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AI systems can hallucinate, slow down, fail silently, and generate unexpected costs. That’s why observability is essential for every production AI application. In this video, you’ll learn how to monitor and debug LLM-based systems using logging, metrics, tracing, dashboards, and alerts. Topics covered: • Prompt and response logging • Token usage and cost monitoring • Latency tracking • Distributed tracing with OpenTelemetry • Prometheus and Grafana dashboards • Hallucination and quality monitoring • Alerts and incident response • Production AI observability best practices Perfect for software engineers, backend developers, AI engineers, and system design interview preparation. #AI #Observability #LLM #OpenTelemetry #Prometheus #Grafana #SystemDesign #SoftwareEngineering #GenerativeAI #ChatGPT