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Data Engineers of Netflix?—?Interview with Dhevi Rajendran

Netflix Tech

Data Engineers of Netflix?—?Interview Interview with Dhevi Rajendran Dhevi Rajendran This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.

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Data Engineers of Netflix?—?Interview with Samuel Setegne

Netflix Tech

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?

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Article: InfoQ Software Trends Report: Major Trends in 2022 and What to Watch for in 2023

InfoQ Culture Methods

2022 was another year of significant technological innovations and trends in the software industry and communities. This article is a summary of the 2022 software trends podcast. The InfoQ podcast co-hosts met last month to discuss the major trends from 2022, and what to watch in 2023.

Trends 104
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Article: Moving towards a Future of Testing in the Metaverse

InfoQ Culture Methods

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges. By Tariq King

Testing 121
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Article: Getting Rid of Wastes and Impediments in Software Development Using Data Science

InfoQ Culture Methods

This article presents how to use data science to detect wastes and impediments, and concepts and related information that help teams to figure out the root cause of impediments they struggle to get rid of.

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Article: Using Machine Learning for Fast Test Feedback to Developers and Test Suite Optimization

InfoQ Culture Methods

Software testing, especially in large scale projects, is a time intensive process. Test suites may be computationally expensive, compete with each other for available hardware, or simply be so large as to cause considerable delay until their results are available.

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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

Netflix Tech

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. Can we develop learning models to enrich metadata with application vulnerabilities and risk scores?