Observability applied to a centralized system of IoT edges

This project starts from the study of the observability theory, what really means and what it consists, then we examine the IoT edges and their logs, in order to determine errors and anomalies. We will analyze the most important aspect, the three pillars of observability and the tools we can use. In particular, we examine the concept of logs, metrics and traces. Then we describe the open-source platforms used for analyze and visualize logs attributes and characteristics. For this task we will go to set the Dozzle, Prometheus and Grafana, in order to observe the data in text form and through different kinds of graphs. So we begin with a first analysis of the IoT edges logs, to determine the kinds of messages we have to deal with, to that we observe the content of messages and extract all the important features. After that we are going to set a series of different dashboard, in order to visualize all the extracted attributes, this help us to determine if an edge has errors or anomalies and in general its behavior.