Network Data View Pane for Automated CLI Troubleshooting
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Solution Overview
Problem
Network troubleshooting is complex and inefficient due to reliance on traditional text-based command-line interfaces, requiring manual commands and varied device formats, which is time-consuming and error-prone, especially for junior engineers.
Innovation Solution
A graphical user interface (GUI) based system for network management that includes dynamic data views and drill-down actions, enabling automated network device mapping, troubleshooting, and integration with third-party sources for real-time data retrieval and golden baseline comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional text-based CLI commands are used for network troubleshooting, then network engineers can access device data, but the process becomes time-consuming and error-prone due to manual command execution and data parsing
Solution Approach 1:
The system enables self-service troubleshooting by automatically executing commands, parsing outputs, and generating diagnostic reports without requiring manual intervention from network engineers. The automated troubleshooting process independently collects device data, analyzes configurations, identifies issues, and provides remediation recommendations, freeing engineers from repetitive manual tasks while improving both speed and accuracy.
Solution Approach 2:
The patent replaces the mechanical manual process of CLI command execution and data parsing with an automated computer-based system. The system automatically logs into network devices, executes troubleshooting commands, parses command outputs using pattern recognition algorithms, and generates diagnostic reports, substituting the manual mechanical process with an automated computational system that eliminates human error and significantly reduces troubleshooting time.
2Productivity
If manual CLI commands are executed for each network device, then device data can be collected, but the process requires extensive training and is difficult to share across engineers
Solution Approach 1:
The system provides self-service troubleshooting capabilities that do not require extensive engineer training. The automated system independently executes commands, parses outputs, and generates diagnostic reports, allowing any engineer to perform complex troubleshooting tasks without needing to master numerous CLI commands and parsing techniques. This democratizes troubleshooting expertise across the organization.
Solution Approach 2:
The patent creates a universal troubleshooting platform that can handle multiple network device types, protocols, and troubleshooting scenarios through a single integrated system. The system maintains a library of troubleshooting templates and command parsers that work across different device vendors and models, providing consistent troubleshooting capabilities regardless of the specific network infrastructure, thereby simplifying operation for all engineers.
3Loss of information
If multiple CLI commands are run manually to gather comprehensive network data, then complete diagnostic information can be obtained, but the complexity of managing different device formats increases
Solution Approach 1:
The system extracts and separates the complex data format handling from the troubleshooting process by implementing dedicated parsing modules for each device type and protocol. The automated system extracts relevant diagnostic information from various device formats using predefined patterns and templates, then standardizes the output into a unified diagnostic report structure. This extraction approach maintains complete diagnostic data while eliminating the complexity of manual format management.
Solution Approach 2:
The patent introduces an intermediary layer between raw device data and diagnostic conclusions. The system acts as a mediator that automatically collects data from multiple devices in various formats, standardizes the data through parsing algorithms, correlates information across devices, and presents unified diagnostic results. This intermediary processing layer handles format complexity internally while presenting simplified, complete diagnostic information to engineers.
4Reliability
If junior engineers rely on manufacturer manuals and internal documentation for troubleshooting, then they can learn standard procedures, but the effectiveness varies and extensive training is required
Solution Approach 1:
The system provides self-service troubleshooting that does not require junior engineers to extensively study manufacturer manuals or internal documentation. The automated system independently performs data collection, analysis, and diagnostic reporting, allowing engineers to immediately perform effective troubleshooting without lengthy training periods. The system essentially encodes expert knowledge into automated processes that execute reliably without human intervention.
Solution Approach 2:
The patent implements preliminary action by pre-configuring troubleshooting templates, command libraries, and parsing algorithms that encapsulate expert troubleshooting knowledge. These templates are prepared in advance and automatically applied during troubleshooting operations, eliminating the need for engineers to learn complex procedures on the job. The system performs the intellectual work of troubleshooting preparation beforehand, delivering immediate effective results.
Data Source
AI summary
A system is disclosed for generating a graphical user interface (GUI) for network management automation. The GUI is a data view that provides functionality for monitoring and controlling devices in a network with a single pane of glass display.