Abstract: A current task flow path of a user is identified based on task flow nodes of the current task flow path, and a data context of the task flow nodes. The task flow nodes may include actions performed by the user with one or more software applications. A suggestion point of the current task flow path is detected. The suggestion point may be detected based upon a user action indicating that the user needs assistance to proceed with the current task flow path. A candidate task flow node is selected responsive to a comparison of the current task flow path to historical task flows. A suggestion is displayed to the user based on the candidate task flow node.

Abstract: An application portfolio assessment tool and related techniques are provided. The manageability and criticality of a software application implementation are determined to evaluate and compare one or more applications. Sets of application inquiries to assess the manageability and criticality of the application are provided and responses received. Each response is scaled and multiplied by a weighting associated with the corresponding application inquiry. The determined values for each inquiry directed to manageability can be used to calculate a manageability score and the determined values for each inquiry directed to criticality can be used to calculate a criticality score. The results can be graphically depicted to illustrate the relative characteristics of one or more applications. Application risk exposure assessments can also be made using application inquiries. Using the manageability and criticality scores, applications can be selected for performance profiling.

Abstract: Network performance is monitored using timing information retrieved from a client device, server in communication with the client, or both. Client side timing information is retrieved using performance monitoring code provided by the server. The code may be provided to the client as part of a content response. Once content in the provided content response is loaded, the code sends the timing information to the server. The server may then process the timing information to calculate response time and other time information metrics.

Abstract: Resource pool depletion information, including the estimated time until the resource pool is depleted, is derived from resource pool data. Data regarding the size of a resource pool is collected over a period of time. The data may include the resource pool size and other information. One or more functions are then generated to fit one or more sets of data within the collected resource pool data. The best fitting function is selected from the generated functions and used to determine the time at which the particular resource pool will become depleted. Values for the selected function can be generated at future points in time to determine the depletion point of the resource pool. The time information as well as depletion confidence values are provided to a user or otherwise processed.