Developer log analyzer, spam noise folding, and root-cause story builder. Turn thousands of lines of chaotic error logs into clean, chronological request timelines and instantly pinpoint the true first failure.
Zero external dependencies, instant local execution, zero telemetry.
In cascading production failures (e.g., database connection pool exhaustion triggering hundreds of timeouts across 20 microservices), Log Story identifies the true, chronologically initial failure (FATAL / ERROR).
Flags the exact service, timestamp, and stack trace behind the cascade.
2. 🗜️ Repetition & Noise Folding
Folds repetitive log spam (e.g. 100 identical Connection refused lines) into compact single entries (x100 repeated).
Reduces log volume by 70–90% while preserving critical anomaly details.
3. ⏱️ Correlation ID & Request Story Reconstruction
Automatically correlates logs by request_id, trace_id, correlation_id, or UUIDs across services.
