Graphical Log Analysis Tool for Application Error Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems lack an efficient and user-friendly method to analyze log data from distributed computing environments to identify operational errors in software applications, making it difficult for developers to quickly locate and resolve issues.
Innovation Solution
A graphical user interface and log analysis tool that allows users to select specific development environments and applications, retrieve log data, and display it in both raw and modified formats, highlighting operational errors through color coding and reformatting, with optional machine learning for error identification and automatic resolution strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If log data is displayed in raw format only, then data integrity is maintained, but ease of operation deteriorates due to difficulty in identifying errors
Solution Approach 1:
The log data display is segmented into multiple frames: a first frame showing raw log data and a second frame showing modified log data with highlighted errors. This segmentation allows users to view both the original data (maintaining integrity) and the analyzed data (improving ease of error identification) simultaneously in separate visual regions.
Solution Approach 2:
A modified copy of the log data is created and displayed in the second frame, where error patterns are highlighted through color-coding and formatting. This copy preserves the original data structure while adding visual annotations that make error identification easier without altering the source data.
2Device complexity
If manual analysis of raw log data is performed, then data processing simplicity is maintained, but productivity deteriorates due to time-consuming error identification
Solution Approach 1:
The system performs preliminary automated analysis of log data to identify error patterns before displaying the modified view. Error highlighting, color-coding, and pattern recognition are pre-computed and presented to the user, eliminating the need for manual line-by-line analysis and significantly improving error identification speed.
3Ease of operation
If multiple log data views are displayed simultaneously, then ease of operation improves through comparison capability, but device complexity worsens due to additional graphical frames
Solution Approach 1:
The graphical user interface is divided into distinct segments or frames, with the first frame dedicated to raw log data and the second frame dedicated to modified log data. This segmentation allows simultaneous display of multiple views while maintaining a structured, organized interface that is easier to navigate than a single undifferentiated display area.
Data Source
AI summary
A system can be provided that can generate a network connection with a computing environment. The computing environment can include development environments that can execute software applications. The system can generate a graphical user interface for display on a display device and detect a selection of a graphical submit element within the graphical user interface by a user. In response to detecting the selection of the graphical submit element, the system can obtain log data from the computing environment. The system can update a first graphical frame to display the log data in its raw format as received from the computing environment and can update a second graphical frame to display a modified version of the log data that highlights operational errors associated with a software application executing in a development environment. The operational errors can be identified by the system analyzing the log data.