Entertainment Network Systems 
The Netflix TechBlog
DECEMBER 17, 2024
At Netflix, we seek to entertain the world by ensuring our members find the shows and movies that will thrill them. To learn more, follow the Netflix Research Site , and if you are also interested in entertaining the world, have a look at our openroles !
The Netflix TechBlog
NOVEMBER 15, 2022
But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” This ultimately results in more compelling entertainment for Netflix members. including AWS Thinkbox Deadline and Pixar’s Tractor.
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Dynatrace
APRIL 19, 2023
People now depend on digital experiences for access to goods, services, and entertainment. As such, the corporation’s mission is to deliver exceptional—and healthy—gambling entertainment experiences. “A lot has changed and it’s a lot better now that we have a detailed view of how our players behave in the system.”
The Netflix TechBlog
NOVEMBER 22, 2019
Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking.
The Netflix TechBlog
MAY 1, 2019
We’re really proud of the improvements we’ve brought to the video experience, but the focus on those makes it easy to overlook the importance of sound , and sound is every bit as important to entertainment as video. We want your experience to be brilliant even if you aren’t listening with a state-of-the-art home theater system.
The Morning Paper
NOVEMBER 10, 2019
Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. You need a lot of software engineers and the willingness to rewrite a lot of software to entertain that idea. SOSP’19. Enter Google!
O'Reilly
NOVEMBER 19, 2024
The haphazard results may be entertaining, although not quite based in fact. The various flavors of RAG borrow from recommender systems practices, such as the use of vector databases and embeddings. One more embellishment is to use a graph neural network (GNN) trained on the documents. Does GraphRAG improve results?
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