In production LLM systems, observability is fundamentally about signal quality, not dashboard aesthetics.
Practitioners need three things:
- Correlation IDs across request spans — trace a single user request end-to-end through your infrastructure
- Selective instrumentation — log only what changes outcomes, not every transaction
- Per-tenant cost metering — know which customers are burning your LLM budget
These patterns hold across production teams I've worked with. They're vendor-agnostic and work at scale.
Read the full synthesis: https://chipper-blancmange-b11fb2.netlify.app
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