Eugene Mandel discusses challenges of conforming data sources and compares processing stacks: Hadoop+Redshift vs Spark, showing how the technology drives the way the problem is modeled.
Stuart Williams takes a walk through the RTI architecture and explains how Spring performs at hundreds (and millions) of events/operations per second.
Michael Minella uses Spring XD and Spring Batch to orchestrate the full lifecycle of Hadoop processing and uses Apache Mahout to provide the audience with the recommendation processing.
Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.
Armon Dadgar presents Consul, a distributed control plane for the datacenter. Armon demonstrates how Consul can be used to build, configure, monitor, and orchestrate distributed systems.
Stefan Tilkov makes a pragmatic introduction to the basic principles of the Web's architectural approach, and takes a look at the most common misconceptions.
Sudhir Tonse discusses about the robust interprocess communications (IPC) framework that Netflix built (Ribbon).
David Tanzer, Oliver Zymanski explain with examples how to apply the rules and principles of object-oriented software design to create simple architectural designs.
Ian Cooper takes a look at two architectural patterns: pipelines for dealing with streams of data effectively, and events which provide significant advantages for loose coupling.
Peter Bourgon provides a practical introduction to Conflict-free Replicated Data Types (CRDTs) and describes a production CRDT system built at SoundCloud to serve several product features.
Chris Beams shares his findings from over two years of research into bitcoin and related technologies.
Greg Young advises understanding the pros and cons of a system’s concepts and environments in order to avoid oscillating between options or choosing the wrong ones.