Device Tree-Aware Diagnostics Framework for Portable and Scalable Platform Health Monitoring

Abstract

Contemporary server platforms exhibit significant hardware diversity in communication interfaces, including I2C, I3C, SPI, and eSPI, traditionally requiring hardcoded board-specific diagnostics implementations that introduce substantial technical debt through reduced portability and increased maintenance burden. Using the flattened device tree standard and the libfdt library, the Device Tree-Aware Diagnostics Framework overcomes these constraints by dynamically extracting platform-specific data at runtime, letting diagnostics applications run across several hardware setups free of adjustment. Three main subsystems make up the framework architecture: an interface abstraction level offering uniform access to Heterogeneous communication buses and a fault detection engine running configurable health monitoring algorithms. Deployment across multiple platform variants demonstrates enhanced portability through the elimination of platform-specific code, improved maintainability via reduced cyclomatic complexity, and negligible performance overhead during diagnostic operations. The framework establishes a practical solution for scalable platform health monitoring in heterogeneous computing environments while promoting declarative hardware description methodologies that separate configuration from operational logic.