Doug Daniels discusses the cloud-based platform they have built at DataDog and how it differs from a traditional datacenter-based analytics stack, pros and cons and the tooling built.
Tom Faulhaber discusses the new container-based toolbox for building systems that are robust in the face of failures, how to recover from failure and how the tools can be used to best effect.
Sean Larking talks about the four concepts everyone should know when using Webpack so they can take and make it their own.
Marcin Grzejszczak and Reshmi Krishna describe how to do distributed tracing with Spring Cloud Sleuth and Zipkin, demoing incorporating these technologies into an existing stock trading application.
Adrian Cole overviews how to debug latency problems using call graphs created by Zipkin, taking a look at the ecosystem, including tools to trace Ruby, C#, Java and Spring Boot apps.
Casey Rosenthal talks about a new discipline called Intuition Engineering and Vizceral, a tool they built at Neflix to process massive amounts of visual data in parallel.
Greg Turnquist talks about Spinnaker, the open source continuous deployment tool that supports multiple clouds, multiple languages, and multiple providers.
Stephane Nicoll and Yann Cebron talk about how to navigate, edit and perform refactorings across a variety of common Spring technologies.
Martin Lippert, Krris De Volder and Andy Clement showcase the latest features for working with Spring Boot - using live demos and live coding.
Alex Ley introduces Concourse, an open source pipeline based CI system that focuses on simplicity, usability and reproductibility, with isolated builds.
Songxiao Zhang introduces Pyh3, a graph visualization library showing tree nodes in a 3D hyperbolic space.
Nathan Taylor provides an introduction to the dynamic analysis research space, suggesting integrating these techniques into various internal tools.