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Observability Practices in AI Engineering: A Complete Guide to LLM Monitoring

Here’s a truth that took me six months to learn the hard way: traditional observability doesn’t work for AI applications. You can have perfect uptime, sub-100ms latency, and zero errors—and your AI product can still be completely broken. Why? Because LLMs fail differently. They don’t throw errors; they confidently hallucinate. They don’t crash; they drift. They don’t timeout; they slowly become…