AWS Cache Traffic Video 
The Netflix TechBlog
JUNE 14, 2023
The GraphQL shim enabled client engineers to move quickly onto GraphQL, figure out client-side concerns like cache normalization, experiment with different GraphQL clients, and investigate client performance without being blocked by server-side migrations. To launch Phase 1 safely, we used AB Testing.
The Netflix TechBlog
MARCH 10, 2023
By Burak Bacioglu , Meenakshi Jindal Asset Management at Netflix At Netflix, all of our digital media assets (images, videos, text, etc.) Most applications in content and studio engineering at Netflix deal with assets; such as videos, images, text, etc. are stored in secure storage layers.
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Smashing Magazine
AUGUST 3, 2023
It increases our visibility and enables us to draw a steady stream of organic (or “free”) traffic to our site. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. The higher our organic traffic, the more profitable we become as a company.
All Things Distributed
OCTOBER 2, 2017
As we began growing the AWS business, we realized that external customers might find our Dynamo database just as useful as we found it within Amazon.com. So, we set out to build a fully hosted AWS database service based upon the original Dynamo design.
Smashing Magazine
JUNE 25, 2020
Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. Static files range from a few kilobytes of CSS to gigabytes of video. Additionally, you will need to set up credential access to your AWS bucket. Media Files.
Smashing Magazine
JANUARY 11, 2021
Assets Optimizations Brotli, AVIF, WebP, responsive images, AV1, adaptive media loding, video compression, web fonts, Google fonts. CrUX generates an overview of performance distributions over time, with traffic collected from Google Chrome users. You can then mimic the 90th percentile’s experience for testing. Large preview ).
The Netflix TechBlog
OCTOBER 18, 2019
In particular, he talked about the misattribution potential in a complex microservice architecture where often intermediary results are cached. For example, a ranking team would ingest live user traffic and subject it to a number of ranking configurations and simulate the event outcomes using predictive models running on canary rankers.
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