Case Study: Amazon Prime Video achieves faster machine learning deployment with Metaflow from Outerbounds

Streamlining Machine Learning Pipelines at Amazon Prime Video with Metaflow

Amazon research to production. These inefficiencies, compounded by limitations with their existing platform, led to delays and a high operational overhead. To Metaflow open-source framework.

By implementing Outerbounds' Metaflow, the team achieved a streamlined and infrastructure-agnostic workflow. The solution bridged the gap between research and production, enabling seamless scaling from local development to the cloud. This resulted in a 400% increase in project capacity, a 67% reduction in overhead that avoided hiring several engineers, and a 5x faster deployment velocity for their ML models.

Amazon Prime Video

Nissan Pow

Machine Learning Engineer