Blade Server Debug Log Aggregation via Chassis Management
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Solution Overview
Problem
Debugging errors in blade server environments is time-consuming and inefficient due to the impact of errors on multiple blade servers, requiring many to be taken offline while issues are resolved.
Innovation Solution
A method and system that captures and integrates debug information from heterogeneous out-of-band controllers, associating it with error logs in a blade chassis, using a chassis management module to identify relationships between blade servers and shared resources, and aggregating debug information from affected blade management controllers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If blade servers are densely packed in a chassis to improve space efficiency, then space utilization is improved, but debugging complexity and time increase due to shared resources and error propagation
Solution Approach 1:
The patent segments the debugging process by creating a dedicated error logging and tracking system that operates independently for each blade server. Each blade has its own error logs and status tracking, allowing administrators to isolate and debug issues on a per-blade basis rather than having to investigate the entire chassis when an error occurs.
Solution Approach 2:
The patent introduces an intermediary management system that sits between the blade servers and administrators. This intermediary automatically collects, correlates, and presents error information from multiple blades, reducing the time administrators spend manually investigating errors across densely packed servers.
2Productivity
If multiple blade servers share common chassis resources to improve efficiency, then resource utilization is improved, but error impact spreads to multiple servers, worsening system reliability
Solution Approach 1:
The patent segments error tracking and logging by associating each error with its specific source blade and affected resources. This segmentation allows the system to identify which blade caused an error and which blades are affected, enabling targeted responses that isolate problems to specific blades rather than taking the entire chassis offline.
Solution Approach 2:
The patent changes the parameter of error information representation by creating detailed error logs that include source identification, affected resources, and correlation data. This transformation of raw error data into structured, correlated information enables better error isolation and reduces the impact on system reliability.
3Measurement precision
If comprehensive error logging is implemented across all blade servers to improve debugging capability, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent implements a universal error logging and correlation system that serves multiple functions: individual blade error tracking, resource-level error correlation, automated error source identification, and impact assessment. This multi-functional system improves error detection capability without requiring separate complex systems for each function.
Solution Approach 2:
The patent merges error logging, error correlation, and error analysis functions into a unified system. By combining these functions that previously operated separately across multiple blades, the system achieves comprehensive error detection while reducing overall complexity through consolidation and automated correlation.
Data Source
AI summary
Methods, non-transitory storage medium, and systems for generating an aggregated list of problem conditions associated with blade servers to facilitate efficient debugging thereof. In a blade server environment, each chassis is equipped with a chassis management module and each blade in each chassis is associated with a blade management controller. A data map representing the relationships between the blade servers and the shared resources is utilized by a chassis management module to aggregate and link problem conditions sensed by any of the blade management controllers.