Benchmarking Case Study Latency 
The Netflix TechBlog
NOVEMBER 22, 2019
In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.
The Netflix TechBlog
NOVEMBER 22, 2019
In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.
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The Netflix TechBlog
NOVEMBER 22, 2019
In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.
O'Reilly
MARCH 25, 2025
Evaluation : How do we evaluate such systems, especially when outputs are qualitative, subjective, or hard to benchmark? At its core, this case study demonstrates evaluation-driven development in action. Iteration : We know we need to experiment with and iterate on these system. How do we do so?
Speed Curve
FEBRUARY 5, 2024
Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Pagespeed Benchmarks - US Retail - LCP When you examine a waterfall, it's pretty obvious that TTFB is the long pole in the tent, pushing out render times for the page.
Speed Curve
MAY 1, 2023
According to the Chrome dev team : "INP is a metric that aims to represent a page's overall interaction latency by selecting one of the single longest interactions that occur when a user visits a page. INP logs the latency of all interactions throughout the entire page lifecycle. Let's get started! What is a performance budget?
Rigor
DECEMBER 19, 2019
For example, in a case study published by Gilt Groupe , Eric Shepherd, who was formerly Gilt’s principal front end engineer, noted that: Both RUM and synthetic monitoring give different views of our performance, and are useful for different things. Benchmark Against Competitors. AB Test the Performance Impact of Third Parties.
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