
Every network is built to a plan, but reality starts drifting from that plan the moment it goes live. Devices get added, configurations change, and exceptions accumulate until no one can say with certainty what the hybrid network looks like or how it behaves. The distance between design and behavior is the intent-reality gap.
This eBook examines what closes that gap. At the center is the mathematically accurate network digital twin: a behaviorally accurate model of the entire network, built from current configuration and state data across every major vendor and cloud. It covers the nine requirements that separate a complete digital twin from a partial one, the three questions to ask any vendor about accuracy, and the four maturity stages on the way to safe autonomous execution.
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