How many of you actually use Machine Learning Powered mapping?

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NOW_seeker
Tera Contributor

3 weeks ago

We are doing Service Mapping in our organization in preparation for CMDB go-live.

 

So far we have done Dynamic CI Groups and some manual mapping. The topic of ML (Machine Learning) based mapping came up and the Architect chose to defer it.

 

Just curious — How many of you have actually used ML powered mapping and has it been beneficial in any sense? Also, what did you use it for?

 

Please describe your use-case.

 

Thanks

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Matthew_13
Mega Sage
In response to NOW_seeker

3 weeks ago

Yes — it can miss or incorrectly infer connections in certain scenarios.

We’ve seen ML-powered Service mapping struggle when traffic is intermittent event driven, or encrypted end to end especially if there isn’t enough consistent network or process data for the model to learn from. It can also miss dependencies that are logical rather than technical (Like, batch jobs, message queues or integrations that don’t maintain persistent connections.

That’s why we still treat ML-discovered relationships as recommendations not authoritative truth. They work pretty well for complex dynamic applicationsn but they still need validation particularly for business-critical services where accuracy matters.

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