Diagnostic Instrumentation Framework for Server Data Management
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Solution Overview
Problem
Complex application servers face challenges in managing diagnostic data efficiently, leading to information overload and performance issues due to the generation, collection, and analysis of large volumes of diagnostic data in production environments.
Innovation Solution
A diagnostic framework that includes components like Data Creators, Collectors, Archives, Watch & Notification systems, and Accessors to monitor, collect, archive, and provide access to diagnostic data, with features such as instrumentation, metadata-based selection of debug points, and automated monitoring to reduce data volume and improve analysis efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If diagnostic data collection is enabled to monitor server software, then diagnostic capability is improved, but information overload and performance impact occur
Solution Approach 1:
The patent extracts only the necessary diagnostic information by enabling diagnostic functions selectively based on configured criteria. The system identifies specific diagnostic points and conditions, then extracts only data relevant to those points, filtering out unnecessary diagnostic information to reduce volume while maintaining monitoring capability.
Solution Approach 2:
The patent applies local quality by enabling diagnostic functions at specific locations (diagnostic points) within the server software rather than uniformly across all operations. Each diagnostic point can be independently configured with specific criteria, allowing targeted data collection only where and when needed, reducing overall data volume while maintaining reliable monitoring at critical points.
2Reliability
If diagnostic functions are enabled continuously, then monitoring coverage is improved, but server performance deteriorates
Solution Approach 1:
The patent implements dynamics by allowing the diagnostic function enablement state to change based on configured criteria and conditions. The system can dynamically enable or disable diagnostic functions at different diagnostic points based on real-time server state, workload conditions, or configured thresholds, maintaining monitoring coverage when needed while improving performance when diagnostic functions are disabled.
Solution Approach 2:
The patent applies partial action by enabling diagnostic functions only at specific diagnostic points rather than all possible monitoring locations. The system selectively activates diagnostic capabilities based on configured priorities and criteria, providing adequate monitoring coverage at critical points while avoiding the performance overhead of continuous full-monitoring mode.
3Loss of information
If all diagnostic data is collected and archived, then analysis completeness is improved, but data management complexity increases
Solution Approach 1:
The patent segments diagnostic data management by organizing collected data into distinct diagnostic points and categories. Each diagnostic point maintains its own data structure and archiving mechanism, allowing systematic organization of potentially large volumes of data. This segmentation enables targeted retrieval and analysis of specific diagnostic information without managing a monolithic data structure, reducing overall complexity.
Solution Approach 2:
The patent applies preliminary action by pre-configuring diagnostic points with specific criteria and data collection rules before server operation. The system pre-establishes which data should be collected, how it should be organized, and where it should be archived, eliminating the need for complex real-time data management decisions and reducing post-collection processing complexity.
Data Source
AI summary
Diagnostic Instrumentation system can use diagnostic monitors. The diagnostic monitors can be indicated using instrumentation at class loading time. The diagnostic monitors can have associated diagnostic functions which can be enabled or disenabled while the server software is running.