Building data science teams to have an impact at scale

What this post added

This post details the integration of data science into infrastructure engineering at Meta, focusing on three key areas: optimizing CDN cache efficiency with ML models to predict content re-request likelihood; developing tools to detect performance regressions by isolating effects from underlying trends in device usage or demographics and using custom algorithms for server-side regression detection that account for trend, seasonality, and noise; and improving data center strategy through custom forecasting models (Bayesian time series, deep learning) that handle complex seasonal fluctuations and usage trends, and predicting the impact of infrequent events on infrastructure.