Deep Diagnosis currently troubleshoots only against live, real-time data and has no mechanism to reference its own history of previously executed queries and results when a user asks about an issue that occurred at a past date and time. This enhancement proposes enabling Deep Diagnosis to search prior executed queries and results, including both scheduled (TAF) and user-triggered runs, to identify the closest historical match to a predated issue and surface the associated findings or resolution. Customers investigating issues that are no longer live would benefit from faster root-cause identification without needing external historical data sources.
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Historical Match Lookup Against Past Deep Diagnosis Executions
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