A rollup super metric is the most common example of a super metric. It uses transformation type functions such as sum, avg, min, count, and so on, and then applies them through a looping function of all child objects matching the object and attribute type. The result of this calculation is then available as a super metric on the object where the super metric is applied.
Let's go through an example using Datastore Free Disk Space (cluster level). Now, before you e-mail me and point out that this metric already exists by default in the vCenter adapter, and that there is no need to create a super metric, I will point out that you are correct; however, the following figure well illustrates the point of rollups. We will go through a more unique example of this later. Take a look at the following...