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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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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Notebooks] is purposely built to focus on data analytics,” Zahrer said. “We

Analytics 220
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Evolution of Netflix Conductor:

The Netflix TechBlog

The Netflix Media Database (NMDB) is one such example. We need to enhance the grpc modules to leverage the bidirectional channel to push tasks to workers as and when they are scheduled, thus reducing network traffic, load on the server and redundant client calls.

Lambda 189
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Fostering a Web Performance Culture

Jos

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye. How would you architecture a non-trivial size web project (client, server, databases, caching layer)?

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The Importance of Selecting the Proper Azure VM Size

SQL Performance

The various types are: General purpose – Balanced CPU-to-memory ratio, small to medium databases. Compute optimized – High CPU-to-memory ration, medium traffic web servers and application servers. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics.

Azure 76
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Fostering a Web Performance Culture

Jos

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye. How would you architecture a non-trivial size web project (client, server, databases, caching layer)?

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

When Reloaded was designed, we focused on a single use case: converting high-quality media files (also known as mezzanines) received from studios into compressed assets for Netflix streaming. To achieve this, Cosmos was developed as a computing platform for workflow-driven, media-centric microservices. 264, AV1, etc.).