Telemetry schema checks for coding agent changes

Telemetry schema checks help teams detect observability regressions introduced by coding-agent or developer changes, such as renamed attributes, unbounded metric dimensions, or sensitive data in logs that may not affect application behavior but can break dashboards and alerts after deployment. Building on OpenTelemetry semantic conventions, organizations should maintain versioned local schemas defining signal names, attribute types, units, privacy status, cardinality limits, and required fields, then validate deterministic test telemetry before export. Checks should cover success and error paths, normalize expected variable values, reject unknown or unsafe fields, and use synthetic sensitive-looking data to test protections at the earliest practical instrumentation layer. Coding agents should receive explicit requirements for expected signals, schema updates, test commands, consumer justification, and cardinality bounds, while automated review can flag instrumentation changes lacking schema, fixture, or privacy evidence. CI reports should clearly identify added, removed, and changed telemetry fields with redacted examples and workload sources, and intentional breaking changes should be coordinated with dashboard, alert, and retention owners before temporary compatibility aliases are retired.

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