Abstract: A pattern of configuration settings to be implemented for a service model corresponding to a system of IT resources is received from a UI. Commands are issued to the IT resources that correspond to configuration items included in the selected pattern to modify configuration settings. When a configuration change resulting from the commands is identified, a current configuration of the service model is compared to a previous configuration to identify modified configuration settings. In response to determining, based on a system performance indicator, improved system performance, the identified modified configuration settings are stored as a candidate pattern in a pattern database. A performance violation is identified for the system and the pattern database is queried to retrieve the candidate pattern including the group of configuration settings.

Abstract: Performance of a computer system is measured based, at least in part, on a performance metric. In response to determining that the computer system is experiencing a performance issue based on measuring the performance, the performance metric is matched with an anti-pattern to identify a performance issue, wherein the anti-pattern defines an incorrect solution to a defined problem occurring in the computer system. Also, a pattern repository is queried to identify a pattern that defines a correct solution to the defined problem based, at least in part, on the match between the performance metric and the anti-pattern. In response to identifying the pattern, implementing the pattern in the computer system to improve the performance.

Abstract: Performance of a computer system is measured based, at least in part, on a performance metric. In response to determining that the computer system is experiencing a performance issue based on measuring the performance, the performance metric is matched with an anti-pattern to identify a performance issue, wherein the anti-pattern defines an incorrect solution to a defined problem occurring in the computer system. Also, a pattern repository is queried to identify a pattern that defines a correct solution to the defined problem based, at least in part, on the match between the performance metric and the anti-pattern. In response to identifying the pattern, implementing the pattern in the computer system to improve the performance.

Abstract: Various embodiments described and illustrated herein include at least one of systems, methods, and software to identify, use, or share patterns and anti-patterns. Embodiments that include pattern and anti-pattern identification operate to identify candidate patterns and anti-patterns within a deployed system and to confirm or receive confirmation that the identified candidates are indeed patterns or anti-patterns. Embodiments that use patterns and anti-patterns operate to consume the identified patterns and anti-patterns to improve system performance. The embodiments that share patterns and anti-patterns include mechanisms whereby patterns and anti-patterns can be sent to and received from other systems.

Abstract: Various embodiments described and illustrated herein include at least one of systems, methods, and software to identify and resolve violations of system and process performance measuring metrics. Following identification of such a violation, some embodiments may identify and cause a solution to be implemented. Following implementation of a solution, the violated metrics are again applied and the results evaluated to verify resolution of the metric violation. Some embodiments may repeat this process until the metric violation or violations are resolved.

Abstract: Various embodiments described and illustrated herein include at least one of systems, methods, and software to identify and resolve violations of system and process performance measuring metrics. Following identification of such a violation, some embodiments may identify and cause a solution to be implemented. Following implementation of a solution, the violated metrics are again applied and the results evaluated to verify resolution of the metric violation. Some embodiments may repeat this process until the metric violation or violations are resolved.

Abstract: A computer system includes a plurality of computer processor dependent nodes and a plurality of computer processor antecedent nodes. Each node includes a severity value relating to an operational state of the node. A dependent node and an antecedent node pair include a significance value relating to a criticality that the antecedent node has to its paired dependent node. The antecedent node comprises a relevance value, wherein the relevance value is a function of the severity value of the antecedent node and the significance value for the antecedent node and the dependent node. The relevance value is used to determine an impact that the antecedent node has on the paired dependent node.

Abstract: A computer system includes a plurality of computer processor dependent nodes and a plurality of computer processor antecedent nodes. Each node includes a severity value relating to an operational state of the node. A dependent node and an antecedent node pair include a significance value relating to a criticality that the antecedent node has to its paired dependent node. The antecedent node comprises a relevance value, wherein the relevance value is a function of the severity value of the antecedent node and the significance value for the antecedent node and the dependent node. The relevance value is used to determine an impact that the antecedent node has on the paired dependent node.

Abstract: Various embodiments described and illustrated herein include at least one of systems, methods, and software to identify and resolve violations of system and process performance measuring metrics. Following identification of such a violation, some embodiments may identify and cause a solution to be implemented. Following implementation of a solution, the violated metrics are again applied and the results evaluated to verify resolution of the metric violation. Some embodiments may repeat this process until the metric violation or violations are resolved.

Abstract: Various embodiments described and illustrated herein include at least one of systems, methods, and software to identify, use, or share patterns and anti-patterns. Embodiments that include pattern and anti-pattern identification operate to identify candidate patterns and anti-patterns within a deployed system and to confirm or receive confirmation that the identified candidates are indeed patterns or anti-patterns. Embodiments that use patterns and anti-patterns operate to consume the identified patterns and anti-patterns to improve system performance. The embodiments that share patterns and anti-patterns include mechanisms whereby patterns and anti-patterns can be sent to and received from other systems.

Abstract: A computer system includes a plurality of computer processor dependent nodes and a plurality of computer processor antecedent nodes. Each node includes a severity value relating to an operational state of the node. A dependent node and an antecedent node pair include a significance value relating to a criticality that the antecedent node has to its paired dependent node. The antecedent node comprises a relevance value, wherein the relevance value is a function of the severity value of the antecedent node and the significance value for the antecedent node and the dependent node. The relevance value is used to determine an impact that the antecedent node has on the paired dependent node.