Abstract: In one embodiment, a method includes receiving logfile data, parsing the logfile data into parsed data elements and acquiring at least one contextual data element in relation to the parsed data elements. The method further includes structuring the parsed data elements and the at least one contextual data element as instances of a multirepresentational time-series log entry. In addition, the method includes publishing real-time time-series performance data and determining a user viewing context. Furthermore, the method includes automatically correlating the user viewing context to at least one dimension. Additionally, the method includes filtering the log-entry instances by the at least one dimension to yield filtered log-entry instances. Also, the method includes pivoting the filtered log-entry instances on one or more dimensions, the pivoting yielding pivoted data. In addition, the method includes publishing the pivoted data to a user interface.

Abstract: In one embodiment, a method is performed by a computer system. The method includes providing a performance-monitoring platform as a service, the performance-monitoring platform comprising at least one agent manager. The method further includes facilitating creation of a customized performance-monitoring application, the performance-monitoring application comprising an agent and at least one user dashboard. The agent is configured to collect performance data related to a specified monitored resource. The agent parses the collected performance data to a monitoring server for storage according to at least one standard data model. The at least one user dashboard allows users to view information related to the collected performance data. The facilitating includes configuring deployment attributes of the customized performance-monitoring application responsive to developer input. Moreover, the method includes deploying the customized performance-monitoring application on the performance-monitoring platform.