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Analyzing raw log files to find execution anomalies
Published on Dec 08, 2017953 Views
Anomaly detection (a.k.a. outlier detection) is the identification of events that do not conform to an expected pattern in a dataset. When applied to monitoring modern, complex IT systems, it keeps tr
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Chapter list
Analyzing raw log files to find execution anomalies00:00
Overview00:22
Anomaly detection00:47
Anomaly detection - challenges03:05
General streaming algorithm05:23
Log file analysis06:26
Algorithm08:08
Pipeline09:11
Algorithm parameters10:36
Anomaly wxplanation11:59
Evaluation13:10
Evaluation - synthetic data13:58
Evaluation - web-server logs15:33
Future work16:29