It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago

Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago

A useful crowd-sourced resource for finding Google alternatives: https://nomoregoogle.com/. Source: over 1 year ago

My point is more to introduce alternatives to Google. They’ve proven they have little regard for the privacy of their users. Source: over 1 year ago

Https://nomoregoogle.com/ Privacy-friendly alternatives to Google that don't track you. Source: almost 2 years ago

Each step you take to be more private helps. The simplest you can do is use less Big Tech products. For example, stop using Chrome and use Firefox instead, stop Google search and use Startpage or Duckduckgo, stop Google Maps and use OpenStreetMaps, stop GMail and use e.g. ProtonMail etcA larger list of alternatives is available at https://nomoregoogle.com/Then, you can start by using popular open-source software... Source: almost 2 years ago

Nomoregoogle.com provides a list of alternatives to get you started. Source: over 2 years ago