As teams and applications experience growth, it’s critical to adopt architectures that optimize for clear code owners...
December 15, 2022
As teams and applications experience growth, it’s critical to adopt architectures that optimize for clear code owners...
December 15, 2022
The Twitter Cortex team has been focused on improving content understanding to extract new topics, promote healthy co...
November 10, 2021
Flame graphs have become an industry standard for CPU performance analysis. This visualization excels at showcasing t...
August 11, 2021
By Anupom Syam
In the previous post in our series on distributed training of sparse ML models, we described the techniques we use to...
September 23, 2020
In Part 1, on network bottleneck issues, we discussed the sparse models that are common at Twitter and the difficulti...
September 23, 2020
At Twitter, we use machine learning (ML) models in many applications, from ad selection, to abuse detection, to conte...
September 23, 2020
We shipped a small, unnoticed change to our iOS, Android and RWeb clients in January that had a great improvement fo...
May 9, 2019
Co-authors: Changji Shi and Adriel Fuad LinkedIn’s mission is to connect the world's professionals to make them more ...
March 1, 2018
Coauthors: Tao Feng, John Nicol, Chen Li, Peinan Chen, Hari Ramachandra LinkedIn has built hundreds of application se...
January 24, 2017
This is the second in a two-part series about how LinkedIn’s different business units use A/B testing and XLNT, our A...
October 28, 2015
This is the first in a two-part series about how LinkedIn’s different business units use A/B testing and XLNT, our A/...
October 27, 2015
Co-author: Cuong Tran Table of Contents Introduction Setting up the context Reproducing and understanding Linux's zon...