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Spring Cloud at Netflix
Jon Schneider and Taylor Wicksell explain how they leveraged Spring Cloud Netflix inside of Netflix in applications and extended it further to incorporate fast properties, Atlas metrics, and more.
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Modern Apps & Microservices
Bob Familiar introduces microservices, discussing their architecture and outlining cloud deployment scenarios, exemplified by a live demo on Microsoft Azure.
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Modeling Complex Game Economy with Neo4j
Yan Cui shares lessons learned using Neo4j to model the in-game economy of the "Here Be Monsters" game and automate the balancing process.
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One Delegate to Rule Them All: Understanding OWIN
Keith Dahlby overviews OWIN, discussing its implications for .NET web application design and reviewing a real-world example of OWIN in action.
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C# Inception: Using Roslyn and C# Code to Analyze C# Code
Project Roslyn is Microsoft's next generation .Net compiler. Its API allows you to dig into the details of any C# or VB Code.
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Getting Pushy with SignalR and Reactive Extensions
Jim Wooley outlines the synergies between SignalR and Reactive Extensions enabling asynchronous LINQ over HTTP push notifications sent to a variety of clients.
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Spreadsheets for Developers
Felienne Hermans presents various algorithms that outlining the power of Excel, showing that spreadsheets are fit for TDD and rapid prototyping.
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Reactive Stream Processing at Netflix
Justin Becker & Neeraj Joshi describe Mantis, discuss the challenges associated with designing for the cloud, processing billions of events, all while being cost sensitive.
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Breaking Bad at Netflix: Building Failure as a Service
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.
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Netflix’s Viewing Data Microservices: How we Know Where you are in House of Cards
Matt Zimmer discusses architectural patterns -service decomposition, stateless application tiers, and polyglot persistence- and migration strategies used by Netflix.
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Distributed Scheduling with Apache Mesos in the Cloud
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.
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Building Distributed Systems with Apache Mesos
Benjamin Hindman discusses Apache Mesos, focusing on the Mesos API and how the primitives provided by Mesos can make it easier to build new stateful services and frameworks.
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