From Alert Storms to Root Cause Candidates: A Four-Layer Technical Breakdown of AIOps Implementation

Following the alert lifecycle, the article breaks AIOps into four layers—detection, convergence, diagnosis, and remediation—and discusses the engineering implementation approaches and known boundaries of each layer. The detection layer replaces fixed thresholds with dynamic baselines; the convergence layer reduces noise through five mechanisms: deduplication, correlation aggregation, debouncing, time suppression, and dependency suppression. When topology data is complete, achieving overall noise reduction of over 70% is a common level. The diagnosis layer emphasizes unified modeling and multi-agent collaboration, outputting root cause candidates plus evidence chains rather than definitive judgments; when evidence is insufficient, it conservatively provides Top-K directions and flags missing evidence.