RAUC is a widely used open-source solution for robust and secure software updates on embedded Linux devices. In 2020, the Yocto/OpenEmbedded layer meta-rauc-community was created to provide demo RAUC integrations for a variety of popular development boards. The goal was to support the embedded Linux community by offering practical, working examples of RAUC in action - helping developers get started quickly.
Since its inception, the layer has tracked and supported the Long Term Support (LTS) releases of the Yocto Project, including Dunfell (April 2020), Kirkstone (April 2022), and Scarthgap (April 2024), alongside active development in the main branch. Structured as a collection of layers tailored to different machine configurations, meta-rauc-community has delivered demo integrations for a wide variety of boards, utilizing their respective BSP layers. These include widely used platforms such as the Raspberry Pi, NXP i.MX6 and i.MX8, Rockchip, Allwinner, STM32MP, and NVIDIA Tegra.
Five years into the project, a significant refactoring effort was launched to address increasing duplication and divergence in the layer’s codebase. The new direction involves consolidating shared logic into a dedicated meta-rauc-community base layer, which will serve as the foundation for all supported machines. This centralization reduces redundancy, simplifies maintenance, and ensures a more sustainable development process.
The ongoing work, currently taking place in the main branch, targets readiness for the upcoming Yocto Project release codenamed Wrynose (expected in 2026). Beyond reducing technical debt, the refactoring will introduce unified testing procedures and streamlined porting guidelines. These enhancements are designed to improve overall consistency across supported hardware platforms and make it easier for contributors and users to extend RAUC support to new machines.
The community's input is highly valued: What best practices should be promoted? What features or improvements would you like to see in meta-rauc-community in the long term? Let’s start a discussion on how this layer can become even more helpful, maintainable, and future-ready - together.
Related topics: