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Build Your Own PaaS the Netflix Way!
Sudhir Tonse presents Netflix' composable PaaS built with several components that have been open sourced.
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Architecting Organizations for the Cloud
Sebastian Stadil advises on selecting the right cloud from EC2, GCE, or OpenStack based on one's needs, outlining the deployment and administrative challenges to be faced with each option.
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Machine Learning & Recommender Systems at Netflix Scale
Xavier Amatriain discusses the machine learning algorithms and architecture behind Netflix' recommender systems, offline experiments and online A/B testing.
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The Yin and Yang of Hardware Heterogeneity: Can Software Survive?
Kathryn S. McKinley discusses research approaches and results that abstract, choose, and exploit hardware heterogeneity providing computational power at low energy consumption levels.
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From Code to Monkeys: Continuous Delivery at Netflix
Dianne Marsh presents the open source tools used by Netflix to keep the continuous delivery wheels spinning.
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Claims Based Authentication
Justin Kobel introduces claims-based authentication, what are claims, their life cycle, explaining how to consume them in .NET through a number of demoes.
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Online Controlled Experiments: Introduction, Insights, Scaling, and Humbling Statistics
Ronny Kohavi shares lessons learned, cultural and scaling challenges conducting hundreds of concurrent online controlled experiments at Bing.
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Evolution of the Netflix API
Ben Christensen describes Netflix API's evolution to a web service platform serving all devices and users, the challenges met in operations, deployment, performance, fault-tolerance, and innovation.
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Apache Tez: Accelerating Hadoop Query Processing
Bikas Saha and Arun Murthy detail the design of Tez, highlighting some of its features and sharing some of the initial results obtained by Hive on Tez.
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How Netflix Architects for Survival
Jeremy Edberg discusses how Netflix designs their systems in order to survive outages, network latency and random instance failure.
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Samza: Real-time Stream Processing at LinkedIn
Chris Riccomini discusses: Samza's feature set, how Samza integrates with YARN and Kafka, how it's used at LinkedIn, and what's next on the roadmap.
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Curing Your Event Processing Blues with Rx
Donna Malayeri and Matthew Podwysocki discuss the JavaScript and .NET versions of Rx, as well as projects such as Rx.rb and RxCpp.
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