Stephen Hardisty presents how Etsy delivers products without having project managers, business analysts, or testers.
Vaclav Petricek digs some of the romantic interactions nuggets hidden in eHarmony's large collection of human relationships.
Michael Kopp explains how to run performance code at scale with Hadoop and how to analyze and optimize Hadoop jobs.
John O’Hara discusses banking business and technology integration, covering: low-latency, high-frequency trading, in-memory caches, multi-terabyte time-series databases, complex contracts in NoSQL stores and advanced systems integration.
Nathan Marz shares lessons learned building Storm, an open-source, distributed, real-time computation system.
Eli Collins overviews how to build new applications with Hadoop and how to integrate Hadoop with existing applications, providing an update on the state of Hadoop ecosystem, frameworks and APIs.
Dean Wampler supports using Functional Programming and its core operations to process large amounts of data, explaining why Java’s dominance in Hadoop is harming Big Data’s progress.
Ian Goodsell discusses the challenges encountered with tool versioning and new approaches needed to support continuous delivery.
Alex Papadimoulis conducts a tutorial on delivery and deployment at scale.
Wil Stuckey explains how Etsy manages to deploy nearly ~10,000 changes in one year, and how they run A/B experiments in the midst of continual code change.
Deepak Giridharagopal discusses the Clojure solution implemented for PuppetDB, a centralized storage solution for Puppet.
Jessica McKellar introduces Twisted, a Python event-driven networking engine, and explaining several design concepts used: deferred API, transport/protocol separation, and plug-in infrastructure.