Apparatus, device, methods and system relating to a vehicular telemetry environment for the for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

A device, method, and computer readable medium for automating processes in digital environments. Illustratively, the method includes providing an instruction to implement at least one operation on a target computing platform. The method includes executing one or more commands to search for one or more locations of the target computing platform to determine a target property. The one or more commands search based on at least one pre-configured parameter of a plurality of pre-configured parameters for searching computing platforms. The method includes determining (e.g., using machine learning) at least one automated command to execute based on the determined target property of the target computing platform and the at least one operation. The at least one automated command is selected from an automated command repository for detecting anomalies in digital environments. The method includes executing the determined at least one automated command to detect anomalies.

A computing system includes one or more electronic components, a first programmable device, and a baseboard management controller (BMC). The first programmable device is communicatively coupled to a first subset of the one or more electronic components. The first programmable device is configured to detect event activities associated with the first subset and to store the event activities as stored first event data. The BMC includes a system event log. The BMC is communicatively coupled to the first programmable device. The BMC is configured to receive the stored first event data and to write the stored first event data in the system event log.

A device, method, and computer readable medium for automating processes in digital environments. Illustratively, the method includes providing an instruction to implement at least one operation on a target computing platform. The method includes executing one or more commands to search for one or more locations of the target computing platform to determine a target property. The one or more commands search based on at least one pre-configured parameter of a plurality of pre-configured parameters for searching computing platforms. The method includes determining (e.g., using machine learning) at least one automated command to execute based on the determined target property of the target computing platform and the at least one operation. The at least one automated command is selected from an automated command repository for detecting anomalies in digital environments. The method includes executing the determined at least one automated command to detect anomalies.