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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.

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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 expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

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Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

By Meenakshi Jindal Overview At Netflix, we built the asset management platform (AMP) as a centralized service to organize, store and discover the digital media assets created during the movie production. Existing data got updated to be backward compatible without impacting the existing running production traffic.

Media 237
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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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Achieving observability in async workflows

The Netflix TechBlog

Prodicle Distribution Our service is required to be elastic and handle bursty traffic. We are expected to process 1,000 watermarks for a single distribution in a minute, with non-linear latency growth as the number of watermarks increases. Things got hairy. We wanted a scalable service that was near real-time, 2.

Traffic 160
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Dynamic Content Vs. Static Content: What Are the Main Differences

IO River

Static content represents fixed web elements like HTML, CSS, JavaScript files, images, and media assets. It is particularly beneficial during high-traffic periods or when serving content to a large audience.All of these benefits apply to modern applications that process user thumbnails. What is Static Content?Static

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