Beyond Uptime: Why Traditional Monitoring Fails to Catch AI Quality Decay

AI systems often experience 'silent failures' where infrastructure metrics appear healthy while the output quality suffers from drift and hallucinations. Implementing specialized observability is critical for identifying behavioral shifts and ensuring long-term reliability in production environments.