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Tuesday, October 4 • 4:30pm - 5:20pm
Reactive Stream processing at Netflix

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Netflix customers stream over two billion hours of content each month, accounting for over a third of downstream Internet traffic during peak hours. At this scale, Netflix's systems generate and collect millions of events every second, such as request traces, streaming client activities, and system metrics. It is essential for engineers to process such data streams efficiently and reliably to support real-time monitoring and alerting, outlier detection, application diagnostics, trend prediction, and many other operations.

This talk will discuss Netflix's stream processing system a.k.a. Mantis that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second with configurable message delivery guarantees.

Mantis is a stream processing framework built on reactive principles using RxJava, Netty and ReactiveSocket. It provides users with the capabilities to write scalable stream processing jobs without having to worry about hard problems such as managing continuous data flow in a distributed environment or ensuring fault tolerance.

Speakers
avatar for Neeraj Joshi

Neeraj Joshi

Senior Software Engineer, Netflix
Neeraj is a Senior Software Engineer on the Netflix Edge Realtime Events team. He has over 12 years of experience in the industry building highly scalable and resilient systems. He designed and developed Scryer Netflix’s predictive autoscaling engine and is the key contributor to Netflix’s next generation stream processing system.
avatar for Nick Mahilani

Nick Mahilani

Senior Software Engineer, Netflix
Nick is a Senior Software Engineer on the Netflix Edge Realtime Events team. He has over 10 years of software engineering experience building a range of software systems from embedded routing/switching software to highly scalable distributed microservices.


Tuesday October 4, 2016 4:30pm - 5:20pm
Texas Ballroom