RAP Twin — Autonomous Distributed Fabric Simulator & Digital Twin

Architected and Developed by Riaan Attar

Official Website: https://raptwin.seloraos.online/

RAP Twin is a real-time distributed compute and network fabric digital twin engine. It provides high-fidelity simulation of multi-region heterogeneous topologies (InfiniBand, Ethernet, Wi-Fi 7, LTE), autonomous AI workload scheduling, chaos fault-injection, and proactive self-healing fabric operations.

Core Capabilities

Real-time Telemetry: Event-driven Server-Sent Events (SSE) streaming state changes with sub-second latency.
Autonomous Self-Healing: Proactive guardian reconciling fabric partitions, node crashes, and link degradations.
AI Workload Scheduling: Multi-stage DAG job composer matching resource constraints to optimal topology nodes.
Chaos Engineering: Dynamic fault injection, blast radius evaluation, and topology stress testing.
What-If Simulation: Zero-risk fork analysis for capacity planning and node upgrades.

Platform Navigation

GitHub Repository: https://github.com/riaan-attar/raptwin