LLMOps Observability: Metrics That Predict Failure
Beyond latency: retrieval precision, faithfulness, cost per successful query, and escalation rate.
LLMOps
Kubernetes
Most dashboards show uptime. Production AI fails on quality and cost.
Metrics that matter
| Metric | Why |
|---|---|
| Retrieval precision@k | Wrong context → confident wrong answers |
| Faithfulness score | Hallucination under load |
| Cost per successful query | Token spend without outcomes |
Instrument at the gateway — not only inside the notebook.
Knowledge Graph