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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

The Netflix TechBlog

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Latency 212
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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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The Netflix Cosmos Platform

The Netflix TechBlog

Orchestrated Functions as a Microservice by Frank San Miguel on behalf of the Cosmos team Introduction Cosmos is a computing platform that combines the best aspects of microservices with asynchronous workflows and serverless functions. Our response was to create Cosmos, a platform for workflow-driven, media-centric microservices.

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How We Optimized Performance To Serve A Global Audience

Smashing Magazine

You need to watch out for complex design elements, large media files, or slow browser rendering can delay the time it takes for the largest contentful element to render. This proximity significantly reduces the time it takes for the data to travel from the server to the user, thus reducing latency and improving load times.

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Netflix Video Quality at Scale with Cosmos Microservices

The Netflix TechBlog

This system is responsible for processing incoming media files, such as video, audio and subtitles, and making them playable on the streaming service. Cosmos is a computing platform for workflow-driven, media-centric microservices. This enables us to use our scale to increase throughput and reduce latencies.

Media 171
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Jamstack CMS: The Past, The Present and The Future

Smashing Magazine

Hosted repositories also have an upper limit of ~2GB, so you may need to use a 3rd party service for media if you have many assets. Netlify , Vercel , CloudFlare , and AWS all have the concept of serverless functions run at edge nodes of a CDN. Updating a blog post with the visual editor in CloudCannon. Large preview ).

Ecommerce 140
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Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Secondly, having a CDN in front of origin (static site or APIs) reduces the global and regional latency.

Systems 63