In this session, Pietro Tiberi and Marco Capotosto of Banca d’Italia will present a case study of their production implementation of a log analysis system based on ELK (Elastic Search, Logstash and Kibana).
Using Machine Learning (ML) algorithms on top of an ELK stack, its team was able to gather capacity planning information and catch anomalies from log analysis. Taking it a step further, its system also performs automatic remediation actions to prevent future failures.
Join this session to learn:
Pietro Tiberi, IT Manager, Banca d’Italia
Marco Capotosto, IT Architect, Banca d’Italia
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