Centralized Logging Framework with Event ID Correlation
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Solution Overview
Problem
In multi-component software systems, diagnosing errors across multiple components is time-consuming and challenging due to the need for manual analysis of log files from various servers and applications, often leading to increased downtime.
Innovation Solution
A centralized logging framework that uses a unique event identifier to link related log events across multiple servers and applications, consolidating logs into a single repository and providing a unified view for administrators through a log viewer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If log files from multiple servers and applications are manually analyzed, then error diagnosis can be performed, but the process becomes time-consuming and complex
Solution Approach 1:
The patent combines log files from multiple servers and applications into a single centralized repository. The logging framework aggregates logs from different sources and correlates them using event identifiers, allowing administrators to view all related log events in one place rather than manually analyzing separate log files across multiple systems.
Solution Approach 2:
The patent introduces a logging framework as an intermediary system between the distributed log sources and the administrator. This framework includes a logging agent that collects logs from various applications and servers, stores them in a centralized repository, and provides correlation capabilities through event identifiers, thereby mediating the complex task of multi-source log analysis.
2Reliability
If log files from multiple servers and applications are manually analyzed, then error diagnosis can be performed, but the complexity of troubleshooting increases
Solution Approach 1:
The patent combines log files from multiple servers and applications into a single centralized repository. The logging framework aggregates logs from different sources and correlates them using event identifiers, allowing administrators to view all related log events in one place rather than manually analyzing separate log files across multiple systems.
Solution Approach 2:
The patent changes the organizational parameter of log files from distributed separate files to a centralized structured repository. By introducing event identifiers as a correlating parameter, the system transforms uncorrelated log entries into linked event sequences, reducing the complexity of tracing errors across multiple components.
3Productivity
If a centralized logging framework is implemented, then error analysis is streamlined and troubleshooting complexity is reduced, but system infrastructure complexity increases
Solution Approach 1:
The patent introduces a logging framework as an intermediary system between the distributed log sources and the administrator. This framework includes a logging agent that collects logs from various applications and servers, stores them in a centralized repository, and provides correlation capabilities through event identifiers, thereby mediating the complex task of multi-source log analysis.
Solution Approach 2:
The patent creates a universal logging framework that can handle logs from multiple different applications and servers through a single standardized interface. The logging agent and centralized repository are designed to be application-agnostic, accepting logs from diverse sources and providing unified correlation and analysis capabilities across the entire system.
Data Source
AI summary
A system comprising one or more processors executing a first process and a second process, a memory storing log information for the first process and the second process, and one or more logging components, executing on the one or more processors. The one or more logging components are configured to identify a first log event associated with the first process, generate an event identifier (ID) based on the first log event, transfer the event ID to the second process, identify a second log event associated with the second process and based on the first log event, and associate the event ID with the second log event in the memory.


