Abstract: Technologies are disclosed that help developers determine server resource usage caused by client application generated events. Embodiments may be employed while an application is under development to balance the benefit of a given event with an estimated cost to process the event once the application is deployed. One aspect of the present disclosure provides a telemetry application that receives application generated events and estimates a resource cost they cause to data collection servers. The resource cost may be based on historic data captured from similar or related events, as well as data about how often the event and related events are raised by the application.

Abstract: Technologies are disclosed that help developers determine server resource usage caused by client application generated events. Embodiments may be employed while an application is under development to balance the benefit of a given event with an estimated cost to process the event once the application is deployed. One aspect of the present disclosure provides a telemetry application that receives application generated events and estimates a resource cost they cause to data collection servers. The resource cost may be based on historic data captured from similar or related events, as well as data about how often the event and related events are raised by the application.

Abstract: A system for classifying text is provided. The system includes a data store containing a plurality of previously observed word sequences and a processor coupled to the data store. The processor is configured to receive a first word sequence and generate bi-directional similarity metrics based on the first word sequence and each of the previously observed word sequences. The processor is also configured to assign a classification to the first word sequence based on at least one of the bi-directional similarity metrics.