Continuous monitoring of KMeans model post production

In the process of deploying a KMeans model for a customer segmentation use case into production. KMeans doesn’t produce the same results every time and after production cluster sizes and arrangements are bound to change.

What are some considerations to take into account after deploying a KMeans model into production and what metrics do you monitor?

Anyone have any experience with this/have any recourses to share?

case change cluster continuous continuous monitoring customer datascience every kmeans metrics monitoring process production segmentation