Our search infrastructure team is building a new information retrieval system to power the next generation of relevance-based, personalized products. Read more...
As one of the most critical infrastructure at Twitter, Observability provides highly scalable data collection and visualization services. This blog post gives overview of our architecture and shares our experience in developing and operating our systems.
As one of the most critical infrastructure at Twitter, observability provides highly scalable data collection and visualization services. Our post gives overview of our architecture and shares our experience in developing and operating our systems.
We explore lessons we learned while adding strong consistency to Manhattan and describe several problems that had to be solved along the way (implementing TTLs in a strongly consistent manner, doing distributed log truncations).
Figuring out the minimal number of users one must expose to an experimental treatment to collect actionable data is not a trivial task. We explain how we approach this problem with Twitter’s A/B testing platform (DDG), and how we communicate issues of statistical power to experimenters.