Self-Measurement Without Central Observability
When your monitoring service is unreachable, who monitors the monitors? Edge systems must detect their own anomalies, assess their own health, and maintain fleet-wide awareness through gossip protocols—all without phoning home. This article develops lightweight statistical approaches for on-device anomaly detection, Bayesian methods for distributed health inference, and the observability constraint sequence that prioritizes what to measure when resources are scarce.