keynotes on how Events, Sockets, CORS, Closures, SVG, DSLs, Canvas, EC2 and Raspberry Pi contribute to a new type of wiki, a federated one.