Abstract: A structured logging and instrumentation framework may include a structured logging service that interacts with one or more instrumentation points of an application at runtime. The structured logging service may expose a structured logging application programming interface that may be called by an instrumentation point for passing structured trace event information. The structured logging service may be implemented as a source of structured trace event information for one or more consumers and may output structured trace event information as a serialized string or as one or more strongly-typed key-value pairs.

Abstract: A predictive contextual toolbar is presented that provides an identifiable region on which predicted commands can be surfaced. This user interface can be presented in cases where an indication of a request for a command (such as a formatting tool) is received, for example, while a user is interacting with a canvas of a productivity application. When conditions for surfacing a predictive command are met, the system can display an identifiable region on which predicted commands are surfaced according to context associated with the conditions for surfacing the predictive command. The identifiable region may be an extension of a mini toolbar. One or more dynamic predicted commands can be surfaced on the identifiable region to provide easily accessible, user specific, context related commands.

Abstract: A structured logging and instrumentation framework may include a structured logging service that interacts with one or more instrumentation points of an application at runtime. The structured logging service may expose a structured logging application programming interface that may be called by an instrumentation point for passing structured trace event information. The structured logging service may be implemented as a source of structured trace event information for one or more consumers and may output structured trace event information as a serialized string or as one or more strongly-typed key-value pairs.

Abstract: Systems and techniques for facilitating and backing the surfacing of predicted commands within a user interface are disclosed. Commands to surface for an active user in productivity applications can be predicted using a personalized community model. The personalized community model is generated using a record of past actions the active user has taken along with the past actions of many users of the productivity application. The actions of the active user within the productivity application are monitored and used to select commands to surface.

Abstract: A predictive contextual toolbar is presented that provides an identifiable region on which predicted commands can be surfaced. This user interface can be presented in cases where an indication of a request for a command (such as a formatting tool) is received, for example, while a user is interacting with a canvas of a productivity application. When conditions for surfacing a predictive command are met, the system can display an identifiable region on which predicted commands are surfaced according to context associated with the conditions for surfacing the predictive command. The identifiable region may be an extension of a mini toolbar. One or more dynamic predicted commands can be surfaced on the identifiable region to provide easily accessible, user specific, context related commands.