Log Analysis System for Replication Error Detection
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Solution Overview
Problem
Manually analyzing logs of computing programs is a tedious, time-intensive process that slows down development cycles, increases customer dissatisfaction, and incurs costs due to prolonged downtimes, especially during replication when errors occur.
Innovation Solution
A Log and Development System (LDS) that identifies errors in log files by integrating with replication management systems, providing a user interface for selecting and analyzing multiple log files, performing formatting and search operations to simplify the debugging process, and minimizing downtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual log analysis is performed, then developers can identify errors, but the process becomes time-intensive and resource-draining
Solution Approach 1:
The patent introduces an automated log analysis system that acts as an intermediary between the log files and developers. This system automatically parses, searches, and analyzes log files to identify errors, eliminating the need for developers to manually examine logs while maintaining high accuracy in error identification.
Solution Approach 2:
The patent replaces the mechanical manual process of log analysis with an automated computational system. The system uses software algorithms to parse, search, and analyze log files, substituting human manual labor with automated mechanical processes that are faster and more efficient.
2Reliability
If systems are paused for replication, then data consistency is maintained, but downtime increases when errors occur
Solution Approach 1:
The patent implements preliminary error detection by continuously analyzing logs during replication operations. The system identifies potential errors before they cause system failures, allowing for proactive intervention that maintains data consistency while minimizing actual downtime by preventing errors from escalating.
Solution Approach 2:
The patent establishes a feedback loop where the log analysis system continuously monitors replication operations, detects anomalies, and provides real-time alerts to operators. This feedback mechanism enables quick response to issues, maintaining system reliability while reducing the duration of any necessary system pauses.
3Measurement precision
If multiple log files are analyzed manually, then comprehensive error detection is achieved, but the complexity of the task increases
Solution Approach 1:
The patent merges multiple log files into a unified analysis process. The system simultaneously parses and correlates entries across multiple log files, presenting integrated results to users. This combining approach maintains comprehensive error detection while simplifying the user experience by eliminating the need to manually coordinate analysis across separate files.
Solution Approach 2:
The patent creates a universal log analysis system that can handle multiple log file formats and sources through a single interface. The system is designed to be multi-functional, accommodating different log structures, time formats, and file types while providing consistent analysis capabilities across all inputs.
Data Source
AI summary
Various embodiments for a replication assistant and log analyzer system are described herein. An embodiment operates by receiving a selection of a plurality of log files generated by an application. A query is received on the plurality of log files, the query comprising one or more terms. The plurality of log files are searched for the one or more terms corresponding to the query. A result of the searching is generated for display, the result comprising: a first indicator as to which of the plurality of log entries of which of the plurality of log files include the one or more terms, and a second indicator as to which of the different components of the application each of the log entries correspond. The result including is displayed, wherein the log entries are sorted by the timestamp of the log entries across the plurality of log files.