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How Shutl Delivers Even Faster Using Neo4J
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
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Engineering Velocity: Shifting the Curve at Netflix
Dianne Marsh describes how Netflix' tooling, especially the continuous delivery system, allows developers to push the button for production deployment, and helps them to recover if necessary.
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End to End Reactive Programming at Netflix
In this talk Jafar Husain and Matthew Podwysocki explore the Reactive Extensions (Rx) library which allows to treat events as collections. Also: how Netflix uses Rx on the client and the server.
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Introduction to Google Dart
Chad Adams introduces Dart: Dart Editor, Dartium, and generating JavaScript with Dart2JS.
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Using Docker in Cloud Networks
Chris Swan takes a look at Docker: what it is, why it was chosen, how it became an established platform, and what it takes to package applications and application infrastructure for use with Docker.
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Canary Analyze All The Things: How We Learned to Keep Calm and Release Often
Roy Rapoport discusses canary analysis deployment and observability patterns he believes that are generally useful, and talks about the difference between manual and automated canary analysis.
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How We Built a Cloud Platform Using Netflix OSS
Carl Quinn explains how Riot Games built a cloud platform based on the Netflix OSS stack plus a number of other extensions including Dropwizard, Eureka, Archaius, Asgard, Edda, etc.
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Node Red
Nick O'Leary introduces Node-RED, an open source and browser-based environment for visually wiring together the many different streams that exist in the world of IoT.
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Federated Identity for IoT with OAuth
Paul Fremantle discusses using WSO2 Identity Server for a federated identity for the Internet of Things.
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ZooKeeper for the Skeptical Architect
Camille Fournier explains what projects ZooKeeper is useful for, the common challenges running it as a service and advice to consider when architecting a system using it.
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Doing Data Science with F#
Tomas Petricek introduces F#’s capabilities in dealing with scientific data: type providers -CSV, XML, JSON, REST-, interactive development, data visualization libraries, integration with R or MathLab
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Getting Started with Glass
Jacob Rutledge introduces Google Glass, what can be done with it and how to get started programming against it with Android SDK, sharing his own experience with it as a consumer and developer.
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