Zabbix Conference 2014 - Lukas Macura | SHORT TALK: Monitoring Data Analysis

We have a lot of information inside of each monitoring server. It is possible to delete old history and not to take care about it or to analyze it. This project tries the second option. There can be very nice abnormalies or incidents, which are hidden if history is deleted and not analyzed.

Nowadays network technologies can handle very high transfer speeds. It is still more difficult to do network flow analysis because of high speed and the needs of more powerful hardware. Current methods are based mainly on the analyze of data flows and patterns. It is quite impossible to find abnormalities on high speed link, because small change in flows can mean big excesses in incidents. Thesis project focuses on multi criteria analysis of data to be able to predict incidents. Due to this reason system monitoring seems to be good core for it.