Abstract: Synthetic transactions for a network system are generated based on monitoring of the network system to determine whether the network system may be blind to traffic. A process determines whether an application within an application server in a network system is processing traffic received by the application server, and whether a web server within the network system and in communication with the application server is receiving traffic that requires processing by the application. The process determines that the network system may be blind to the traffic, and, in response, generates a synthetic transaction instruction and a corresponding synthetic transaction to test whether the network system is blind to the traffic. Based on a response of the network system to the synthetic transaction, the process determines whether there is a malfunction of the application server or a period of low traffic activity of the application server.

Abstract: Synthetic transactions for a network system are generated based on monitoring of the network system to determine whether the network system may be blind to traffic. A process determines whether an application within an application server in a network system is processing traffic received by the application server, and whether a web server within the network system and in communication with the application server is receiving traffic that requires processing by the application. The process determines that the network system may be blind to the traffic, and, in response, generates a synthetic transaction instruction and a corresponding synthetic transaction to test whether the network system is blind to the traffic. Based on a response of the network system to the synthetic transaction, the process determines whether there is a malfunction of the application server or a period of low traffic activity of the application server.

Abstract: Synthetic transactions for a network system are generated based on monitoring of the network system. One or more network system monitoring systems receive network system traffic, traffic monitoring data and/or application runtime data during a monitoring process. The traffic monitoring data may be derived from network system traffic and the application runtime data may be data associated with application transactions. The traffic, traffic monitoring data and application runtime data may contain information regarding the scope and frequency of the functionality tested by the actual traffic received by the network system. Synthetic transactions may be generated and transmitted to test the network system based on the scope and frequency of the functionality tested by actual traffic.

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: 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: Synthetic transactions for a network system are generated based on monitoring of the network system. One or more network system monitoring systems receive network system traffic, traffic monitoring data and/or application runtime data during a monitoring process. The traffic monitoring data may be derived from network system traffic and the application runtime data may be data associated with application transactions. The traffic, traffic monitoring data and application runtime data may contain information regarding the scope and frequency of the functionality tested by the actual traffic received by the network system. Synthetic transactions may be generated and transmitted to test the network system based on the scope and frequency of the functionality tested by actual traffic.

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: Non-corrupting synthetic transactions are generated for testing a web service. The transactions do not corrupt data for a front end web server of the web service or a back end application server accessed by the web server. The synthetic transactions may be generated using code inserted into an application and a network traffic interceptor which intercepts traffic for a web service associated with the application. The synthetic transactions may also be generated by intercepting live traffic for the web server and monitoring application server behavior. The intercepted traffic and data associated with the monitored behavior data are processed. Transactions are then identified which would not corrupt data if used as a synthetic transaction. Transactions are identified by comparing the intercepted traffic data and monitored behavior data. The synthetic transactions are then transmitted to the web server when needed.