Abstract: An improved method is provided for evaluating service quality of a software application residing in a computing environment. The method includes: monitoring first and second metrics indicative of performance of the software application; evaluating the first metric in relation to a first evaluation criterion; evaluating the second metric in relation to a second evaluation criterion different than the first evaluation criterion; and determining the state of service for the software application based in part on the evaluation of the second metric. Over time, the second evaluation criterion is adapted based on the outcome of the evaluation of the first metric.

Abstract: An improved method is provided for evaluating service quality of a software application residing in a computing environment. The method includes: monitoring first and second metrics indicative of performance of the software application; evaluating the first metric in relation to a first evaluation criterion; evaluating the second metric in relation to a second evaluation criterion different than the first evaluation criterion; and determining the state of service for the software application based in part on the evaluation of the second metric. Over time, the second evaluation criterion is adapted based on the outcome of the evaluation of the first metric.

Abstract: An improved method is provided for identifying a cause of a performance problem experienced by an application in a computing environment. To help a user find and isolate the problem quicker, the method proposes a unified performance analysis report that presents the most likely indicators of the source of the performance problem. The report presents performance metrics for the software services used by the application and charts the metric values over time since it is often the change in a metric that indicates a problem. Each metric chart should also include an indicator for the state of service for the application. This will help the user correlate metrics from multiple sources to the time period in which the application experienced a problem.

Abstract: A method of scheduling availability for a computing infrastructure in a shared computing environment is disclosed. The method comprises assigning a new schedule of service to a software application in the computing environment, propagating the new schedule of service assigned to the software application to a plurality of computing components that support the software application, where the computing infrastructure is comprised of the plurality of computing components having a hierarchical relationship with each other, and determining a schedule of service for a given computing component in the computing infrastructure by aggregating schedules of service propagated to the given computing component.

Abstract: An improved method is provided for evaluating service quality of a software application residing in a computing environment. The method includes: monitoring first and second metrics indicative of performance of the software application; evaluating the first metric in relation to a first evaluation criterion; evaluating the second metric in relation to a second evaluation criterion different than the first evaluation criterion; and determining the state of service for the software application based in part on the evaluation of the second metric. Over time, the second evaluation criterion is adapted based on the outcome of the evaluation of the first metric.

Abstract: An automated method is provided for constructing or updating a service model that defines the entities in an enterprise's computing environment. The method includes: defining a group of templates for updating the service model, where the group of templates identify different types of entities which comprise the service model and relationships between the types of entities including an entity that links software applications to respective computing infrastructure that supports the software applications; monitoring messages received from monitoring tools residing in the computing environment; and updating a service model in accordance with the group of templates using data encapsulated in the messages.

Abstract: An automated method is provided for constructing or updating a service model that defines the entities in an enterprise's computing environment. The method includes: defining a group of templates for updating the service model, where the group of templates identify different types of entities which comprise the service model and relationships between the types of entities including an entity that links software applications to respective computing infrastructure that supports the software applications; monitoring messages received from monitoring tools residing in the computing environment; and updating a service model in accordance with the group of templates using data encapsulated in the messages.

Abstract: A method of scheduling availability for a computing infrastructure in a shared computing environment is disclosed. The method comprises assigning a new schedule of service to a software application in the computing environment, propagating the new schedule of service assigned to the software application to a plurality of computing components that support the software application, where the computing infrastructure is comprised of the plurality of computing components having a hierarchical relationship with each other, and determining a schedule of service for a given computing component in the computing infrastructure by aggregating schedules of service propagated to the given computing component.

Abstract: An improved method is provided for evaluating service quality of a software application residing in a computing environment. The method includes: monitoring first and second metrics indicative of performance of the software application; evaluating the first metric in relation to a first evaluation criterion; evaluating the second metric in relation to a second evaluation criterion different than the first evaluation criterion; and determining the state of service for the software application based in part on the evaluation of the second metric. Over time, the second evaluation criterion is adapted based on the outcome of the evaluation of the first metric.

Abstract: An improved method is provided for identifying a cause of a performance problem experienced by an application in a computing environment. To help a user find and isolate the problem quicker, the method proposes a unified performance analysis report that presents the most likely indicators of the source of the performance problem. The report presents performance metrics for the software services used by the application and charts the metric values over time since it is often the change in a metric that indicates a problem. Each metric chart should also include an indicator for the state of service for the application. This will help the user correlate metrics from multiple sources to the time period in which the application experienced a problem.