Production Research and Shipping at Scale Questions

Assess the end to end practices for moving research into reliable production at scale. Topics include reproducible training and serving pipelines, continuous integration and deployment for models, canary and shadow evaluation strategies, production quality testing and validation, monitoring and alerting for data and model issues, data lineage and feature governance, cost and latency trade offs, coordination between research and engineering teams, and methods for measuring real world impact after deployment.