The Netflix TechBlog

MARCH 2, 2021

Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. We worked in different industries before joining Netflix, including tech, entertainment, retail, science policy, and research. Roxy Du (Product Innovation) [Roxy D.]

Analytics 216

Analytics C++ Innovation Engineering 216

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 125

AWS Logistics Cloud Social Media 125

The Netflix TechBlog

FEBRUARY 9, 2021

We need to be constantly adapting and innovating as a result of this change. This centralization of eligibility logic in the SKU Eligibility Service also enables innovation in different parts of the product that have traditionally been ignored. A SKU Platform that enables product innovation with minimal engineering involvement.

Engineering 145

Engineering Scalability Architecture Innovation 145

Adrian Cockcroft

JUNE 2, 2023

My talk was on Innovation and Tipping Points, the first half was based on some content I’ve given before on how to get out of the way of innovation by speeding up time to value or idea to implementation. You need to be able to innovate fast enough to pivot or reinvent your business model and leverage the change.

Social Media 95

Social Media Innovation Open Source Entertainment 95

The Netflix TechBlog

NOVEMBER 12, 2019

While a diverse set of algorithms working together can produce a great outcome, innovating on such a complex system can be difficult. In the first approach, we use data from time-travel infrastructure built at Netflix to compute pages as they would have been at some point in the past.

Metrics 125

Metrics Testing Government Systems 125

The Netflix TechBlog

NOVEMBER 12, 2019

While a diverse set of algorithms working together can produce a great outcome, innovating on such a complex system can be difficult. In the first approach, we use data from time-travel infrastructure built at Netflix to compute pages as they would have been at some point in the past.

Metrics 100

Metrics Testing Government Systems 100

The Netflix TechBlog

NOVEMBER 12, 2019

While a diverse set of algorithms working together can produce a great outcome, innovating on such a complex system can be difficult. In the first approach, we use data from time-travel infrastructure built at Netflix to compute pages as they would have been at some point in the past.

Metrics 100

Metrics Testing Government Systems 100

Tasktop

NOVEMBER 7, 2019

When you find new ways to measure, you find new ways to innovate. Ranga Muvavarirwa—VP, Entertainment Technology, Comcast, and Jessica Sant, Senior Manager, Engineering, Comcast Interactive Media—were on hand to shatter that perception, providing insights into the earlier days of the company’s transformation.

DevOps 8

DevOps Automotive Media Metrics 8

Dynatrace

OCTOBER 28, 2021

The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. Accelerates innovation. The history of chaos engineering. Blast radius.

Engineering 264

Engineering Entertainment Cloud Infrastructure 264

The Netflix TechBlog

JANUARY 11, 2022

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. Growth Advertising At Netflix, we want to entertain the world ! Curious to learn more?

Innovation 245

Innovation Metrics Engineering Testing 245

The Netflix TechBlog

JANUARY 25, 2022

The secret sauce that turns the raw ingredients of experimentation into supercharged product innovation is culture. As discussed in Part 6 , there are experimentation and causal inference focussed data scientists who collaborate with product innovation teams across Netflix. But without a little magic, these basics are still not enough.

Education 245

Education Innovation Testing Programming 245

All Things Distributed

NOVEMBER 15, 2016

As I mentioned, we live in a world where massive volumes of data are being generated, every day, from connected devices, websites, mobile apps, and customer applications running on top of AWS infrastructure. Powered by Innovation. Put simply, data is not always readily available and accessible to organizational end users.

Analytics 123

Analytics Availability Media Social Media 123