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Observability, failure taxonomies, and feedback loops

Telemetry is not a verdict: production signals become reproducible failures, eval cases, and repairs that pass through the same gate before returning to production.

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Video summary

The ideas to retain

01

Observability and evaluation answer different questions

Observability tries to reconstruct what happened in a running system.

02

Preserve a reproducible system identity first

A failure that cannot be tied to what was actually deployed is difficult to explain.

03

A useful trace preserves causality, not every byte

More data is not automatically better evidence.

Key moments

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  1. Telemetry detects symptoms; the taxonomy localizes failure
  2. A reproducible failure becomes an eval case
  3. Repair → candidate → eval → production closes the loop