Summary

Reflecting on our journey from Chapter 11 onward, with the assistance of ChatGPT, we began programming the first line of C++ code on ESP32. We collected DHT11 sensor data, connected it to our home Wi-Fi network, and accessed and published the sensor data to the AWS cloud. We created multiple tasks in the AWS cloud to handle abnormal events and stored the sensor data for future queries. Finally, we completed the integration of ThingsBoard to ingest data from the AWS cloud and created a real-time dashboard to display the dynamic data reported by the ESP32!

By now, you should be able to observe your sensor’s real-time data on the dashboard! It truly is a long journey for such a tiny packet of data, with several bytes flying from an ESP32 board on your table, crossing the Internet, arriving at AWS, and finally showing their meaningful value on a commercial-grade dashboard. Among these elements in this journey, the most challenging part is programming C++ code on the ESP32...