SystemSketch is a modular system design, simulation, and analysis platform that helps developers model, stress-test, and reason about complex systems before they fail in the real world.
This project focuses on clarity over hype and logic over assumptions. Instead of static diagrams and vague discussions, SystemSketch turns system design into something executable and observable.
- Overview
- Key Features
- Architecture
- Tech Stack
- Installation
- Usage
- Simulation Flow
- Auto-Scaling Logic
- Suggestions Engine
- Configuration
- Limitations
- Future Improvements
- Contributing
- License
SystemSketch allows developers to simulate system behavior under varying load, traffic, and failure conditions.
It provides insights into bottlenecks, breaking points, and scaling behavior without touching production infrastructure.
This is not a diagramming tool.
This is system thinking backed by execution.
- Modular and extensible architecture
- Load and traffic simulation
- System collapse and recovery modeling
- Auto-scaling decision logic
- Centralized state management
- Rule-based suggestion engine
- Hackathon-ready with real-world potential
SystemSketch follows a logic-first modular architecture:
- Simulation Layer – Models system behavior under stress
- Scaling Layer – Reacts to metrics and adjusts capacity
- Analysis Layer – Evaluates outcomes and bottlenecks
- Suggestion Layer – Recommends improvements
- State Layer – Maintains global system state
Each layer is independent but interoperable.
- Frontend: Next.js, React
- State Management: Zustand
- Styling: Tailwind CSS
- Simulation Logic: Custom JavaScript modules
- Auth: Mock / fake authentication
- Deployment: Vercel
No unnecessary libraries. Every dependency has a purpose.
Clone the repository:
git clone https://github.com/Yash-vs9/SysDes.git
cd SysDesInstall dependencies:
npm installRun the development server:
npm run devOpen http://localhost:3000 in your browser.
SystemSketch is designed to be used iteratively. You define constraints, run simulations, observe behavior, and refine the system based on evidence — not assumptions.
- Configure initial system parameters such as load, traffic rate, and capacity limits.
- Start the simulation to inject traffic into the system.
- Monitor how the system responds under increasing or fluctuating load.
- Observe scaling actions and failure points in real time.
- Review generated insights and recommendations.
- Adjust parameters and rerun simulations as needed.
This loop is intentional. System design is never one-and-done.
The simulation follows a deterministic and transparent execution flow:
- System constraints are initialized.
- Traffic and load patterns are applied.
- Resource utilization metrics are continuously evaluated.
- Auto-scaling rules are triggered when thresholds are crossed.
- The system either stabilizes or degrades based on configuration.
- Final state data is passed to the analysis layer.
Every state transition is explicit and traceable.
Auto-scaling in SystemSketch is rule-driven, not probabilistic.
Scaling decisions are based on:
- Load thresholds
- Resource utilization levels
- Response time limits
- Cool-down intervals
Scaling actions include:
- Horizontal scale-up
- Scale-down to reduce over-provisioning
- Failure signaling when limits are exceeded
All rules are configurable and intentionally simple to avoid opaque behavior.
The suggestions engine evaluates simulation outcomes and identifies inefficiencies.
It analyzes:
- Repeated failure patterns
- Delayed scaling responses
- Resource underutilization
- Bottleneck persistence
Based on this analysis, it generates concrete system-level recommendations such as:
- Adjusting scaling thresholds
- Increasing baseline capacity
- Modifying traffic handling strategies
No generic advice. Only data-backed suggestions.
System behavior can be customized through configuration parameters, including:
- Maximum and minimum capacity limits
- Load and traffic intensity
- Scaling thresholds
- Simulation duration and step size
These parameters allow SystemSketch to adapt to different system models without code changes.
SystemSketch is a simulation and analysis tool, not a production monitoring system.
Current limitations include:
- No live cloud or infrastructure integration
- Simplified failure modeling
- Approximate performance metrics
Use it to reason about systems, not to replace real-world observability tools.
Planned and potential enhancements include:
- Visual system graph editor
- Real-time performance dashboards
- Support for multiple scaling strategies
- Plugin-based simulation modules
- CI/CD pipeline stress testing
The architecture is built to support growth without rewrites.
Contributions are expected to prioritize:
- Code clarity
- Logical consistency
- Minimal complexity
Before submitting a pull request:
- Open an issue describing the change.
- Ensure new logic is well-documented.
- Avoid introducing unnecessary dependencies.
Quality > Quantity.
This project is licensed under the MIT License - see the LICENSE file for details.