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

Percona Community

OCTOBER 3, 2018

For Percona Live Europe, I’ll be presenting the tutorial Elasticsearch 101 alongside my colleagues and fellow presenters from ObjectRocket Alex Cercel, DBA, and Mihai Aldoiu, Data Engineer. Here’s a brief overview of our tutorial.

Data Engineering 52

Data Engineering Scalability Engineering 52

Adrian Cockcroft

FEBRUARY 13, 2023

COM201 Being ethical in tech: Sustainability tips for work and life — no video, but here is a video of Aerin Booth presenting an earlier version of the talk. Good example, well presented interesting new material. Engaging presentation on an important topic, with some good advice on optimizing ML workloads.

AWS 64

AWS Energy Architecture Programming 64

The Agile Manager

JULY 31, 2022

There are shadow IT teams of developers or data engineers that spring up in areas like operations or marketing because the captive IT function is slow, if not outright incapable, of responding to internal customer demand. IT shadows appear in a lot of different forms. The scope taken out of the 1.0

Programming 59

Programming Engineering Data Engineering Innovation 59

The Netflix TechBlog

NOVEMBER 22, 2019

Our data scientists are expected to develop and operate large machine learning workflows autonomously without the need to be deeply experienced with systems or data engineering. In this session, we present our human-centric design principles that enable the autonomy our engineers enjoy.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Our data scientists are expected to develop and operate large machine learning workflows autonomously without the need to be deeply experienced with systems or data engineering. In this session, we present our human-centric design principles that enable the autonomy our engineers enjoy.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Symphonia

JUNE 19, 2018

I was fortunate to be both presenting a 2-day workshop (on AWS Serverless Architectures and Continuous Deployment) as well as hosting a full-day Serverless track of talks. This track was a good state-of-the-union type affair, so I thought I’d share what was presented. I led off with a talk titled “ Crossing the Serverless Fireswamp ”.

Serverless 40

Serverless AWS DevOps Open Source 40

The Netflix TechBlog

DECEMBER 3, 2022

Even better, Dataflow offers executable best practices, which present these concepts in the context of an actual use case. This pipeline is safe to run the moment it shows up in your directory. Instead of reading documentation, you can initialize a “real” project, change it as needed, and iterate from there.

Best Practices 358

Best Practices Code Testing Data Engineering 358

The Netflix TechBlog

NOVEMBER 22, 2019

Our data scientists are expected to develop and operate large machine learning workflows autonomously without the need to be deeply experienced with systems or data engineering. In this session, we present our human-centric design principles that enable the autonomy our engineers enjoy.

AWS 37

AWS Entertainment Open Source Benchmarking 37

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.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

OCTOBER 30, 2020

We started out with a small working group where we brainstormed the key questions to address, what data we could use to answer said questions, and came up with a work plan for how the analysis might take shape. Then I put on my headphones and got to work, writing SQL and using Tableau to present the data in a useful way.

Analytics 136

Analytics Engineering Innovation Metrics 136

Testsigma

NOVEMBER 28, 2019

This article presents a list of some of the best available online Automation Testing courses and certifications you can consider. Udacity Udacity provides nanodegree programs on all automation languages like C++, Machine Learning, Data engineer, Robotics and more.

Website 53

Website Testing Programming Automotive 53

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. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21

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