The Netflix TechBlog
SEPTEMBER 22, 2021
Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , and Colin McFarland This is the second post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. An A/B test is a simple controlled experiment. Figure 2: A simple A/B test. Let’s say?—?this
Dynatrace
OCTOBER 28, 2021
Testing for mishaps you can predict is essential. Chaos engineering is a method of testing distributed software that deliberately introduces failure and faulty scenarios to verify its resilience in the face of random disruptions. Practitioners subject software to a controlled, simulated crisis to test for unstable behavior.
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The Netflix TechBlog
MAY 1, 2019
We’re really proud of the improvements we’ve brought to the video experience, but the focus on those makes it easy to overlook the importance of sound , and sound is every bit as important to entertainment as video. Creative choices increasingly tested the limits of our encoding quality. We needed to support these choices better.
All Things Distributed
NOVEMBER 13, 2018
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. By moving to AWS, Lamborghini was able to prepare the development and test environment in a couple of days.
Testsigma
FEBRUARY 18, 2020
Deep learning: employs artificial neural networks that keep learning constantly by processing both negative and positive data. Artificial neural networks are made to mimic the human brain. The machine uses multiple artificial neural network layers to determine and output from many inputs provided.
Apica
OCTOBER 24, 2019
The thing with a television network having a hit TV show is that everyone wants to watch it. As the final seasons of the program approached, the network made a decision to bring streaming capabilities into the company and develop its own comprehensive streaming platform. >>Download the Case Study Now!
The Netflix TechBlog
SEPTEMBER 7, 2021
Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , and Colin McFarland This introduction is the first in a multi-part series on how Netflix uses A/B tests to make decisions that continuously improve our products, so we can deliver more joy and satisfaction to our members. Are videos better than static images?
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