Now it is time to start building your own super metrics, and we can walk through the process of doing so. The first step in designing and building a super metric is to have a clear use case or problem that you are trying to solve. In our example, an administrator is keen to know if CPU Ready % (or CPU contention) is increasing on all VMs in a cluster as the amount of provisioned VMs increases. Because the administrator wants to know the maximum value of a metric that is present on all virtual machines, a Rollup super metric is the most appropriate.
When creating Rollup super metrics, understanding parent/child relationships is critical as it helps determines the depth of the looping algorithm that is being defined. The parent/child relationships can be seen in some dashboards, the Environment tab of an object, and in the Object Relationships section...