Structured Logging for Automated Host Triaging and Hardware Repair
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Solution Overview
Problem
Diagnosing and repairing hardware issues in provisioned physical machines within cloud service providers is challenging due to the complexity of interconnected components and the need to minimize downtime.
Innovation Solution
A system that automatically tests computing components of a physical machine, compares the results to base component logs, identifies anomalies, and executes remediation operations to address the issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual diagnosis and repair procedures are used for hardware issues in physical machines, then flexibility and adaptability are maintained, but downtime increases and repair efficiency decreases
Solution Approach 1:
The system performs preliminary actions by automatically executing diagnostic tests and identifying malfunctioning components before repair personnel arrive. The automated system compares test outputs against baseline data to pre-identify the root cause, so that when a technician arrives, the specific component needing repair is already known, eliminating time spent on manual diagnosis and reducing overall downtime.
2Measurement precision
If comprehensive testing of all computing components is performed to accurately identify malfunctioning components, then diagnostic precision improves, but the time required for diagnosis increases
Solution Approach 1:
The system applies partial action by selectively testing only specific computing components based on the reported performance issue rather than comprehensively testing all components. The automated diagnostic system intelligently determines which subset of components to test based on the nature of the performance issue, achieving sufficient diagnostic precision for the specific problem while minimizing the time required by avoiding unnecessary tests of unrelated components.
3Productivity
If automated testing and diagnosis systems are implemented to reduce downtime, then repair productivity improves, but system complexity increases
Solution Approach 1:
The automated diagnostic system achieves multi-functionality by integrating multiple capabilities into a single platform: it automatically executes various diagnostic tests across different computing components (storage, memory, CPU, GPU), compares results against baseline data, identifies malfunctioning components, and provides repair guidance. This universal system handles diverse hardware diagnostic scenarios without requiring separate specialized tools for each component type, thereby improving repair productivity while managing system complexity through consolidation.
4Measurement precision
If detailed structured logs and baseline comparisons are used to accurately identify anomalies, then measurement precision improves, but data processing complexity increases
Solution Approach 1:
The system uses copying by creating and storing baseline test outputs from healthy computing components. These baseline copies serve as reference data for comparison against test outputs from potentially malfunctioning components. By having pre-established baseline copies, the system achieves high anomaly detection precision through straightforward comparison operations, avoiding the need for complex real-time analysis while maintaining accurate diagnostic capabilities.
Data Source
AI summary
Techniques for diagnosing and repairing provisioned physical machines are disclosed. The system identifies a provisioned physical machine for diagnosing an issue. The system executes respective tests on a subset of components comprising the physical machine to generate a target component log. The system obtains a set of base component logs generated by executing the test on a set of base physical machines and evaluates the target component log based on the set of base component logs to identify an anomalous portion of the target component log. The system selects a remediation operation based on the anomalous portion of the target component log and executes the remediation operation for the provisioned physical machine for addressing the issue.