When a function interacts with the Ontology, it can incur Ontology query compute usage, which is displayed in the Resource Management application.
I have observed that the usage as shown in Resource Management isn’t attributed to individual function RIDs and versions, but rather to the code repository from which the function was published. This makes it difficult to determine which function is driving usage costs for repositories that contain multiple functions.
Is there any way to obtain this information at the granularity of the individual function? I also checked the contents of the Granular Usage dataset, but there as well, the finest level of granularity available was the repository RID.