CASE STUDY
Self-Service Network Digital Twin Platform
Empowered engineering teams to design, test, and optimize network architectures through an interactive digital twin environment.
Situation
Network engineers and hardware designers required a way to model complete infrastructure environments prior to deployment.
Solution
Built a self-service simulation platform that abstracted complex infrastructure into an interactive modeling environment. The platform functioned as a digital twin of physical network environments.
OUTCOMES
30% bottleneck reduction
simulated fabric performance paths
Reduced decision latency
across infrastructure planning cycles
65% faster iterations
network architecture design cycles
Challenges
Topology
- •Rack modeling gaps
- •Cluster modeling gaps
Visibility
- •Limited packet visibility
Testing
- •Scenario testing complexity
Usability
- •Non-expert interface access
Solutions
01
Visual Topology Modeling
Visual configuration of network topologies (racks, switches, nodes, GPU clusters)
- Enabled graphical infrastructure configuration workflows
- Modeled racks, switches, and GPU clusters visually
- Simplified topology experimentation processes
02
Real-Time Simulation Execution
Real-time simulation execution with packet-level tracing.
- Executed simulations interactively
- Provided packet-level execution visibility
- Enabled rapid iterative experimentation
03
Detailed Telemetry Analytics
Detailed telemetry with latency, throughput, congestion, and failure scenarios.
- Captured latency and throughput telemetry
- Modeled congestion and failure behavior
- Supported infrastructure performance diagnostics
04
Post-Simulation Decision Support
Post-simulation analytics and reporting for decision support.
- Supported engineering decision workflows
- Enabled architecture optimization planning