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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

By Guru Tahasildar , Amir Ziai , Jonathan Solórzano-Hamilton , Kelli Griggs , Vi Iyengar Introduction Netflix leverages machine learning to create the best media for our members. Media Search Platform (MSP) is the initiative to address these requirements. Media Search Platform (MSP) is the initiative to address these requirements.

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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

Our goal in building a media-focused ML infrastructure is to reduce the time from ideation to productization for our media ML practitioners. We accomplish this by paving the path to: Accessing and processing media data (e.g. We accomplish this by paving the path to: Accessing and processing media data (e.g.

Media 290
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MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. What problem are we solving? Assemble and decrypt parts? —?Our

Media 214
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Production Media Management: Transforming Media Workflows by leveraging the Cloud

The Netflix TechBlog

In this post, we will share a behind-the-scenes look at how Netflix delivers technology and infrastructure to help production crews create and exchange media during production and post production stages. Lights, Camera, Media! Now that we understand what media workflows are, let’s take a look at some of the workflows we’ve enabled.

Media 174
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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. AI requires more compute and storage. Growing AI adoption has ushered in a new reality. AI performs frequent data transfers.

Strategy 227
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Netflix Video Quality at Scale with Cosmos Microservices

The Netflix TechBlog

As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. We call this system Cosmos.

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