Scalability Storage Tuning Video 
The Netflix TechBlog
OCTOBER 19, 2020
Investigating a video streaming failure consists of inspecting all aspects of a member account. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. The next challenge was to stream large amounts of traces via a scalable data processing platform.
The Netflix TechBlog
NOVEMBER 6, 2023
We have built an internal system that allows someone to perform in-video search across the entire Netflix video catalog, and we’d like to share our experience in building this system. Building in-video search To build such a visual search engine, we needed a machine learning system that can understand visual elements.
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The Netflix TechBlog
NOVEMBER 2, 2021
Moorthy and Zhi Li Introduction Measuring video quality at scale is an essential component of the Netflix streaming pipeline. Perceptual quality measurements are used to drive video encoding optimizations , perform video codec comparisons , carry out A/B testing and optimize streaming QoE decisions to mention a few.
Brendan Gregg
APRIL 30, 2018
LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. To learn more about how LISA has evolved, browse last year's LISA17 conference program , and see the slides and talk videos.
Brendan Gregg
APRIL 29, 2018
LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. To learn more about how LISA has evolved, browse last year's LISA17 conference program , and see the slides and talk videos.
The Netflix TechBlog
MARCH 14, 2023
An example of using Machine Learning to find shots of Eleven in Stranger Things and surfacing the results in studio application for the consumption of Netflix video editors. We must quickly surface the most stand-out highlights from the titles available on our service in the form of images and videos in the member experience.
The Netflix TechBlog
OCTOBER 27, 2020
Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. As the paved path for moving data to key-value stores, Bulldozer provides a scalable and efficient no-code solution.
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