Real-world: Automated self-healing -- detect -> root cause -> remediate

Fault Detection and Correlation

Automated self-healing begins when monitoring systems detect service impact through multiple signal types: threshold-based alarms (e.g., cell throughput drops below baseline), ML anomaly detection flagging unusual KPI patterns, and subscriber complaint correlation. Modern fault detection correlates alarms across domains -- a transport link failure triggers RAN alarms, core session drops, and subscriber complaints simultaneously. Event correlation engines reduce alarm storms by grouping related alarms into a single incident, identifying the root alarm versus symptomatic downstream effects.…