Derived metrics include composite metrics and forecast metrics.

Whether using polled, stream, or a combination of both monitoring techniques to observe the system, more fidelity can be provided to the results by creating macro metrics that are a function of a number of metrics to derive a composite metric that describes the system state.

By using simple or complex statistical and signal analysis techniques, data can be taken from polled, streamed, or derived metrics, and it can predict what the future metrics might be. This enables the ability to provide data to the controller to make decisions ahead of the event, and to proactively take action on the system to reduce the chance of end-user impact due to slow controller response.