Xavier Amatriain discusses how Netflix uses specialized roles, including that of the Data Scientist and Machine Learning Engineer, to deliver valuable data at the right time to Netflix' customer base through a mixture of offline, online, and nearline data processes. Xavier also discusses what it takes to become a Machine Learning Engineer and how to gain real experience in the field.
Eva Andreasson explains the various Hadoop technologies and how they interact, real-time queries with Impala, the Hadoop ecosystem including Hue, Oozie, YARN, and much more.
Dave Farley discusses the reasons for Continuous Delivery and Continuous Deployment, the advantages and challenges they pose, and much more.
Tim Berglund explains GitHub's approach to product owners and product development and how that can (or can not) translate to other companies.
Ed Cortis talks about Agile (or whether it is just common sense) in Operations teams as well as sharing his experiences in rolling out an Activity Based Working environment at Bankwest.
Rachel Laycock explains her experience with bringing Continuous Delivery to companies, the main technical and social obstacles, and much more.
Stephen Nelson-Smith, CTO of Strategic Blue, explains why cloud computing has become a commodity and the financial and technical advantages as well as risks of trading cloud providers.
Alex Papadimoulis shares his thoughts on distribution vs delivery, decoupling infrastructure (pull) from application (push) deployments and keeping delivery systems simple, especially for web scale applications. In particular Alex describes three different types of roll-outs: Live, Rolling and Parallel and their applicability (cloud-based delivery vs in-house servers).
Gareth Rushgrove on what's driving UK Government's adoption of cloud computing and the challenges posed by such endeavor. He also shares his view on navigating through multiple cloud provider solutions and their jargon.
Ben Christensen explains how Netflix manages to stay online even with millions of users, the Hystrix fault tolerance library, how Netflix discovered reactive programming and why it ported Rx to Java.
Baruch Sadogursky and Shlomi Ben Haim discuss the impotence of Binary repositories for building modular software, JFrog's Artifactory and Bintray products, and their partnership with Black Duck.
Jim Hirschauer describes the application monitoring tool landscape, KPIs and metrics to consider when monitoring, and compares monitoring traditional vs. cloud-based applications. He talks about performance considerations when instrumenting code, how organizations can be 'Smarter' about their Big Data, and looks at what's new in AppDynamics 3.7.