Log Clustering Based Problem Identification for Online Service Systems

Abstract

Logs play an important role in the maintenance of large-scale online service systems. When an online service fails, engineers need to examine recorded logs to gain insights into the failure and identify the potential problems. Traditionally, engineers perform simple keyword search (such as "error" and "exception") of logs that may be associated with the… (More)
DOI: 10.1145/2889160.2889232

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