Automated Storage Analysis System for Proactive Maintenance
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Solution Overview
Problem
Maintaining redundant high-availability storage systems is complex and requires numerous IT operations, such as software and firmware updates, which can be time-consuming and error-prone, affecting the reliability and efficiency of these systems.
Innovation Solution
An automated analysis process that gathers telemetry data from remote storage systems to identify issues, such as firmware and software upgrades needed, and provides solutions like installing upgrades or offering recommendations to administrators, thereby simplifying maintenance and improving system health scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual maintenance operations are performed by IT professionals, then software and firmware updates can be applied, but the process becomes complex and time-consuming
Solution Approach 1:
The storage system automatically performs self-diagnosis and self-maintenance by executing maintenance operations based on analyzed telemetry data, eliminating the need for manual IT professional intervention and significantly reducing maintenance time while ensuring system reliability
Solution Approach 2:
The system proactively identifies potential issues through continuous telemetry analysis and automatically applies software and firmware updates before failures occur, preventing problems rather than reacting to them, which reduces both maintenance time and improves reliability
2Reliability
If multiple manual operations are performed for storage system maintenance, then system updates can be completed, but the complexity of maintenance increases
Solution Approach 1:
The system merges multiple discrete maintenance operations (telemetry collection, analysis, issue identification, and update execution) into a single automated maintenance process, reducing maintenance complexity while ensuring comprehensive system reliability
Solution Approach 2:
The storage system autonomously performs the complete maintenance workflow including monitoring, analysis, and execution of updates without requiring IT professionals to coordinate multiple operations, significantly simplifying maintenance complexity
3Reliability
If IT professionals perform numerous manual maintenance operations, then software and firmware updates can be applied, but the process becomes error-prone
Solution Approach 1:
The system automatically executes maintenance operations based on its own diagnostic data, eliminating human intervention and the associated errors, while maintaining high reliability through automated decision-making and execution
Solution Approach 2:
The system continuously collects telemetry data, analyzes system state, and automatically adjusts maintenance operations based on real-time feedback, ensuring accurate and error-free execution of updates without manual intervention
4Ease of operation
If automated analysis is implemented to identify issues, then maintenance complexity is reduced, but telemetry data collection and processing is required
Solution Approach 1:
The storage system integrates multiple functions (monitoring, data collection, analysis, and maintenance execution) into a single automated platform, making the system more complex internally but significantly easier to operate externally by eliminating manual maintenance tasks
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 identify one or more issues with the remote storage system. One or more solutions are provided to the remote storage system based, at least in part, upon the one or more issues.