The Netflix TechBlog
NOVEMBER 22, 2019
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 Thursday?—?December
The Netflix TechBlog
NOVEMBER 22, 2019
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 Thursday?—?December
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Dynatrace
MAY 31, 2023
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.
O'Reilly
NOVEMBER 12, 2019
More than a fifth of the respondents work in the software industry—skewing results toward the concerns of software companies, and helping explain the preponderance of those with software engineering roles. As noted earlier, the majority of survey respondents are software engineers. 1 in tools used.
The Netflix TechBlog
NOVEMBER 22, 2019
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.
Dynatrace
NOVEMBER 17, 2020
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
The Netflix TechBlog
OCTOBER 27, 2021
[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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