InfoQ Homepage Netflix Content on InfoQ
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Reactive Programming with Rx
Ben Christensen summarizes why the Rx programming model was chosen and demonstrates how it is applied to a variety of use cases.
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How We Learned to Stop Worrying and Start Deploying the Netflix API Service
Sangeeta Narayanan goes over how Netfix got to the current continuous delivery state, the lessons they learnt and the successes they enjoyed along the way.
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Asynchronous Programming at Netflix
Husain shows the Reactive Extensions (Rx) library which allows one to treat events as collections, how Netflix uses Rx on the client and the server, allowing it to build end-to-end reactive systems.
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Mantis: Netflix's Event Stream Processing System
The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.
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Spring Boot and Netflix OSS
The authors present basic concepts about Spring Boot and Netflix OSS software and how to integrate Netflix OSS technologies into Spring Boot.
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Machine Learning at Netflix Scale
Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.
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How Netflix Leverages Multiple Regions to Increase Availability: An Active-Active Case Study
Ruslan Meshenberg discusses Netflix's challenges, operational tools and best practices needed to provide high availability through multiple regions.
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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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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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End-to-End Reactive Programming at Netflix
Jafar Husain, Matthew Podwysocki teach developers to think about events as collections, demonstrating some basic collection operations to express complex asynchronous programs as simple expressions.
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