Asset tracking and predictive reliability analysis across distributed computing systems

A system, comprising:

• software agents, deployed on a fleet of computing systems, wherein the software agents are configured to provide telemetry data objects associated with operation of a corresponding hardware component, wherein the corresponding hardware component is installed in the fleet of computing systems;
• and
• an orchestrator engine, coupled to the software agents, wherein the orchestrator engine comprises:
• a processor;
• and
• a non-transitory computer readable storage medium having instructions encoded thereon that, when executed by the processor, cause the processor to perform steps comprising:
• performing predictive identification of hardware failures for the fleet of computing systems, wherein performing the predictive identification of failures comprises:
• receiving, from the software agents, telemetry data objects, wherein the telemetry data objects include chassis position of hardware components in the fleet of computing systems;
• obtaining reliability metrics associated with the hardware components based on the telemetry data objects;
• analyzing the telemetry data objects and the reliability metrics by using a component performance algorithm, wherein the component performance algorithm compares the telemetry data objects and the reliability metrics to component-specific failure rules;
• and
• identifying a hardware component in a computing system indicative of a hardware failure based on results of the component performance algorithm;
• and
• updating a maintenance dashboard with the results of the component performance algorithm, wherein the maintenance dashboard identifies the hardware component indicative of the hardware failure, including the chassis position of the hardware component in the computing system.

A computer program product comprising a non-transitory computer readable storage medium having instructions encoded thereon that, when executed by a processor, cause the processor to perform steps comprising:

• performing predictive identification of hardware failures for a fleet of computing systems, wherein performing the predictive identification of failures comprises:
• receiving, from software agents, telemetry data objects associated with operation of hardware components installed on the computing systems, wherein the software agents are deployed across the fleet of computing systems, wherein the telemetry data objects include chassis position of the hardware components in the fleet of computing systems;
• obtaining reliability metrics associated with the hardware components based on the telemetry data objects;
• analyzing the telemetry data objects and the reliability metrics by using a component performance algorithm, wherein the component performance algorithm compares the telemetry data objects and the reliability metrics to component-specific failure rules;
• and
• identifying a hardware component in a computing system indicative of a hardware failure based on results of the component performance algorithm;
• and
• updating a maintenance dashboard with the results of the component performance algorithm, wherein the maintenance dashboard identifies the hardware component indicative of the hardware failure, including the chassis position of the hardware component in the computing system.