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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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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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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. They could need a GPU when doing graphics-intensive work or extra large storage to handle file management. Artists need many components to be customized.

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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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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale. To handle errors efficiently, Netflix developed a rule-based classifier for error classification called “Pensive.”

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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Behind these perfect moments of entertainment is a complex mechanism, with numerous gears and cogs working in harmony. Evaluation of migration completeness: To verify the completeness of the records, cold storage services are used to take periodic data dumps from the two data stores and compared for completeness.

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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. Technology advancements in content creation and consumption have also increased its data footprint. Wednesday?—?December

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