Antonio Calero Merello and Laura Fernández Fernández from Grafana Labs provide a detailed guide on monitoring temperature and humidity using Grafana, Raspberry Pi, and various sensors, with a focus on DHT22 and RuuviTag sensors. They explain the process of setting up a Raspberry Pi with a Python application to collect sensor data, which is then containerized using Docker and exposed via an HTTP endpoint for Prometheus to scrape and store in a time-series database. Grafana is utilized to create real-time dashboards for data visualization. The blog outlines the steps to connect sensors to the Raspberry Pi, configure the Grafana stack, and use Prometheus to manage data collection. Additionally, the guide highlights the importance of monitoring environmental conditions for various applications and offers insights into using Grafana's alerting system to receive notifications based on sensor data.