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Domain monitoring stops being a simple feature once scheduled scans, worker nodes, stop requests, and partial failures enter the picture.
It is easy to frame domain monitoring as just another product feature, but operationally it behaves more like a job system. Paths are discovered, runs are scheduled, stop requests must be respected, and partial completion has to be stored in a way the UI can explain later.
That means the runtime model has to be deliberate. If the request lifecycle controls too much of the execution path, scans become fragile. If progress is not persisted continuously, run state becomes misleading as soon as something fails halfway through.
The backend has to know which scans are manual, which are scheduled, whether a worker should execute them, and what to do when one page fails out of a longer list.
Users do not care whether a scan loop was cancelled by a request token or by a runtime shutdown. They care that the product either finishes, stops clearly, or tells them exactly which pages were processed before the interruption.
Reliable server behavior makes the feature feel trustworthy. If scans silently freeze or progress numbers drift away from reality, the most polished dashboard still loses credibility. That is why operational handling belongs in the product design conversation, not only in infrastructure notes.