Self-Healing Architecture.
Zero Downtime.
Multi-agent causal reasoning graph on FalkorDB GraphBLAS matrix engine. Three autonomous agents (Recon, Historian, Executor) traverse causal dependencies, isolate breaking commits against ADRs, and reinforce self-learning runbooks.
1. Cascading Timeout & Breaking Commit
4-hop upstream GraphBLAS traversal isolates commit 8f92a1c violating ADR-002, triggering automated rollback.
2. Bus Factor & ADR Governance Audit
Computes GraphBLAS in-degree centrality, isolates SPoF (fraud-scorer Bus Factor = 1), and drafts governance.
3. Cross-Session Procedural Memory
Recalls past incident INC-2025-104 and reinforces runbook remediation confidence from 0.95 to 0.99.
4. Chaos Failure Injection & Auto-Heal
Injects live microservice latency (p99 4,200ms) into org_brain, trips circuit breaker, and verifies sub-5s self-healing.
From live alert trigger to causal graph remediation.
Four coordinated stages engineered to eliminate developer alert fatigue, isolate root causes in milliseconds, and maintain self-learning memory.
Line-Rate Graph Ingestion
Continuous OpenTelemetry distributed trace ingestion updating service dependencies, error states, and p99 latencies directly in org_brain.
Causal Blast-Radius Traversal
Variable-length GraphBLAS matrix multiplications up to 4 hops in < 0.4ms to isolate upstream cascading failure origins with zero SQL joins.
ADR Governance & SPoF
Calculates in-degree centrality across company entities, detects architecture decision record breaches, and maps code commit ownership.
Procedural Memory Reinforcement
Cross-session episodic memory in procedural_memory. Matches symptom fingerprints to past incident runbooks with self-learning confidence weights.