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:
- How to implement an ML powered log analysis system
- How to use the collected information for the Capacity Planning of your infrastructure
- How to detect anomalies from logs and perform automatic remediation actions to prevent failures
Pietro Tiberi, IT Manager, Banca d’Italia
Marco Capotosto, IT Architect, Banca d’Italia
Topics: AI/ML/DL, Capacity planning
Time and Day: 9:45AM Wednesday, February 12