This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Catchpoint’s annual report reveals the rise of operational toil, the growing importance of user experience as a reliability metric, and the challenges of balancing speed and stability in a rapidly ...

AI-powered test automation is redefining software reliability by reducing flaky tests, expanding coverage, and accelerating ...

Journal of Reliability Science and Engineering will be published by IOP Publishing and the Institute of Systems Engineering of China Academy of Engineering Physics Journal of Reliability Science and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

A new technical paper titled “Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference” was published by researchers at Rensselaer Polytechnic Institute, ScaleFlux and IBM T.J.

Akshay Gaikwad discusses his approach to reliability engineering, emphasising advanced testing techniques, root cause analysis, and predictive analytics to prevent product failures. He also highlights ...

Sai Raghavendra believes reliability is not about preventing every failure, but about learning from complexity ...