When Your Observability Literally Stops Traffic

A large-scale robotaxi stoppage in China is presented as an example of how failures in distributed software systems can create immediate physical-world consequences, while also revealing limits in conventional observability. Metrics, logs, and traces can detect incidents and help engineers identify likely causes, but they generally cannot reproduce the exact production conditions needed to test and validate a fix reliably. The author argues that teams often rely on staging environments, synthetic traffic, scripts, or recurring incidents, leaving important edge cases unresolved and fixes uncertain. They propose adding “reality” as a fourth pillar alongside metrics, logs, and traces by capturing the actual sequence, timing, and interactions of production traffic for controlled replay. Speedscale is described as a tool for replaying real traffic to reproduce bugs deterministically, test changes safely, and reduce the risk of repeated failures, particularly in systems such as autonomous vehicles where outages can disrupt streets, strand passengers, and undermine public trust.

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