Method and system for evaluating peer groups for comparative anomaly
Abstract:
Example aspects include techniques for implementing peer group evaluation for comparative anomaly. These techniques may include determining a candidate group including a plurality of component metrics, and determining that the plurality of component metrics are a peer group based at least in part on a cluster profile of the candidate group and the candidate group exhibiting peer-like behavior of a period of time. In addition, the techniques may include detecting anomalous activity based at least in part on first performance information of a component metric deviating from second performance information for the peer group, and providing a notification of the anomalous activity.
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