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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. We have also noted a great potential for further improvement by model tuning (see the section of Rollout in Production).

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Reinventing our Dynatrace Core Values

Dynatrace

“It was an iterative process allowing us to reflect on the past, present, and future of Dynatrace, discuss our findings, and explore the results received in the employee experience discovery.” Stay tuned. ” Dynatrace CEO, Rick McConnell Now, our refreshed Dynatrace Core Values are established.

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Tech Transforms podcast: The path forward for AI in the government

Dynatrace

During the university’s last Cyber Beacon conference , organizers presented both a human and an AI-generated abstract for panel sessions. Our conversation aimed to help listeners get a better sense of how agencies can responsibly integrate AI. Then, they let audience members guess which was which. “It That’s what we can offer to people.”

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Machine Learning for Fraud Detection in Streaming Services

The Netflix TechBlog

We present a systematic overview of the unexpected streaming behaviors together with a set of model-based and data-driven anomaly detection strategies to identify them. Data Featurization A complete list of features used in this work is presented in Table 1. The features mainly belong to two distinct classes.

C++ 312
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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. We help where we can. Many other Netflix staff spoke at re:Invent ( list here ).

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What is explainable AI? The key to closing the AI confidence gap

Dynatrace

More transparency means a better understanding of the technology being used, better troubleshooting, and more opportunities to fine-tune an organization’s tools. Decision trees and dashboards are two common visualization methods that present complex data in an easily readable format. The post What is explainable AI?

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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. We help where we can. Many other Netflix staff spoke at re:Invent ( list here ).

Tuning 52