With the introduction of Grafana 8.0, streaming real-time sensor data has become more accessible, particularly through the Grafana Live feature, which utilizes a new streaming API. This advancement simplifies the visualization of data from hardware components like sensors and actuators, which are crucial in robotics and automation for monitoring system behavior and diagnosing potential issues. The application of this feature is demonstrated using an IMU-based sensor system that streams data via the MQTT protocol to a Grafana dashboard, showcasing the utility of Grafana Live's publish-subscribe framework. The setup involves a Raspberry Pi and a Bosch Sensortec BMI160 IMU sensor board, with data transmission facilitated by a Python script and a Mosquitto MQTT broker. By leveraging the Grafana MQTT Datasource plugin, real-time accelerometer and gyroscope data are visualized on a Grafana instance, providing dynamic insights into movement and orientation changes. This capability enhances the monitoring of complex systems, revealing imbalances or anomalies through detailed time-series and timeline visualizations, thus underscoring the potential of Grafana's plugin-based architecture for integrating various data streaming protocols and hardware platforms.