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Log clustering based problem identification for online service systems
2016
Proceedings of the 38th International Conference on Software Engineering Companion - ICSE '16
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 failures. Such an approach is often time consuming and error prone. Through our collaboration with Microsoft service product teams, we propose
doi:10.1145/2889160.2889232
dblp:conf/icse/LinZLZC16
fatcat:ttq5hwlfnrdw3kygce5vb4xiwu