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InfoQ Homepage Presentations Fast Log Analysis by Automatically Parsing Heterogeneous Log

Fast Log Analysis by Automatically Parsing Heterogeneous Log



Biplob Debnath & William Dennis present a solution inspired by the unsupervised machine learning techniques for automatically generating regular expressions (RegEx) rules from a set of logs with no (or minimal) human involvement. They also demo how to integrate the solution with the popular Elasticsearch-Logstash-Kibana (ELK) stack to analyze logs collected from the real-world applications.


Biplob Debnath is a researcher at NEC Labs. His works focus on applying ML and AI techniques for solving real-world problems. His works on video and log analytics ships in NEC's commercial products. Will Dennis is a Senior Systems Administrator at NEC Las and has over 25 years of experience in managing, installing, and troubleshooting enterprise computing systems, networks, and software.

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Recorded at:

Sep 24, 2018