System and Method for Deterministic Incident Resolution
Direct excerpts presented in technical specification format. This page emphasizes the deterministic linkage between runtime telemetry and version control artifacts, including validation gates, dual-lane ingestion, and a highlighted claim restricting real-time machine learning inference.
A computer-implemented method for linking runtime telemetry errors to version control changes using a deterministic matching engine. Unlike probabilistic models, the system generates a "Verified Artifact Signature" from stack traces and correlates them with "Resolution Artifacts" (Pull Requests) using strict validation gates.
Distributed software systems generate telemetry data that is difficult to correlate with code changes. Existing approaches rely on:
- Manual Linking: Developers manually updating tickets (error-prone).
- Probabilistic AI: LLMs guessing the root cause (hallucination risk).
The present invention solves this by introducing a Validation Orchestrator that mathematically verifies if a code change resolved an error based on pre-merge vs. post-merge error rates.
Illustrating the separation of "Historical Batch Ingestion" (Lane 1) and "Real-Time Webhooks" (Lane 2) feeding a shared Normalization Engine.
The excerpts above are presented for technical review and product differentiation. For the full filing, refer to the downloadable specification.