Abstract: An Adaptive Service Intelligence (ASI) data set related to a monitored service is received from a plurality of interfaces. A service relationship model associated with a monitored service is determined. The service relationship model includes one or more service members. Performance of each of the service members is analyzed using the received ASI data set. Performance metrics are identified for each of the service members. The identified performance metrics are indicative of corresponding service member's performance. A graphical user interface displaying a graphical representation of the identified performance metrics is generated based on the analysis. The graphical representation provides an aggregated view indicative of performance of the service members.

Abstract: An Adaptive Service Intelligence (ASI) data set related to a monitored service is received from a plurality of interfaces. Performance of a monitored service is analyzed within and outside of a context of the performed service using the acquired ASI data set. At least one of one or more relationship dependencies associated with a monitored service is determined. Performance of each of the at least one dependencies is analyzed using the acquired ASI data set. A report including one or more ASI data set values indicative of service performance degradation is generated based on the analysis.

Abstract: A method for performing root cause analysis of failures in a computer network is provided. The method includes receiving an Adaptive Service Intelligence (ASI) data set related to one or more failures reported in the computer network from a plurality of interfaces. One or more impact events associated with the reported failures are identified based on the received ASI data set. Each of the identified impact events is correlated with one or more cause events. A situation record is selectively generated based on the correlation results.

Abstract: An Adaptive Service Intelligence (ASI) data set related to a monitored service is received from a plurality of interfaces. A service relationship model associated with a monitored service is determined. The service relationship model includes one or more service members. Performance of each of the service members is analyzed using the received ASI data set. Performance metrics are identified for each of the service members. The identified performance metrics are indicative of corresponding service member's performance. A graphical user interface displaying a graphical representation of the identified performance metrics is generated based on the analysis. The graphical representation provides an aggregated view indicative of performance of the service members.

Abstract: An Adaptive Service Intelligence (ASI) data set related to a monitored service is received from a plurality of interfaces. Performance of a monitored service is analyzed within and outside of a context of the performed service using the acquired ASI data set. At least one of one or more relationship dependencies associated with a monitored service is determined. Performance of each of the at least one dependencies is analyzed using the acquired ASI data set. A report including one or more ASI data set values indicative of service performance degradation is generated based on the analysis.

Abstract: A method for performing root cause analysis of failures in a computer network is provided. The method includes receiving an Adaptive Service Intelligence (ASI) data set related to one or more failures reported in the computer network from a plurality of interfaces. One or more impact events associated with the reported failures are identified based on the received ASI data set. Each of the identified impact events is correlated with one or more cause events. A situation record is selectively generated based on the correlation results.