Part 6: AI Observability, OpenTelemetry GenAI & Continuous Evaluation
Answer-first: Traditional Application Performance Monitoring (APM) tools fail to capture generative AI failure modes because an HTTP 200 response can still contain complete factual hallucinations, toxic responses, or $50.00 runaway token loops. Modern AI Observability implements OpenTelemetry GenAI Semantic Conventions v1.30+, correlating distributed multi-agent traces with token spend, Time-to-First-Token (TTFT), and automated LLM-as-a-Judge evaluation pipelines (Ragas / Phoenix). 📖 Bản tiếng Việt (Vietnamese Edition) | ← Series Hub | Next Chapter: Part 7: AI Security Engineering & DevSecOps → ...