Using Python to design, configure, and measure large-scale networks
summary
AutoNetkit automatically turns a yEd graphml diagram into runnable router configs and emulated labs: it reads the graph with NetworkX + graphml, builds overlay graphs for iBGP/eBGP/OSPF, compiles per-device JSON, renders vendor configs with Mako templates, and pushes them to netkit or VIRL instances via expect/pex. It measures results with collected commands parsed by textFSM parsing and compares paths against NetworkX shortest‑path; Quagga-in-uml runs a router in ~32 MB, and the whole pipeline works end-to-end.
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chapters (10)
- 0:00Start
- 0:22Simon Knight
- 0:41Router Configuration
- 3:48Visio
- 7:34Extensions
- 12:42Basic Network Graph Creation Using the Api
- 13:55Route Reflector
- 19:29Emulated Networks
- 24:03Dijkstra's Shortest Path
- 26:08Questions
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