Method and apparatus for predicting hard drive failure
A method is provided, comprising: retrieving telemetry data from a first storage device; generating a failure risk score for the first storage device, the failure risk score being generated by using a failure inference engine, the failure inference engine being arranged to execute a predictive failure model for calculating the failure risk score; and outputting the failure risk score for use in servicing the first storage device.
1. A method comprising:
retrieving telemetry data from a storage device, the telemetry data including manufacturer-specific data and standard telemetry data;
generating a failure risk score for the storage device, the failure risk score being generated by using a failure inference engine, the failure inference engine being arranged to execute a predictive failure model for calculating the failure risk score; and
outputting the failure risk score for use in servicing the storage device,
wherein the manufacturer-specific data is obtained by using a first collector, the first collector being arranged to provide, to a controller of the storage device, a key for unlocking manufacturer-specific logs that are maintained by the controller, and
wherein the standard telemetry data is obtained by using a second collector.
2. The method of claim 1 , further comprising:
providing, to a management system, an identifier corresponding to the storage device;
receiving the predictive failure model from the management system; and
causing the failure inference engine to execute the predictive failure model,
wherein the predictive failure model is selected, by the management system, based on the identifier corresponding to the storage device.
3. The method of claim 1 , further comprising:
providing, to a management system, an identifier corresponding to the storage device;
receiving the predictive failure model from the management system; and
causing the failure inference engine to execute the predictive failure model,
wherein the predictive failure model is trained, by the management system, based on training data that is selected based on the identifier corresponding to the storage device.
4. The method of claim 1 , wherein the telemetry data identifies one or more of fly height, temperature, duty cycle, and vibration of the storage device.
5. The method of claim 1 , wherein outputting the failure risk score include providing the failure risk score to a management system.
6. The method of claim 1 , wherein outputting the failure risk score includes providing the failure risk score to a risk score analyzer, the risk score analyzer including logic that is arranged to execute a preemptive maintenance action for the storage device when the failure risk score satisfies a predetermined condition.
7. A system comprising:
a storage device; and
at least one processor operatively coupled to the storage device, the at least one processor being configured to perform the operations of:
retrieving telemetry data from a storage device, the telemetry data including manufacturer-specific data and standard telemetry data;
generating a failure risk score for the storage device, the failure risk score being generated by using a failure inference engine, the failure inference engine being arranged to execute a predictive failure model for calculating the failure risk score; and
outputting the failure risk score for use in servicing the storage device,
wherein the manufacturer-specific data is obtained by using a first collector, the first collector being arranged to provide, to a controller of the storage device, a key for unlocking manufacturer-specific logs that are maintained by the controller, and
wherein the standard telemetry data is obtained by using a second collector.
8. The system of claim 7 , wherein the at least one processor is further configured to perform the operations of:
providing, to a management system, an identifier corresponding to the storage device;
receiving the predictive failure model from the management system; and
causing the failure inference engine to execute the predictive failure model,
wherein the predictive failure model is selected, by the management system, based on the identifier corresponding to the storage device.
9. The system of claim 7 , wherein the at least one processor is further configured to perform the operations of:
providing, to a management system, an identifier corresponding to the storage device;
receiving the predictive failure model from the management system; and
causing the failure inference engine to execute the predictive failure model,
wherein the predictive failure model is trained, by the management system, based on training data that is selected based on the identifier corresponding to the storage device.
10. The system of claim 7 , wherein the telemetry data identifies one or more of fly height, temperature, duty cycle, and vibration of the storage device.
11. The system of claim 7 , wherein outputting the failure risk score include providing the failure risk score to a management system.
12. The system of claim 7 , wherein outputting the failure risk score includes providing the failure risk score to a risk score analyzer, the risk score analyzer including logic that is arranged to execute a preemptive maintenance action for the storage device when the failure risk score satisfies a predetermined condition.
13. A non-transitory, computer-readable medium storing one or more processor-executable instructions, which when executed by at least one processor further cause the at least one processor to perform the operations of:
retrieving telemetry data from a storage device, the telemetry data including manufacturer-specific data and standard telemetry data;
generating a failure risk score for the storage device, the failure risk score being generated by using a failure inference engine, the failure inference engine being arranged to execute a predictive failure model for calculating the failure risk score; and
outputting the failure risk score for use in servicing the storage device,
wherein the manufacturer-specific data is obtained by using a first collector, the first collector being arranged to provide, to a controller of the storage device, a key for unlocking manufacturer-specific logs that are maintained by the controller, and
wherein the standard telemetry data is obtained by using a second collector.
14. The non-transitory computer-readable medium of claim 13 , wherein the one or more processor-executable instructions, when executed by the at least one processor, further cause the at least one processor to perform the operations of:
providing, to a management system, an identifier corresponding to the storage device;
receiving the predictive failure model from the management system; and
causing the failure inference engine to execute the predictive failure model,
wherein the predictive failure model is selected, by the management system, based on the identifier corresponding to the storage device.
15. The non-transitory computer-readable medium of claim 13 , wherein the one or more processor-executable instructions, when executed by the at least one processor, further cause the at least one processor to perform the operations of:
providing, to a management system, an identifier corresponding to the storage device;
receiving the predictive failure model from the management system; and
causing the failure inference engine to execute the predictive failure model,
wherein the predictive failure model is trained, by the management system, based on training data that is selected based on the identifier corresponding to the storage device.
16. The non-transitory computer-readable medium of claim 13 , wherein the telemetry data identifies one or more of fly height, temperature, duty cycle, and vibration of the storage device.
17. The non-transitory computer-readable medium of claim 13 , wherein outputting the failure risk score include providing the failure risk score to a management system.