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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

This architecture shift greatly reduced the processing latency and increased system resiliency. We rolled out encoding innovations such as per-title and per-shot optimizations, which provided significant quality-of-experience (QoE) improvement to Netflix members. This introductory blog focuses on an overview of our journey.

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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? Mount ranges of objects? — ?

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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

On a CPU, we leveraged oneDnn to further reduce latency. Integrating neural networks into our next-generation encoding platform The Encoding Technologies and Media Cloud Engineering teams at Netflix have jointly innovated to bring Cosmos , our next-generation encoding platform, to life.

Network 292
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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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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.

Media 171
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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. Growing AI adoption has ushered in a new reality. Use containerization.

Strategy 227
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Ciao Milano! – An AWS Region is coming to Italy!

All Things Distributed

We needed to serve our growing base of startup, government, and enterprise customers across many vertical industries, including automotive, financial services, media and entertainment, high technology, education, and energy. Seat Pagine Gialle Italia is an Italian media company most famous for producing the Yellow and White Pages directories.

AWS 167