Remove Games Remove Latency Remove Systems
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Foundation Model for Personalized Recommendation

The Netflix TechBlog

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

Tuning 200
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How Park ‘N Fly eliminated silos and improved customer experience with Dynatrace cloud monitoring

Dynatrace

The blame game. Park ‘N Fly’s business relies on successfully integrating its booking system with its custom-built kiosks located at its off-airport parking lots. “As For example, if there is a latency on a particular service, Dynatrace will flag this and trace its source – even if the source is a third party.

Cloud 229
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Pushy to the Limit: Evolving Netflix’s WebSocket proxy for the future

The Netflix TechBlog

Sample system diagram for an Alexa voice command. The other main use case was RENO, the Rapid Event Notification System mentioned above. Rewriting always comes with a risk, and it’s never the first solution we reach for, particularly when working with a system that’s in place and working well.

Latency 234
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Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 239
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix delivers shows like Sacred Games, Stranger Things, Money Heist, and many more to more than 150 million subscribers across 190+ countries around the world. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking.

AWS 38
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Most Common RabbitMQ Use Cases

Scalegrid

Key features of RabbitMQ, such as message acknowledgments, complex routing, and asynchronous processing, contribute to system reliability and performance. Use cases for RabbitMQ encompass areas like order processing in eCommerce, real-time notifications, and multiplayer gaming, showcasing its adaptability to different operational needs.

Ecommerce 130
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Unlocking Enterprise systems using voice

All Things Distributed

The interfaces to our digital system have been dictated by the capabilities of our computer systems—keyboards, mice, graphical interfaces, remotes, and touch screens. As a result, they fail to deliver a truly seamless and customer-centric experience that integrates our digital systems into our analog lives.

Systems 93