タグ「Netflix TechBlog」

タグ Netflix TechBlog

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(1 - 16 / 16件)

Data Movement in Netflix Studio via Data Mesh | by Netflix Technology Blog | Jul, 2021 | Netflix TechBlog

2021/07/31 20 users Jul

By Andrew Nguonly, Armando Magalhães, Obi-Ike Nwoke, Shervin Afshar, Sreyashi Das, Tongliang Liu, Wei Liu, Yucheng Zeng BackgroundOver the next few years, most content on Netflix will come from Netflix’s own Studio. From the moment a Netflix film or series is pitched and long before it becomes av... 続きを読む

How Netflix uses eBPF flow logs at scale for network insight | by Netflix Technology Blog | Jun, 2021 | Netflix TechBlog

2021/06/07 12 users Insight eBPF jun

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. At much less than 1% of CPU and memory on the instance, this highly ... 続きを読む

ConsoleMe: A Central Control Plane for AWS Permissions and Access | Netflix Tech Blog | Netflix TechBlog

2021/03/10 19 users Invent 2020

ConsoleMe: A Central Control Plane for AWS Permissions and Access By Curtis Castrapel, Patrick Sanders, and Hee Won Kim At AWS re:Invent 2020, we open sourced two new tools for managing multi-account AWS permissions and access. We’re very excited to bring you ConsoleMe (pronounced: kuhn-soul-mee)... 続きを読む

DBLog: A Generic Change-Data-Capture Framework - Netflix TechBlog - Medium

2019/12/17 17 users medium

Andreas Andreakis, Ioannis Papapanagiotou OverviewChange-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous ... 続きを読む

Python at Netflix – Netflix TechBlog – Medium

2019/04/29 335 users medium

By Pythonistas at Netflix, coordinated by Amjith Ramanujam and edited by Ellen Livengood As many of us prepare to go to PyCon, we wanted to share a sampling of how Python is used at Netflix. We use Python through the full content lifecycle, from deciding which content to fund all the way to opera... 続きを読む

Our learnings from adopting GraphQL – Netflix TechBlog – Medium

2018/12/10 24 users GraphQL medium

Our learnings from adopting GraphQLA Marketing Tech Campaign by Artem Shtatnov and Ravi Srinivas Ranganathan In an earlier blog post, we provided a high-level overview of some of the applications in the Marketing Technology team that we build to enable scale and intelligence in driving our global... 続きを読む

Quasi Experimentation at Netflix – Netflix TechBlog – Medium

2018/10/02 21 users medium

Learn more about how Netflix designs, builds, and operates our systems and engineering organizations Quasi Experimentation at NetflixColin McFarland, Michael Pow, Jeremy Glick Experimentation informs much of our decision making at Netflix. We design, analyze, and execute experiments with rigor so... 続きを読む

Auto Scaling Production Services on Titus – Netflix TechBlog – Medium

2018/07/09 22 users medium

Learn more about how Netflix designs, builds, and operates our systems and engineering organizations Auto Scaling Production Services on TitusBy Andrew Leung, Amit Joshi, and the rest of the Titus team. Over the past three years, Netflix has been investing in container technology. A large part of... 続きを読む

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