Launch operations and reliability readiness¶

Problem¶

The context catalog serves metadata to multiple downstream surfaces — dashboards, the MCP server, the IDE extension — but has no observability into contract health. If schema resolution fails, profile data goes stale, or the AI context payload exceeds size limits, nothing detects or reports the degradation. There is no alerting on catalog staleness or contract-breaking changes, no defined support owner for metadata quality issues, and no incident playbook for diagnosing cross-surface context failures. At public launch scale, a silent catalog regression could cascade into broken dashboards, incorrect AI suggestions, and stale profiling data across every consumer.

Launch operations and reliability readiness¶

Problem¶

Context¶

Possible Solutions¶

Plan¶

Implementation Progress¶

Review Feedback¶