Automated Log Parser Generation for Scalable Analytics
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Solution Overview
Problem
Conventional log analytics tools face challenges in efficiently collecting and analyzing log records from large-scale computing systems due to their inefficiencies in scaling, manual parser construction, and resource redundancy, requiring significant time and resources from skilled personnel.
Innovation Solution
A method and system that automatically constructs log parsers by identifying variable and non-variable parts within log data, generating regular expressions, and employing a cloud-based or SaaS-based architecture for scalable log analytics, allowing users to configure log collection without detailed knowledge of host locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional log analytics tools are used to collect and analyze log records from large-scale computing systems, then basic log analysis capability is provided, but the system cannot efficiently scale when posed with massive systems involving large numbers of computing systems and applications
Solution Approach 1:
The patent implements a centralized log analytics platform that serves multiple computing systems and applications through a single unified system. The platform uses standardized parsers and analysis components that can handle diverse log formats from different sources, eliminating the need for separate per-host configurations and enabling the system to scale to handle massive numbers of systems efficiently
2Reliability
If conventional per-host log analytics approach is used, then individual host log analysis is achieved, but extensive redundant processing and resource usage occurs due to inability to share resources and analysis components
Solution Approach 1:
The patent merges individual host log analysis capabilities into a centralized platform where multiple hosts share common resources including parsers, analysis algorithms, and processing infrastructure. This consolidation eliminates redundant processing that occurs when each host maintains separate analysis capabilities, reducing overall resource consumption while maintaining analysis accuracy through shared expertise
3Manufacturing precision
If log parsers are manually constructed by skilled personnel, then accurate log parsing is achieved, but significant time and resources are required to build and maintain parsers
Solution Approach 1:
The patent implements automatic parser generation capabilities that allow the system to create and maintain its own parsing components without requiring continuous manual intervention from skilled personnel. The system can automatically adapt to new log formats, generate appropriate parsers, and maintain them as systems evolve, significantly reducing the time and expert resources needed compared to manual construction approaches
Data Source
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AI summary
Disclosed is a system, method, and computer program product for implementing a log analytics method and system that can configure, collect, and analyze log records in an efficient manner. An improved approach has been described to automatically generate a log parser by analysis of the line content of a log. In addition, an efficient approach has been described to extract key-value content from the log content.