DevOps Articles

Instacart Speeds ML Deployments with Hybrid MLOps Platform

Instacart began developing its machine learning infrastructure in 2016 with https://github.com/instacart/lore#lore, an open sourced framework. Instacart relies heavily on machine learning for product and operation innovations.

Griffin, built by the machine learning infrastructure team, now plays a foundational role in supporting the following machine learning applications and empowering innovations.

MLCLI: The in-house machine learning command-line interface that develops machine learning applications and manages the model lifecycle.

With data being the center of any MLOps platform, Instacart developed its FM product to support both real-time and batch engineering.