We have often seen Zabbix used as a simple tool for monitoring network assets as well as Information and Communication Technology (ICT) infrastructure. While this concept is not incorrect, it is equally important to understand that with the advancement of Zabbix versions, more and more functionalities have been made available for other types of monitoring, enabling advanced data analysis and stunning visualizations through new and modern widgets in the frontend layer.
In the third article about Zabbix and exploratory data analysis, we will understand how theories about asymmetry and kurtosis work.
In the previous blog post, we just explored some of the basic statistic concepts to estimate KPIs for a web application response time: in that case, average, median and percentile. Now we must continue our work but this time, analyzing some variances of the collected metrics, considering a certain period.
In this article, I’ll talk about how we can think of new metrics, new use cases, how to support our business and help the company with important results and insights using exploratory data analysis introducing and implementing some data science concepts using only Zabbix.
