Scalable Debugging Framework for Data Centers

This technical report outlines a comprehensive debug framework intended for improving reliability in modern data centers, emphasizing the need for effective debugging across the entire product lifecycle. As cloud and data center infrastructures grow in scale and complexity, conventional debugging practices prove inadequate for identifying issues in real-world operations. The report details a modular and secure methodology that supports design-time validation and in-field diagnostics, integrating hardware and software co-debugging approaches. It discusses the importance of addressing debugging challenges specific to large-scale production environments, including increased failure rates and operational constraints. Furthermore, it highlights the need for interoperability and security in remote diagnostics through the use of standardized protocols and modular technologies. It reviews existing industry approaches and their limitations, reinforcing the necessity for a unified framework that offers comprehensive visibility across all system layers. This framework aims to enhance the reliability and performance of AI-enabled data center systems.