DarkNOC

DarkNOC Twin — 10 simulators, one Reality Twin.

Not a digital twin. A Reality Twin: signals in, models in the middle, agents acting back out — explored as an open concept.

The frame: The Reality Twin closes the loop a digital twin only mirrors. Signals (TMF v5.0, telemetry, RF, CRM) flow in. Compartmental + network-flow models sit in the middle. Agents decide and act back out into ops. Each simulator below is one altitude of that same loop.

The constellation

Ten simulator concepts, all packaged as darknoc-twin-* Atlassian Forge apps. Each runs independently; together they form a bidirectional fabric.

SlugWhat it twinsKey surface
coverage-twinRF coverage + propagationCoverage heatmap, gap detector
crm-sim
(darknoc-twin-crm)
Customer relationship + lifecycleTMF v5.0 CRM signal source
demand-sim
(darknoc-twin-demand)
Subscriber demand + capacityForecast + bottleneck view
growth-launch-sim
(darknoc-twin-growth)
Growth + launch dynamicsSplit-view: network-flow + compartmental model
incident-sim
(darknoc-twin-incident)
Incident detection + escalationLive event timeline
mcx-sim
(darknoc-twin-mcx)
Mission-critical voice/data flow14-node network visualisation
oss-ran-simOSS-side RAN operationsPerformance + config drift
security-breach-sim
(darknoc-twin-security)
Security operations centreBreach replay + containment
telemetry-sim
(darknoc-twin-telemetry)
Telemetry ingestion + alertingStream replay + threshold tuning
core-prov-simCore network provisioningTenant + service activation

The cascade

The differentiator of this concept is that the sims are wired into each other. The output of one is the input of another.

  • Three sims act as data providers: coverage-twin, demand-sim, telemetry-sim.
  • incident-sim consumes the three providers.
  • security-breach-sim is the hub — consumes all five upstream sims.
  • growth-launch-sim consumes crm-sim via TMF APIs.
  • Push channel: security-breach-sim → incident-sim via incident-feed.

Common features

Bidirectional sync

A change in one split-view reflects immediately in the others.

Compartmental models

Adjustable flow rates across each lifecycle (awareness, consideration, subscription, churn, reactivation).

Real-time KPIs

Per-sim KPI strip: subscribers, pipeline, at-risk, MRR-equivalents.

Time control

Simulation speed 1× to 10×, scrubbable.

Conversational query

Agent interface for ad-hoc analysis and what-ifs.

Forge-hosted

Each sim runs as an independent Atlassian Forge app.

Why the concept matters

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