The Netflix TechBlog

SEPTEMBER 22, 2021

Subsequent posts will go into more details on the statistics of A/B tests, experimentation across Netflix, how Netflix has invested in infrastructure to support and scale experimentation, and the importance of the culture of experimentation within Netflix. See here for Part 1: Decision Making at Netflix. Let’s say?—?this

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Testing Entertainment Social Media Metrics 245

The Netflix TechBlog

MARCH 21, 2019

by Astha Singhal (Netflix Application Security) As Netflix continues to create entertainment people love, the security team continues to keep our members, partners, and employees secure. The system had significant issues that we were grateful to hear about so we could retire the system.

Entertainment 166

Entertainment Programming Internet Internet 166

All Things Distributed

NOVEMBER 13, 2018

Currently we have 57 Availability Zones across 19 technology infrastructure Regions. We needed to serve our growing base of startup, government, and enterprise customers across many vertical industries, including automotive, financial services, media and entertainment, high technology, education, and energy.

AWS 167

AWS Energy Automotive Traffic 167

All Things Distributed

JUNE 20, 2017

It's an entertainment website where users can post content or "memes" that they find amusing and share them across social media networks. They chose to use AWS in order to focus on developing their platform, instead of managing infrastructure.

AWS 149

AWS Logistics Cloud Social Media 149

Adrian Cockcroft

JUNE 2, 2023

There was a good talk on How to Build Responsible Systems While Leveraging Generative AI Capabilities by Sriram Subramanian of Microsoft, and I had several interesting conversations with him. Rob Hirschfeld of RackN had this perspective on the impact of AI on his domain of infrastructure automation. Tristan Zajonc, CEO of Continual.ai

Social Media 98

Social Media Innovation Open Source Entertainment 98

The Netflix TechBlog

SEPTEMBER 4, 2020

Scaling HDMI Testing Here are some of the challenges associated with HDMI testing on STBs: The need to physically obtain and replicate different home entertainment setups of TVs and Home Theater Systems (HDMI topologies). Time spent in manually changing these topologies between and during different tests.

Media 163

Media Testing Entertainment Virtualization 163

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking.

AWS 37

AWS Entertainment Open Source Benchmarking 37

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” This ultimately results in more compelling entertainment for Netflix members.

Cloud 282

Cloud Entertainment AWS Infrastructure 282

J. Paul Reed

FEBRUARY 27, 2019

Challenging this idea, and suggesting that in complex systems, this linearity is soothingly deceptive?—?but In fact, non-determinism itself is considered a bug: if the unexpected or errant output isn’t reproducible, then developers tend to extend their investigation into other parts of the stack (operating system, network, etc.)

Entertainment 40

Entertainment Operating System Engineering Hardware 40

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Not just for HPC but for mission critical enterprise systems such as OLTP. Other industries using Amazon EC2 for HPC-style workloads include pharmaceuticals, oil exploration, industrial and automotive design, media and entertainment, and more. Comments ().

Cloud 119

Cloud AWS Automotive Latency 119

Alex Russell

APRIL 29, 2021

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Consistent improvement is the name of the game, and it can still have positive impacts, particularly as users lean on the system more heavily over time. position: sticky. CSS color().

Media 145

Media Games Education Engineering 145

The Netflix TechBlog

MARCH 8, 2021

Artists like to work at places where they can create groundbreaking entertainment instead of worrying about getting access to the software or source files they need. To meet this need, the Studio Infrastructure team has created Netflix Workstations. We needed a system that could manage hundreds to one-day thousands of workstations.

Entertainment 306

Entertainment Storage Hardware Open Source 306

Apica

MARCH 31, 2022

an Information Systems Engineer III at a financial services firm with over 1,000 employees, explained, “We started with SolarWinds, and after that, we moved to Apica. The dashboard view tells you the health of the services that we have monitored, and how the health of the entire infrastructure is doing at a glance. As Joseph F.,

Monitoring 40

Monitoring Website Games Engineering 40

Apica

OCTOBER 24, 2019

The ability to validate infrastructure scaling and systems resilience is a key result of using Apica’s test platform. Apica’s load test platform evaluated the site’s performance before release with 10+ million viewers starting streaming in same second.

Scalability 40

Scalability Games Programming Network 40

The Netflix TechBlog

FEBRUARY 9, 2021

In particular, it’s our job to design and build the systems and protocols that enable customers from all over the world to sign up for Netflix with the plan features and incentives that best suit their needs. Let’s take a deeper look at the architecture, protocols, and systems involved. The world is constantly changing.

Engineering 142

Engineering Scalability Architecture Innovation 142

The Netflix TechBlog

FEBRUARY 25, 2021

Rapid Development with GraphQL Microservices by Dane Avilla The entertainment industry has struggled with COVID-19 restrictions impacting productions around the globe. Legitimate concerns about security (how does this integrate with our IAM infrastructure to enforce row-level access controls within the database?)

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Database Entertainment Infrastructure Architecture 201

The Netflix TechBlog

AUGUST 13, 2020

Our streaming teams need a monitoring system that enables them to quickly diagnose and remediate problems; seconds count! Our Node team needs a system that empowers a small group to operate a large fleet. Infrastructure change events. A healthy Netflix service enables us to entertain the world. So we built Telltale.

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Monitoring Tuning Traffic Metrics 210

O'Reilly

JUNE 15, 2021

We need a new paradigm for the future of technical infrastructure for our homes and offices. Our home infrastructure was originally communal. This evolved into full login systems with passwords, password reset, two factor authentication, biometric authentication, and more. The Wrong Model. Communal began at home.

IoT 90

IoT Transportation Entertainment Infrastructure 90

The Netflix TechBlog

NOVEMBER 12, 2019

Over the years, we have built a recommendation system that uses many different machine learning algorithms to create these personalized recommendations. All of these algorithms and logic come together in our page generation system to produce a personalized homepage for each of our members, which we have outlined in a previous post.

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Metrics Government Systems Testing 124

The Netflix TechBlog

NOVEMBER 12, 2019

Over the years, we have built a recommendation system that uses many different machine learning algorithms to create these personalized recommendations. All of these algorithms and logic come together in our page generation system to produce a personalized homepage for each of our members, which we have outlined in a previous post.

Metrics 100

Metrics Government Systems Testing 100

The Netflix TechBlog

NOVEMBER 12, 2019

Over the years, we have built a recommendation system that uses many different machine learning algorithms to create these personalized recommendations. All of these algorithms and logic come together in our page generation system to produce a personalized homepage for each of our members, which we have outlined in a previous post.

Metrics 100

Metrics Government Systems Testing 100

The Netflix TechBlog

JANUARY 11, 2022

Growth Advertising At Netflix, we want to entertain the world ! Data Scientists play a vital role in building automated systems that leverage causal inference to decide how we spend our advertising budget. Creative excellence and continuous improvements to evidence selection systems are both crucial in achieving this goal.

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Innovation Metrics Engineering Testing 243

The Netflix TechBlog

JANUARY 25, 2022

And we own the data pipelines that power everything from executive-oriented dashboards to the personalization systems that help connect each Netflix member with content that will spark joy for them. As a company, we aim to be curious, and to truly and honestly understand our members around the world, and how we can better entertain them.

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Education Innovation Testing Programming 238