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Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

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Chaos Engineering With Litmus: A CNCF Incubating Project

DZone

The problems with degraded service availability along with revenue impact occur mainly because of Kubernetes pod crashes along with resource exhaustion and network disruptions that hit during peak shopping seasons.

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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. Without having network visibility, it’s difficult to improve our reliability, security and capacity posture.

Network 327
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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

Recently, we added another powerful tool to our arsenal: neural networks for video downscaling. In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. How can neural networks fit into Netflix video encoding?

Network 300
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How Kubernetes Changed the Networking Model and What Developers Should Know about eBPF and Cilium

DZone

Enterprise networking is a radically different discipline in today’s microservices, containers, and Kubernetes paradigm than what it used to be in the old three-tier architecture world. Q: How Did Kubernetes Change the Networking Model? A: In many ways, Kubernetes networking is similar to our traditional networking.

Network 302
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Measuring Network Performance in Mobile Safari

CSS Wizardry

Google has a pretty tight grip on the tech industry: it makes by far the most popular browser with the best DevTools, and the most popular search engine, which means that web developers spend most of their time in Chrome, most of their visitors are in Chrome, and a lot of their search traffic will be coming from Google. somewhere sensible.

Network 286
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JMeter Netconf Plug-in and Network Service Automation

DZone

JMeter Netconf Plug-in and Network Service Automation. Network service automation-related requirements are usually realized by means of commercial or open-source network orchestrator or controller software system. JMeter Netconf plug-in implementation includes two modules.

Network 246