Unified Cluster Debugger for Multi-Node Log Analysis
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Solution Overview
Problem
Existing cluster network debugging tools lack a unified interface that considers a full set of logs and system information, making it difficult for vendors to diagnose and address issues across the entire network effectively.
Innovation Solution
A single product suite with a single interface that collects and analyzes support bundles from all nodes in a cluster network, using a coordinator-worker design for scalable information gathering and a multi-container service pod for centralized debugging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple separate debugging tools and interfaces are used for different nodes, then specific problem areas can be diagnosed, but the complexity of the debugging process increases and a unified view of the entire network cannot be achieved
Solution Approach 1:
The patent combines multiple separate debugging tools and interfaces into a single unified debugging tool that can access and analyze system information from all nodes in the distributed system. This single tool merges the functionality of previous separate tools, allowing vendors to diagnose issues across the entire network through one interface rather than multiple separate interfaces, thereby reducing debugging complexity while maintaining comprehensive diagnostic capability
Solution Approach 2:
The debugging tool is designed with universal functionality to handle multiple types of system information and debugging tasks across different nodes. It can access process information, system logs, configuration data, and other relevant information from any node in the distributed system, making it a multi-functional tool that replaces several specialized tools while maintaining the ability to diagnose specific problem areas
2Loss of information
If comprehensive system information is collected from all nodes, then a complete debugging view is achieved, but the amount of data transmission and processing increases
Solution Approach 1:
The debugging tool extracts only the relevant system information needed for debugging from each node, rather than collecting all possible data. It selectively retrieves process information, system logs, and configuration data that are specifically useful for diagnosing issues, filtering out unnecessary information to reduce data volume while maintaining information completeness for effective debugging
Solution Approach 2:
The tool performs preliminary filtering and organization of system information at the source nodes before transmission. It pre-processes the data by identifying and extracting only the debugging-relevant information, structuring it in a standardized format, and preparing it for efficient transmission to the vendor's system, thereby reducing the burden of data transmission and processing
3Ease of operation
If a single unified interface is implemented for debugging, then ease of operation improves, but the security vulnerabilities in multi-node systems may increase
Solution Approach 1:
The debugging tool acts as an intermediary between the vendor and the distributed system nodes. It provides a controlled interface that allows the vendor to access system information from multiple nodes through a single unified interface, while the intermediary nature of the tool enables implementation of security measures such as authentication, authorization, and data encryption to protect against security vulnerabilities during information gathering and transmission
Data Source
AI summary
A single multi-container service pod that provides a centralized cluster-aware debugger to process support bundle information including log files for around an error event. Debugging support tools include a collector collecting system statistics, system information, and logs for each node to form collected data processed by debugging tools to rectify the error. Log files are generated for the entire cluster system from the logs for each node. A loader processes the log files by decompression and normalization of names and timestamps, and loads the processed log files into a search engine through which support personnel can search for specific logs around the error to quickly find and diagnose component/service issues for debugging using the debugging tools.