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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Since then, the video pipeline has undergone substantial improvements and broad expansions: Starting with Standard Dynamic Range (SDR) at Standard-Definitions , we expanded the encoding pipeline to 4K and High Dynamic Range (HDR) which enabled support for our premium offering. divide the input video into small chunks 2.

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Scalable Annotation Service?—?Marken

The Netflix TechBlog

Annotations Sometimes people describe annotations as tags but that is a limited definition. The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency. Marken architecture Above picture represents the block diagram of the architecture for our service.

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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. This type of traffic originates directly from the server, making it more challenging to handle due to latency and server load considerations; it’s hard but not impossible.Â

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Optimizing Video Streaming CDN Architecture for Cost Reduction and Enhanced Streaming Performance

IO River

Now, with viewers all over the world expecting flawless and high-definition streaming, video providers have their work cut out for them. This type of traffic originates directly from the server, making it more challenging to handle due to latency and server load considerations; it’s hard but not impossible.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This data lands in its original, raw form without requiring schema definition.

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Automated observability, security, and reliability at scale

Dynatrace

This is especially crucial in microservice architectures, where the number of components can be overwhelming. In summary, Configuration as Code enables the automatic execution of validations for a full set of configuration objectives and workflow definitions. The screenshot below displays such a configuration.

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Data Movement in Netflix Studio via Data Mesh

The Netflix TechBlog

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. Most of the business views created on top of the Iceberg tables can tolerate a few minutes of latency.

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