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Telemetry Semantics & Coverage

Whether the telemetry layer is good enough to support proactive cross-system reasoning at all.

1. Which services have gaps in metric coverage?

Audit emitted metrics against expected coverage (USE for resources, RED for request-driven services) and identify services with missing signals.

2. What telemetry blind spots would accelerate root-cause analysis if filled?

Identify blind spots — missing business-level metrics, uncovered infrastructure components, or absent correlation signals (deployment markers, feature flag changes) — that would accelerate root-cause analysis.

3. Are metric labels and naming conventions consistent enough for cross-service correlation?

Assess whether metric labels, naming conventions, and units are consistent enough across services to support cross-service correlation and comparison.