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43:39

Netflix Built Its Own Monitoring System - and Why You Probably Shouldn't

Posted by Roy Rapoport  on  Apr 11, 2015

Roy Rapoport shares some of the lessons Netflix learned building a monitoring system, the challenges, pitfalls and opportunities encountered along the way.

53:53

Scalable Microservices at Netflix. Challenges and Tools of the Trade

Posted by Sudhir Tonse  on  Mar 01, 2015 2

Sudhir Tonse discusses about the robust interprocess communications (IPC) framework that Netflix built (Ribbon).

54:27

Reactive Programming with Rx

Posted by Ben Christensen  on  Feb 10, 2015

Ben Christensen summarizes why the Rx programming model was chosen and demonstrates how it is applied to a variety of use cases.

48:09

How We Learned to Stop Worrying and Start Deploying the Netflix API Service

Posted by Sangeeta Narayanan  on  Jan 17, 2015

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.

54:51

Asynchronous Programming at Netflix

Posted by Jafar Husain  on  Jan 04, 2015

Jafar Husain shows the Reactive Extensions (Rx) library which allows to treat events as collections, how Netflix uses Rx on the client and the server, allowing to build end-to-end reactive systems.

41:50

Mantis: Netflix's Event Stream Processing System

Posted by Danny Yuan,Justin Becker  on  Dec 04, 2014

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.

01:28:22

Spring Boot and Netflix OSS

Posted by Spencer Gibb,Dave Syer  on  Nov 26, 2014

The authors present basic concepts about Spring Boot and Netflix OSS software and how to integrate Netflix OSS technologies into Spring Boot.

43:56

Machine Learning at Netflix Scale

Posted by Aish Fenton  on  Oct 07, 2014 4

Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.

46:57

How Netflix Leverages Multiple Regions to Increase Availability: An Active-Active Case Study

Posted by Ruslan Meshenberg  on  Sep 21, 2014

Ruslan Meshenberg discusses Netflix's challenges, operational tools and best practices needed to provide high availability through multiple regions.

45:04

Engineering Velocity: Shifting the Curve at Netflix

Posted by Dianne Marsh  on  Sep 14, 2014 2

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.

54:31

End to End Reactive Programming at Netflix

Posted by Jafar Husain, Matthew Podwysocki  on  Sep 14, 2014

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.

52:06

Canary Analyze All The Things: How We Learned to Keep Calm and Release Often

Posted by Roy Rapoport  on  Aug 28, 2014 1

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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