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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. This architecture shift greatly reduced the processing latency and increased system resiliency. It served as the foundation for numerous encoding innovations developed by our team.

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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

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.

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Netflix Video Quality at Scale with Cosmos Microservices

The Netflix TechBlog

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.

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The Next Step in Personalization: Dynamic Sizzles

The Netflix TechBlog

A sizzle reel is a montage of video clips from different titles strung together into a seamless A/V asset that gets members excited about upcoming launches (for example, our Emmys nominations or holiday collections). An example of a title’s video clips layout.

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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

In addition, we provide a unified library that enables ML practitioners to seamlessly access video, audio, image, and various text-based assets. This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns.

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation. What is generative AI? Cloud application security is crucial to every organization.

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Why business digital transformation is still a key C-level priority today

Dynatrace

While generative AI has received much of the attention since 2022 for enabling innovation and efficiency, various forms of AI—generative, causal **, and predictive AI —will work together to automate processes, introduce innovation, and other activities in service of digital transformation.

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