MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations

© Hien Luu, Max Pumperla and Zhe Zhang 2024

H. Luu et al.MLOps with Rayhttps://doi.org/10.1007/979-8-8688-0376-5_3

3. Feature Engineering Infrastructure

Hien Luu¹  , Max Pumperla² and Zhe Zhang³

(1)

Santa Clara, CA, USA

(2)

Bad Segeberg, Germany

(3)

Sunnyvale, CA, USA

 

This chapter and the following infrastructure-related chapters are designed to dive into details about the infrastructure of the MLOps stack, namely, feature engineering infrastructure, model training infrastructure, and model serving infrastructure. For these chapters, the following structure will be used. First, the high-level details and benefits will be described. Next, the high-level architecture and its subcomponents will be discussed, and finally a few case studies, including home-grown, ...