Why can I not trace a production failure that crossed a message queue?

Distributed tracing assumes a connected span graph, but real microservice architectures route substantial traffic through message queues, event streams, and async callbacks that break span propagation. When a failure originates downstream of a queue boundary, existing observability tools see only disconnected fragments and cannot establish causation. Recent RCA research on production microservice systems explicitly names these async blind spots as the primary failure mode of current tooling, and a 2025 CNCF survey found 78 percent of organizations running microservices identified observability gaps as their top operational challenge. Teams in queue-heavy architectures end up correlating log timestamps manually to find the source of an outage. No production-grade tool closes the gap across heterogeneous transports.