NEWSROOM

Express Computer: Bert Hooyman - Observability is king

First, the basics. Observability is a measure of how well the internal states of a system can be inferred from knowledge of its external outputs . The original concept was introduced in 1960, in the context of linear dynamic systems. We won’t go into the formal proofs for observability of linear time-varying systems here. As observability is based on system outputs, we don’t need to interfere or interact with a system to properly observe it. We only have to consider the outputs of the system. Examples of output include logs, traces, and metrics.

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