In highly distributed blockchain ecosystems, pinning down the origin of an incident is like searching for a needle in a haystack without a magnet.

Operators face paralyzing uncertainty: a single node or smart contract failure can ripple across the network, yet collective visibility remains opaque.

This persistent diagnostic blindness threatens timely remediation, disrupts users and dApp partners, and erodes confidence in what should be a resilient infrastructure.

Decentralized networks lack holistic and standardized telemetry, making it hard to correlate symptoms across heterogeneous nodes and software stacks.

Most monitoring is local or siloed; there is no widely adopted protocol for secure, privacy-preserving incident reporting and collaborative debugging across the network.

Conventional monitoring tools focus on individual nodes or use ad-hoc dashboards, which are insufficient for coordinated, privacy-aware insight.

Few, if any, solutions enable secure cross-node sharing of forensic data or collective root cause analysis.