Abstract: A natural language tool is provided for specifying a subset of data. The data may be dynamic and have elements which are inter-related. The inter-related data is specified using a natural language expression. The natural language tool enables a user to construct a natural language expression using embedded fields. A user may configure, add and remove fields within the expression. A natural language expression contains at least two configurable fields. The fields of an expression have a tiered relationship. When a higher tiered field is changed, one or more lower tiered fields may be changed in response to the higher field change.

Abstract: A natural language tool is provided for specifying a subset of data. The data may be dynamic and have elements which are inter-related. The natural language tool enables a user to construct a natural language expression having embedded fields to specify the subset of data. A user may configure, add and remove fields within the expression. The natural language expression contains at least two configurable fields having a tiered relationship. The fields may be associated with type-ahead functionality and menu culling, field manipulation indicators to configure the number of fields in an expression, and matching data count information for a field or the entire expression.

Abstract: Two or more interrelated hierarchies within a set of performance data may be integrated into a single hierarchy. The single hierarchy may be provided in a single user interface to allow a user to navigate the single hierarchy. By navigating through the single hierarchy, a user may view relationships between application elements, cumulative performance data for categories and elements, and other information. A single integrated hierarchy includes a sequence of node types. The node types for an integrated hierarchy may include categories, relationships and elements. The node types may repeat as a sequence within the hierarchy, and more than one node type may be combined into a single level of the hierarchy. Aggregated metrics such as response time may be displayed with the integrated hierarchy.

Abstract: Deviation of expected response times is used to characterize the health of one or more backend machines invoked by an application to process a request. Performance data generated in response to monitoring application execution is processed to select backend response time data. The selected data is processed to predict future values of a time series associated with backend response time. The predicted response time values are compared to actual response time values in the time series to determine a deviation from the predicted value. Deviation information for the time series data of response times is then reported to a user through an interface in a simple manner.

Abstract: Deviation of an expected error rate for a backend server invoked by an application to process a request is used to characterize the backend server health. Performance data generated in response to monitoring application execution is processed to select backend error rate data. The selected data is processed to predict future values of a time series associated with backend error rates. The predicted error rate values are compared to actual error rate values in the time series to determine a deviation from the predicted value. Deviation information for the time series data of error rates is then reported to a user through an interface in a simplified manner.

Abstract: Deviation of an expected error rate for a backend server invoked by an application to process a request is used to characterize the backend server health. Performance data generated in response to monitoring application execution is processed to select backend error rate data. The selected data is processed to predict future values of a time series associated with backend error rates. The predicted error rate values are compared to actual error rate values in the time series to determine a deviation from the predicted value. Deviation information for the time series data of error rates is then reported to a user through an interface in a simplified manner.

Abstract: Two or more interrelated hierarchies within a set of performance data may be integrated into a single hierarchy. The single hierarchy may be provided in a single user interface to allow a user to navigate the single hierarchy. By navigating through the single hierarchy, a user may view relationships between application elements, cumulative performance data for categories and elements, and other information. A single integrated hierarchy includes a sequence of node types. The node types for an integrated hierarchy may include categories, relationships and elements. The node types may repeat as a sequence within the hierarchy, and more than one node type may be combined into a single level of the hierarchy. Aggregated metrics such as response time may be displayed with the integrated hierarchy.

Abstract: Deviation of expected response times is used to characterize the health of one or more backend machines invoked by an application to process a request. Performance data generated in response to monitoring application execution is processed to select backend response time data. The selected data is processed to predict future values of a time series associated with backend response time. The predicted response time values are compared to actual response time values in the time series to determine a deviation from the predicted value. Deviation information for the time series data of response times is then reported to a user through an interface in a simple manner.

Abstract: A natural language tool is provided for specifying a subset of data. The data may be dynamic and have elements which are inter-related. The inter-related data is specified using a natural language expression. The natural language tool enables a user to construct a natural language expression using embedded fields. A user may configure, add and remove fields within the expression. A natural language expression contains at least two configurable fields. The fields of an expression have a tiered relationship. When a higher tiered field is changed, one or more lower tiered fields may be changed in response to the higher field change.

Abstract: A natural language tool is provided for specifying a subset of data. The data may be dynamic and have elements which are inter-related. The natural language tool enables a user to construct a natural language expression having embedded fields to specify the subset of data. A user may configure, add and remove fields within the expression. The natural language expression contains at least two configurable fields having a tiered relationship. The fields may be associated with type-ahead functionality and menu culling, field manipulation indicators to configure the number of fields in an expression, and matching data count information for a field or the entire expression.