Uploaded October 2022 | Updated September 2026, 1 week ago
Chris Gammell and Mike Szczys from Golioth are monitoring “Thousands of ESP32s” all at the same time! In other words, they talk about device management for ESP-IDF-based devices. Recently, Golioth released an ESP-IDF SDK to make it even easier for users to hook into data services. In this talk, Chris and Mike discuss challenges in creating IoT fleets, various concepts for getting data on and off different devices, and how they were able to quickly create an interface for Espressif users, thanks to the concise design of ESP-IDF. Watch this video if you’d like to learn how to hyper-scale your device fleet and still understand what is happening on each and every device!
Chris Gammell and Mike Szczys from Golioth are monitoring “Thousands of ESP32s” all at the same time! In other words, they talk about device management for ESP-IDF-based devices. Recently, Golioth released an ESP-IDF SDK to make it even easier for users to hook into data services. In this talk, Chris and Mike discuss challenges in creating IoT fleets, various concepts for getting data on and off different devices, and how they were able to quickly create an interface for Espressif users, thanks to the concise design of ESP-IDF. Watch this video if you’d like to learn how to hyper-scale your device fleet and still understand what is happening on each and every device!








—into API calls needed to initialize the data model, encodes them to protobuf messages and stores it in a space-efficient format on the flash.
By design, this allows the application and the data model to be decoupled and stored independently. The repo also includes an IDF component that can read this serialized format and create the data model at runtime. However, the same format is usable across Matter implementations like Matter.js, rs-matter, Matter (CircuitPython) or Arduino Matter, eliminating the need for code generators to be developed for these languages.
The talk will provide an introduction to data models of IoT devices, how Matter approaches the data modeling problem, and how the Data Model Interpreter tools and components work. It will also cover the potential use cases.
Speakers: Dhaval Gujar and Amit Sheth DevCon25 - Runtime Data Model Interpreter for Connected Devices](https://i.ytimg.com/vi/UmZA3k8RDXU/mqdefault.jpg)

