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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. Wednesday?—?December This session looks at what it takes to accept, produce, encode, and stream your favorite content.

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. Wednesday?—?December This session looks at what it takes to accept, produce, encode, and stream your favorite content.

AWS 100
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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

I asked around and heard that they are still working on it, but the AWS hiring freeze means that they don’t have the headcount they expected and are making slow progress on an API, more detailed metrics, and scope 3, which everyone is waiting for. Portfolio is currently reducing Amazons carbon footprint by 19 Million Metric Tons of CO2e.

AWS 64
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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. This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security.

AWS 37
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Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. It is highly efficient with a low cost.

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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

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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?