Dan Woods discusses the approach to developing a scalable enterprise architecture, and demonstrates implementations based on the variety of technologies available from the Groovy ecosystem.
Reid Draper shows how real world distributed database work, communicate and are tested, trading RPC for messaging, unit-tests for QuickCheck, and micro-benchmarks for multi-week stress tests.
Dan Macklin explains why bet365 has adopted Erlang as a core development platform and goes through the highs and lows of managing change in one of the world's biggest on-line bookmakers.
Simon Marlow explains how to use Haxl to automatically batch and overlap requests for data from multiple data sources.
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.