Abstract
For large distributed systems, it can be difficult to connect isolated types of data across multiple data logs, as well as to determine correlations among the data logs in order to perform root cause analysis during service outages such that a scope of damage can be assessed. Presented herein is a mechanism to correlate distributed data logs in order to perform root cause analysis and scope assessment. The mechanism may be utilized to analyze and resolve issues in large, complex distributed and/or cloud systems that generate high volumes of data logs.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Ma, Xueqiang (Sherman), "A MECHANISM TO CORRELATE DISTRIBUTED LOGS TO PERFORM ROOT CAUSE ANALYSIS AND SCOPE ASSESSMENT", Technical Disclosure Commons, (March 14, 2023)
https://www.tdcommons.org/dpubs_series/5744