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

This repository contains all the data and scripts that can assist the interested readers in replicating our research, as well as the study design and a full list of guidelines (the results). The study aims to synthesize a taxonomy of architecturally significant MLOps guidelines for the integration and deployment of ML models. To replicate the process, one may consult the methodology section in the manuscript.