Abstract: Techniques performed by a data processing system for diagnosing problems with a communications platform include obtaining query parameters including an aggregation operator for invoking a machine learning algorithm configured to analyze performance data for the communications platform, automatically executing the query on the performance data to obtain query results by invoking the machine learning algorithm on the performance data to automatically identify a plurality of clusters of data indicative of a performance problem, and presenting a visualization of the query results. The visualization includes indicators identifying cluster properties for which the query results are further refinable and one or more second indicators identifying the second subset of the second cluster properties which are not relevant for further refining the first query results. The indicators are actuatable to automatically update and re-execute the first query based on the respective indicator that is actuated.

Abstract: The execution-time reporting of telemetry of execution of a software program. Subscribers submit subscriptions to telemetry of the software program. As each subscription is received, the telemetry scope of the subscription is evaluated to determine what portion of an object model is to be augmented. The augmented portion will include portion(s) related to the scope of telemetry subscribed to in the subscription. Thereafter, that portion of the object model is indeed augmented as execution of the computer program proceeds further. Subsequently, telemetry reports are generated for a subscription based on the interpretation of a defined subscription-specific portion of the object model.

Abstract: The execution-time reporting of telemetry of execution of a software program. Subscribers submit subscriptions to telemetry of the software program. As each subscription is received, the telemetry scope of the subscription is evaluated to determine what portion of an object model is to be augmented. The augmented portion will include portion(s) related to the scope of telemetry subscribed to in the subscription. Thereafter, that portion of the object model is indeed augmented as execution of the computer program proceeds further. Subsequently, telemetry reports are generated for a subscription based on the interpretation of a defined subscription-specific portion of the object model.

Abstract: Techniques performed by a data processing system for diagnosing problems with a communications platform include obtaining query parameters including an aggregation operator for invoking a machine learning algorithm configured to analyze performance data for the communications platform, automatically executing the query on the performance data to obtain query results by invoking the machine learning algorithm on the performance data to automatically identify a plurality of clusters of data indicative of a performance problem, and presenting a visualization of the query results. The visualization includes indicators identifying cluster properties for which the query results are further refinable and one or more second indicators identifying the second subset of the second cluster properties which are not relevant for further refining the first query results. The indicators are actuatable to automatically update and re-execute the first query based on the respective indicator that is actuated.