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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100
article thumbnail

Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 37
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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

For instance, if you are fast-growing VC funded e-commerce startup and your number one business priority is multiplying current growth and performing exceptionally well on key financial metrics charted out by your investors. Thirdly, let engineers themselves choose the delivery teams and organise them around the initiative.