Automated Storage Health Scoring via Telemetry Analysis
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Solution Overview
Problem
Maintaining redundant high-availability storage systems is complex and requires numerous IT operations, including software and firmware updates, which can be time-consuming and error-prone.
Innovation Solution
A computer-implemented method that analyzes telemetry data from remote storage systems to assign a system health score, providing solutions such as firmware or software upgrades, recommendations, and incentives based on the analysis, which includes evaluating hardware and software components and error codes to identify necessary updates and issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual maintenance operations are performed on storage systems, then system reliability can be maintained, but the complexity of maintenance and time consumption increase significantly
Solution Approach 1:
The system performs self-diagnosis by automatically collecting telemetry data from its own components, analyzing hardware health status, and identifying maintenance needs without external intervention. This eliminates the need for complex manual maintenance operations while maintaining system reliability.
Solution Approach 2:
The system continuously monitors telemetry data and provides feedback about component health status, predictive failure risks, and maintenance recommendations. This closed-loop feedback mechanism enables proactive maintenance scheduling, reducing both complexity and time requirements while preserving reliability.
2Reliability
If comprehensive telemetry data analysis is performed to improve system health monitoring, then system reliability improves, but the processing time and computational resources increase
Solution Approach 1:
The system pre-processes and stores telemetry data as it is collected, organizing information by component type and health parameter. This preliminary action enables rapid analysis when maintenance decisions are needed, improving monitoring accuracy without increasing real-time analysis time.
Solution Approach 2:
The analysis is divided into segments focusing on specific component types (disks, power supplies, fans, etc.) and health parameters. This segmentation allows parallel processing of different data streams, reducing overall analysis time while maintaining comprehensive monitoring accuracy.
Data Source
AI summary
A method, computer program product, and computing system for receiving telemetry data from a remote storage system. The telemetry data is analyzed to assign a system health score to the remote storage system.