Evan Krall talks about Paasta, which is Yelp's platform for running services, built on Docker, Mesos, Marathon, SmartStack, git, and Jenkins.
Natalia Chechina outlines features of actor and functional programming models, and the reason these models attract so much interest in parallel, concurrent, and scaling world.
Viktor Klang explores fast data streaming using Akka Streams - how to design robust transformation pipelines with built-in flow control able to take advantage of multicore and go over networks.
Ole Lensmar takes a look at a number of common API virtualization use cases - design-first development, sandboxing and load testing - to see how and when virtual APIs can help and when they can’t.
Sharad Murthy & Tony Ng present Pulsar, a real-time streaming system which can scale to millions of events per second with high availability and 4GL language support.
Matthew Renze introduces the R programming language and demonstrates how R can be used for exploratory data analysis.
Felienne Hermans presents various algorithms that outlining the power of Excel, showing that spreadsheets are fit for TDD and rapid prototyping.
Carl Hewitt keynotes on the Actor Model and ActorScript, providing examples of using them for large-scale datacenters and IoT.
Giannakakis and Dalkitsis present how Shazam releases faster, more predictably and with more features by using BDD and automation testing, without slowing down or hindering the development process.
Neha Narkhede discusses how companies are using Apache Kafka and where it fits in the Big Data ecosystem.
Christopher Meiklejohn looks at applying two techniques together, deterministic data flow programming and conflict-free replicated data types, to create highly available and fault-tolerant systems.
Michael Brunton-Spall shows how DevOps-like patterns can be applied on microservices to give the development teams more responsibility for their choices, and much more.