The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. What is late-arriving data?

Data Engineering 264

Data Engineering Engineering Processing Games 264

The Netflix TechBlog

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Give us a holler if you are interested in a thought exchange.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

The Netflix TechBlog

DECEMBER 21, 2020

This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture. Some of the optimizations are prerequisites for a high-performance data warehouse. AutoOptimize reduces end to end lag in data processing by optimizing as we go.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

JANUARY 11, 2022

To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham. Curious to learn about what it’s like to be a Data Engineer at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243

The Symphonia

JUNE 19, 2018

This summer also marks the 4-yearly event that is La Copa Mundial (we only get Telemundo in my apartment, not Fox Sports Network) but since the good old US of A are absent from the men’s World Cup this year, football fever is distinctly frigid. This track was a good state-of-the-union type affair, so I thought I’d share what was presented.

Serverless 40

Serverless AWS DevOps Open Source 40

O'Reilly

MARCH 2, 2020

Large teams present their own problems, but it’s ironic to see writers scorning the “two pizza group” concept because it can’t possibly work for large organizations. Radar data points: Recent research and analysis. Software architecture, infrastructure, and operations are each changing rapidly.

Artificial Intelligence 20

Artificial Intelligence Software Architecture Programming Infrastructure 20