Architecturally Significant MLOps Guidelines for ML Model Integration and Deployment: a Gray Literature Review

Faezeh Amou Najafabad, Markus Haug, Keerthiga Rajenthiram +2

Context. Despite the growing adoption of Machine Learning Operations (MLOps), teams often approach MLOps projects in an ad hoc manner due to the lack of consolidated architectural…