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

Dynatrace

With these release candidate APIs available, instrumentation for web frameworks, storage clients, and much more can be built. 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.

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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In this session, we present our human-centric design principles that enable the autonomy our engineers enjoy.

AWS 100
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In this session, we present our human-centric design principles that enable the autonomy our engineers enjoy.

AWS 100
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Local-first software: you own your data, in spite of the cloud

The Morning Paper

Local-first software: you own your data, in spite of the cloud Kleppmann et al., If you start reading this paper you could be lost for hours following all the interesting links and ideas, and end up even more dissatisfied than you already are with the state of software today. Local-first software ideals. It should be fast.

Cloud 83
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. In this session, we present our human-centric design principles that enable the autonomy our engineers enjoy.

AWS 37
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USENIX LISA 2018: CFP Now Open

Brendan Gregg

LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. To learn more about how LISA has evolved, browse last year's LISA17 conference program , and see the slides and talk videos.

DevOps 43
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Futzing and moseying: interviews with professional data analysts on exploration practices

The Morning Paper

About half (18) used programming as their primary means of exploring data, and the remainder used visual analytics tools or a mix of tools and programming. Software engineering for machine learning ’), is the lack of documentation, metadata, and provenance. EDA in practice: motivations.