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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Wednesday?—?December

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Wednesday?—?December

AWS 100
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. However, cloud complexity has made software delivery challenging.

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OTel contributor Q&A: Dynatrace works to ensure enterprise readiness for OpenTelemetry

Dynatrace

We sat together with Armin Ruech and Daniel Dyla, software engineers at Dynatrace and leaders within the OpenTelemetry community, to hear about their involvement with the second most active CNCF project. My name is Armin Ruech, I’m a Software Engineer at Dynatrace and I started as a software developer around 3.5

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. In 2019, Netflix moved thousands of container hosts to bare metal.

AWS 37
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Open-Sourcing a Monitoring GUI for Metaflow

The Netflix TechBlog

[link] Metaflow is a full-stack framework for data science that we started developing at Netflix over four years ago and which we open-sourced in 2019. It allows data scientists to define ML workflows, test them locally, scale-out to the cloud, and deploy to production in idiomatic Python code.

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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

We suspect this points to a general drift toward software teams taking more responsibility for infrastructure, and increasingly, enabled by serverless options. As noted earlier, the majority of survey respondents are software engineers. Industries of survey respondents. Organization size of survey respondents.