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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions.

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What is chaos engineering?

Dynatrace

Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions. What is chaos engineering? Chaos engineers ask why. As chaos engineers grow confident in their testing, they change more variables and broaden the scope of the disaster.

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

The Netflix TechBlog

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. All these micro-services are currently operated in AWS cloud infrastructure.

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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. What is Prometheus?

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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. In my previous blog post, Path to NoOps part 1: How modern AIOps brings NoOps within reach, I explored the aspirations of NoOps and how modern AIOps makes it possible. Infrastructure-as-code. But how does it work in practice?