When Signals Break, Systems Still Run — But Meaning Starts to Drift
Modern digital systems rarely fail all at once. They fail quietly first. The signals that describe reality begin to fragment. • logs continue to flow • APIs respond successfully • dashboards still ...

Source: DEV Community
Modern digital systems rarely fail all at once. They fail quietly first. The signals that describe reality begin to fragment. • logs continue to flow • APIs respond successfully • dashboards still show activity From the outside, everything appears to be working. But internally, the system has already begun to drift. Signals Define System Reality Digital systems do not operate directly on raw events. They operate on signals. Examples include: • events emitted by services • identity markers attached to requests • telemetry generated across layers • logs describing system state • data moving through pipelines These signals form the internal representation of reality. They determine what systems can observe, process, and act upon. If signals remain coherent → systems remain interpretable If signals fragment → systems continue running, but become harder to understand What Signal Fragmentation Looks Like Signal fragmentation does not look like failure. It appears as subtle inconsistencies ac