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Scaling Appsec at Netflix (Part 2)

The Netflix TechBlog

The team is now investing in consistency and scalability of partnership artifacts and communication channels, better redundancy and context sharing on the team through squad operating models, crisper engagement criteria , and definition of done for partnership engagements. We are now expanding this approach to more parts of our ecosystem.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

We want users to rely on shared templates and reuse their workflow definitions across their team, saving time and effort on creating the same functionality. It is a general-purpose workflow orchestrator that provides a fully managed workflow-as-a-service (WAAS) to the data platform at Netflix.

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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham. Curious to learn about what it’s like to be a Data Engineer at Netflix?

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can