IoT Device for Predicting and Identifying Problems in a Datacenter

This article proposes the development of an Arduino-based automation device to monitor ambient sound in a corporate data center in order to anticipate possible problems, reduce damage and minimize losses in the operation and infrastructure of servers and computer network. By identifying anomalies in the audiometric patterns, the device notifies the technical staff responsible through rapid communication mechanisms, alarming them about a possible problem.