Abstract: Machine data reflecting operation of a monitored system is ingested and made available for search by a data intake and query system (DIQS). Monitoring includes obtaining a subset of ordered events that are assigned to a task. In a graphical user interface on a display, a chart for the task is displayed. The chart includes an event identifier for each event of the subset of the ordered events, a confidence level value related to each event identifier of each event of the subset of ordered events, the confidence level value indicating the confidence level that the event is in the task. The chart further includes a time reference value identifying a time of each event.

Abstract: Machine data reflecting operation of a monitored system is ingested and made available for search by a data intake and query system (DIQS). Ingested data includes log data entries produced by an application that represent low-level instances of user interface or interaction events. Inference processing generates a new collection of data instances that each identifies a higher-level task performed by a user in a sequence of the low-level events without regard to any explicit task affiliation data component of the low-level instances. Information for the task may include a measure of confidence that each low-level event of the sequence is properly associated with the task. Tasks of the new collection may be advantageously visualized and included in downstream processing.

Abstract: Machine data reflecting operation of a monitored system is ingested and made available for search by a data intake and query system (DIQS). Ingested data includes log data entries produced by an application that represent low-level instances of user interface or interaction events. Inference processing generates a new collection of data instances that each identifies a higher-level task performed by a user in a sequence of the low-level events without regard to any explicit task affiliation data component of the low-level instances. Information for the task may include a measure of confidence that each low-level event of the sequence is properly associated with the task. Tasks of the new collection may be advantageously visualized and included in downstream processing.