1. A method for process model performance measurement and process performance policy enforcement, comprising: receiving a deployed process model; discovering a common sub-process pattern in the deployed process model that is in common with at least one previously discovered sub-process pattern in a previously deployed process model; adding the deployed process model to a member list of the common sub-process pattern, if the deployed process model is not already in the member list, the member list of the common sub-process pattern comprising at least a plurality of process patterns that includes the common sub-process pattern, the common sub-process pattern associated with activities in the process patterns that reify the common sub-process pattern, the member list further comprising information that tells where a given pattern appears; receiving a signal of one or more events associated with a runtime instance of the deployed process model, the signal of one or more events describing one or more of start, stop, failure, exception, and configured events occurring in an execution of said runtime instance of the deployed process model, the signal of one or more events stored in an event data store; responsive to determining that the deployed process model or a sub-process within the deployed process model that caused the one or more events to be generated is in the member list of a common sub-process pattern, associating one or more performance dimensions impacted by the one or more events with the common sub-process pattern; computing performance measurement associated with the discovered common sub-process pattern based on the received one or more events; based on the performance measurement, identifying a composition of two or more services that individually produce positive performance but when composed together produce negative performance, wherein generating of the one or more events are configurable to be turned on and off at least for individual process models or instances of process models conforming to a given pattern; and displaying via a dashboard user interface, the common sub-process pattern and the performance measurement, wherein a plurality of common sub-process patterns are discovered and saved with respective performance measurements for creating and updating of new process models, performance of the new process models further predicted based on the respective performance measurements of the plurality of common sub-process patterns, wherein a sub-process pattern data store is rebuilt at set intervals.