Client Application Log Timeline View for Faster Issue Diagnosis
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Solution Overview
Problem
Existing technologies for collecting and presenting log information for client applications are limited, often omitting less severe log levels and only reporting during serious events, leading to insufficient visibility and inefficient issue diagnosis.
Innovation Solution
A timeline view is presented that includes a time-sorted listing of log events with contextual information, using icons and coloring to distinguish categories and attributes, along with a mini-map view for at-a-glance event volumes, enhancing the review and analysis of client application performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing log collection technology is used, then data storage requirements are reduced, but visibility into application issues is insufficient
Solution Approach 1:
The patent segments log data by organizing it into chronological buckets with hierarchical grouping (application level, module level, component level). This segmentation allows comprehensive log collection without overwhelming storage requirements by structuring data in manageable, organized units that can be efficiently stored and retrieved.
Solution Approach 2:
The patent adds temporal dimension to log presentation by displaying logs in chronological order with time-based buckets. This dimensional transformation converts flat log data into a time-series visualization that enhances visibility into application issues while maintaining efficient storage through structured organization.
2Difficulty of detecting and measuring
If comprehensive log information is collected, then issue diagnosis capability is improved, but time required for review increases
Solution Approach 1:
The patent segments comprehensive log data into hierarchical groups (applications, modules, components) and chronological buckets. This segmentation enables analysts to navigate to specific problem areas quickly rather than reviewing all logs sequentially, significantly reducing review time while maintaining complete diagnostic capability.
Solution Approach 2:
The patent applies local quality by providing detailed log information only where needed through hierarchical navigation. Analysts can drill down into specific applications or time periods to view detailed logs, while getting high-level summaries elsewhere. This selective detail provision reduces overall review time while preserving complete diagnostic capability when needed.
3Measurement precision
If detailed log presentation is provided, then issue identification accuracy is improved, but complexity of the system increases
Solution Approach 1:
The patent uses segmentation to organize detailed log information into hierarchical structures (applications, modules, components) and chronological buckets. This segmentation presents comprehensive details in an organized manner that improves issue identification accuracy while managing system complexity through structured presentation rather than unorganized detail.
Solution Approach 2:
The patent transforms complex log data into a time-based dimensional presentation with chronological buckets and sequential ordering. This dimensional transformation organizes detailed information in a visually manageable format that enhances identification accuracy while reducing the perceived complexity through temporal structure.
Data Source
AI summary
A computing platform may be configured with technology for presenting information about a given runtime session of a given client application in the form of a timeline view comprising a time-sorted listing of line items for log events recorded during the given runtime session, wherein each log event's line item includes (i) timing information, (ii) a textual descriptor log event, and (iii) an indication of one or more contextual values associated with the respective log event.