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Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

We kick off with a few topics focused on how were empowering Netflix to efficiently produce and effectively deliver high quality, actionable analytic insights across the company. At Netflix, we seek to entertain the world by ensuring our members find the shows and movies that will thrill them. dashboarding, analysis, research, etc.).

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Part 2: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

Content CashModeling Alex Diamond At Netflix we produce a variety of entertainment: movies, series, documentaries, stand-up specials, and more. Leveraging technologies like Assistive Speech Recognition (ASR), we seek to make the transcription part of the process more efficient for our linguists.

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Title Launch Observability at Netflix Scale

The Netflix TechBlog

The Insight TriadAPI To efficiently understand the health of a title and triage issues quickly, all implementations of the observability endpoint must answer: is the title eligible for this phase of promotion, if notwhy is it not eligible, and what can be done to fix any problems. The request schema for the observability endpoint.

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Foundation Model for Personalized Recommendation

The Netflix TechBlog

These insights have shaped the design of our foundation model, enabling a transition from maintaining numerous small, specialized models to building a scalable, efficient system. At inference time, when multi-step decoding is needed, we can deploy KV caching to efficiently reuse past computations and maintain lowlatency.

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Netflix Studio Engineering Overview

The Netflix TechBlog

In an effort to effectively and efficiently produce this content we are looking to improve and automate many areas of the production process. We combine our entertainment knowledge and our technical expertise to provide innovative technical solutions from the initial pitch of an idea to the moment our members hit play.

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Remote Workstations for the Discerning Artists

The Netflix TechBlog

Artists like to work at places where they can create groundbreaking entertainment instead of worrying about getting access to the software or source files they need. Where we can gather and analyze the usage data to create efficiencies and automation. To meet that demand, we need to attract the world’s best artistic talent.

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security. Wednesday?—?December

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