A Case Study of implementing out of band CPER logs in a Metas AI ML system

In this podcast episode, we explore the critical role of Common Platform Error Records (CPER) in out-of-band error logging for AI systems. The conversation begins with the history of CPER, emphasizing its design to improve error reporting, particularly for uncorrectable errors. We also discuss the current challenges with existing out-of-band methods, which often depend on limited cell logs and vendor-specific tools. CPER emerges as a powerful solution, offering a standardized and flexible format for error information. Through real-world examples and an engaging Q&A, the episode highlights the importance of industry collaboration in embracing CPER to enhance error logging and management in data centers.