reliability engineering

Explores why AI services fail and how to prevent repeats. Surveys failure modes—data drift, model bias, pipeline breaks, infra outages, prompt/guardrail gaps—then outlines monitoring, incident response, root-cause analysis, SLOs/SLAs, and human-in-the-loop controls to boost reliability and trust.