Before ending our journey with super metrics, I think now would be a great time to explain how they are different from views. For example, a summary type view allows data from multiple objects to be transformed with operators such as sum, avg, max, and so on, in the same way that a rollup super metric does. Since you attach a super metric to an object, you can also specify if it is a key performance indicator or not. From there, you can decide if it is subject to normal vRealize Operations dynamic trending, or if you want a hard threshold.

The rule of thumb is if you need to create a view once with a metric, by all means, do. But if you need to repeatedly view a metric that is not available out of the box, you should consider a super metric. We will be talking more about views in the next chapter.

So, using a rollup super metric as an example, let's compare the two, with advantages and disadvantages of each.