# AWR-001-LAB1 — Kubernetes/Kafka use-not-now decision

This lab is offline, deterministic, and synthetic. It makes no network call and changes no infrastructure.

1. Choose a fixture from `fixtures/FIXTURE_BINDINGS.json`.
2. Copy its `kubernetes` and `kafka` evidence objects exactly into the matching records in `evidence/decision_matrix.template.json`.
3. Choose a visible state independently for each row; write your own rationale, review date, and stop/pivot trigger.
4. Run `python run_checks.py evidence/decision_matrix.template.json`.

The checker validates evidence consistency, not a hidden answer key. Start with the baseline, diagnose each mutation, and finish with `transfer/transfer_fixture.json`. Fixture thresholds are local synthetic DESIGN values, not vendor recommendations.