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.
Kolton Andrus presents how Netflix, in order to harden their systems, designed “Failure as a Service” to allow anyone to test and validate how their systems handle failure.
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.
Phil Calcado shares the toolkit and strategy SoundCloud uses to keep its microservices explosion manageable, dealing with operations overhead, DevOps, breaking changes and asynchronous behaviors.
Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective. The future of global, trustless transactions on the largest graph: blockchain. Algorithms for Anti-Money Laundering
Diptanu Choudhury discusses the design of Netflix’ distributed scheduler based on Mesos and Titan, focusing on bin packing algorithms, scaling in and out of clusters, fault tolerance, and redundancy.
Chris Oldwood takes a look at a variety of both command-line and GUI tools - build automation, testing and support - that have proved to be useful to the speaker time-and-time again.
Kin Lane discusses the opportunities of deploying high value, re-mixable APIs, using Docker.
Anil Madhavapeddy explains how the OCaml module system enables the construction of a large scale OS software, and also the resulting portability benefits.
Chris Richardson shares his experiences developing and deploying a microservices-based application.
Paul Stack describes what DevOps is and how it is a great way for the entire business to achieve their goals.
Jessie Frazelle takes a look inside the tools built in Go centered around infrastructure and ops - from Docker to etcd to nsq and more.