IMPACT2020 | The story of a Bank, a Bot, and an ELK (or how Banca d’Italia used Machine Learning to enable Capacity Planning and Anomaly Resolution) – Pietro Tiberi & Marco Capotosto, Banca d’Italia
IMPACT2020 | Tailored Fit Pricing: How to Manage Workload in a world without Capping – Chris Walker
February 13, 2020
IMPACT2020 | Save MSUs and Reduce Run-Times for Analytics and MXG Reporting – Paul Massengill
February 13, 2020
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
Presented by
Pietro Tiberi, IT Manager, Banca d’Italia
Marco Capotosto, IT Architect, Banca d’Italia
Lazio, Italy
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