In a data-driven world, industries such as agriculture, mining, and aviation are increasingly utilizing the Internet of Things (IoT) to enhance operational efficiency and innovation. This transformation is facilitated by integrating IoT metrics with advanced observability solutions like Dynatrace, which offers tools such as the Dynatrace OneAgent and an agentless approach leveraging OpenTelemetry for edge-IoT applications. The text delves into how IoT is used in aviation through Automatic Dependent Surveillance-Broadcast (ADS-B) transponders, which transmit flight data in real-time for tracking and monitoring purposes. The document discusses the technical setup of using a Raspberry Pi with a software-defined radio receiver to collect ADS-B data, which is then processed and ingested into Dynatrace for advanced analytics and visualization. By employing the Dynatrace Query Language (DQL), users can parse and analyze data, leading to insights such as flight tracking, aircraft categorization, and distance calculations using the Haversine formula. The integration of IoT data with Dynatrace not only improves real-time monitoring capabilities but also provides actionable insights across various sectors, demonstrating the potential of IoT in driving business value and decision-making.