ADMs are configured /designed based on how pygroups, channels etc are used in the deployment. I was wondering what level of granularity is the ideal for an ADM. Do we have any best practices and benchmarks around that?
@Ayeshasaeedhaq Hi, I guess your question is about the ADM context setting. According to NBA-D best practices, the context is pyIssu-pyGroup-pyDirection-pyChannel-pyName-pyTreatment. The granularity level is down to the treatment level. This is the best practice however, depending on certain use cases, the context can be changed. For example, if treatment level data is not sufficient to have proper models, or business preferences to model at higher levels etc.