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HEAL performs automated Root Cause Analysis (RCA) by correlating forensic event data from multiple sources and identifying the key signals that contributed to the incident. 

Once events are correlated, HEAL applies ML-driven causal analysis and graph traversal techniques to trace the origin of the failure. This helps surface the first true causal event — not just the earliest — based on contextual dependencies across services. 

Note: The root cause is not always the first detected event. HEAL uses its internal knowledge graph to resolve complex causal paths accurately. 

 In the incident detail page, scroll to the Root Cause section. You’ll find: 

• A textual explanation of the fault and affected service/instance 
• Recommended investigation steps for triggering the incident 
• A Root Cause Walk diagram (shown below) highlights the primary impacted service and dependency path.