Introducing Configurable Metaflow

Introducing Configurable Metaflow

摘要

A month ago at QConSF, we showcased how Netflix utilizes Metaflow to power a diverse set of ML and AI use cases, managing thousands of unique Metaflow flows. This followed a previous blog on the same topic. Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the system that supports our content decision makers, or the system that ranks which language subtitles are most valuable for a specific piece of content.

As a central ML and AI platform team, our role is to empower our partner teams with tools that maximize their productivity and effectiveness, while adapting to their specific needs (not the other way around). This has been a guiding design principle with Metaflow since its inception.