Methods and systems that identify objects of a data center that exhibit correlated-extreme behavior are described. The objects may be, but are not limited to, virtual machines (“VMs”), containers, server computers, clusters of server computers, and the data center itself. Metric data is collected for the various objects and the methods identify the objects that exhibit correlated-extreme behavior. In particular, the methods and systems narrow a search for correlated-extreme behavior of consumers of computational resources of a data center when a provider of the computational resources exhibits unexpected or extreme behavior.
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