Analysis and machine learning on logs of the monitoring infrastructure
| Main Authors: | Ozer, Mert, Garrido Bear, Borja |
|---|---|
| Format: | Report Journal |
| Bahasa: | eng |
| Terbitan: |
, 2017
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/1034941 |
Daftar Isi:
- The CERN IT/monitoring team handles around 5000 gigabytes of data every day millions of monitoring events from the CERN data centers and the WLCG sites. Today this data is provided to users through a number of different tools and dashboards. This project aims at exploring with practical examples of new logging, data transport, deployment techniques and applied machine learning in order to extend the current infrastructure and also apply such techniques to IT services and the monitoring service itself.