Abstract: Mechanisms and methods are provided for establishing vectors indicating the presence, in a first vehicle and second vehicle, of a super-set of vehicle features present across a fleet of vehicles. The first vehicle may be a reference vehicle. A distance function of the vectors may be calculated in order to establish a similarity score indicating the degree of similarity between the designs of the two vehicles. If the second vehicle is sufficiently similar to the reference vehicle, a software update may be recommended and applied.

Abstract: Mechanisms and methods are provided for establishing vectors indicating the presence, in a first vehicle and second vehicle, of a super-set of vehicle features present across a fleet of vehicles. The first vehicle may be a reference vehicle. A distance function of the vectors may be calculated in order to establish a similarity score indicating the degree of similarity between the designs of the two vehicles. If the second vehicle is sufficiently similar to the reference vehicle, a software update may be recommended and applied.

Abstract: In one example of the disclosure, an expected measurement range is identified for each of a set of metrics. Actual value measurements are obtained for each of the metrics. Each of the identified expected measurement ranges and the actual value measurements are normalized according to a common scale. A graph is caused to be displayed. The graph includes a baseline band representative of the normalized measurement ranges, and includes the normalized actual value measurements plotted relative to the baseline band.

Abstract: Event-time pairs are received for a current time slot. Each event-time pair denotes the occurrence of an event at a system by an event type as well as an occurrence time. For each different event type, a property value for the time slot is computed for each different property of a number of different properties, from the event-time pairs having the different event type. For each different property, a time-decaying histogram of identified property values of the different property is updated using the property value computed for the different property for the current time slot. An anomaly score for each identified property value within the time-decaying histogram of each different property is computed to detect occurrence of an anomaly within the system.

Abstract: In some examples, host IDs associated with the respective source component and a result of a partial calculation of an aggregate metric score may be received from each of a plurality of source components associated with a host of an information technology (IT) system. The partial calculation based on individual metric scores may be associated with the respective source component. The aggregate metric score may be calculated using the partial calculations and the host IDs, the aggregate metric score associated with metric measurements of the source components.

Abstract: Event-time pairs are received for a current time slot. Each event-time pair denotes the occurrence of an event at a system by an event type as well as an occurrence time. For each different event type, a property value for the time slot is computed for each different property of a number of different properties, from the event-time pairs having the different event type. For each different property, a time-decaying histogram of identified property values of the different property is updated using the property value computed for the different property for the current time slot. An anomaly score for each identified property value within the time-decaying histogram of each different property is computed to detect occurrence of an anomaly within the system.

Abstract: In one example of the disclosure, an expected measurement range is identified for each of a set of metrics. Actual value measurements are obtained for each of the metrics. Each of the identified expected measurement ranges and the actual value measurements are normalized according to a common scale. A graph is caused to be displayed. The graph includes a baseline band representative of the normalized measurement ranges, and includes the normalized actual value measurements plotted relative to the baseline band.