Prove it holds under load — before you build it.

Model a system as a topology, simulate the parts you can't stand up, and flood it with a fleet of virtual users. Get correctness, performance and resilience verdicts — and the exact scale where it breaks — with no hardware and no staging environment.

The failures that matter show up at scale, where you can't reach.

A single request looks fine; then a thousand devices reconnect at once, a real-time deadline slips, a queue backs up, and the system that passed every unit test falls over. You can't stand up ten thousand devices, a PLC and a gateway in CI — so simulation models the system, simulates what you don't have, and drives it to the edge so the breaking point is a number on a dashboard, not an incident.

1. Model — describe the system as a topology: who emits, over what transport, to which service. Start from a template or plain English.
2. Simulate — stand up the parts you don't have (a device fleet, a gateway, a PLC) as virtual nodes in a sandbox, and drive the parts you do.
3. Flood — ramp a fleet of actors to peak and hold it, driving your topology at a scale you can't reproduce by hand.
4. Verify — three verdicts (correctness, performance, resilience), per-hop metrics, the scale boundary where it breaks, and an AI read of why.

Simulate the parts you don't have. Hit the parts you do.

Every node is real — a service the fleet actually calls over HTTP, MQTT or WebSocket — or virtual, a stand-in run in the sandbox so you don't need the hardware or the third party. Flip a node from virtual to real as your system comes online, and the same scenario keeps proving the same guarantees.

Part of Zytherum QA — one platform for API testing, self-healing UI tests and security testing, gated on every release by the deploy gate. Request a demo.