DATA SCIENCE & SYSTEM SECURITY
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Computer systems generate a huge number of heterogeneous logs which provide rich contextual information about system status and are critical sources for system monitoring and diagnosis. Manually interpreting those logs is not effective, however, due to their large volume and complicated domain-specific syntax and semantic knowledge.
Administrators of most user-facing systems depend on periodic log data to get an idea of the health and status of production applications. Logs report information, which is crucial to diagnose the root cause of complex problems. In this paper, we present a real-time log analysis system called LogLens
