Monitoring Time-Series IoT Device Data

Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. It enables trend analysis, anomaly detection, and predictive analytics, empowering businesses to optimize performance and make data-driven decisions. Thanks to technological advancements and the accessibility of open-source tools, gathering and analyzing data from IoT devices has become easier than ever before.

In this tutorial, we will guide you through the process of setting up a monitoring system for IoT device data. We will use historical electricity consumption data from some European countries, captured at a 15-minute resolution. The data is sent to an MQTT-compatible message broker called Mosquitto, and then channeled to QuestDB through Telegraf, a highly efficient data collector. To visualize the results, we will connect Grafana to QuestDB using its Postgres interface.

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