System Design Generator
Turn requirements into scalable system designs in seconds
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How would your system handle ten times the traffic it gets today? Could you sketch that answer on a call, with the caching and the queues in the right places? System Design Generator turns a set of requirements into a design that names the components, the data flow and the parts that will break first.
Short answer: System Design Generator turns the requirements you describe into a scalable system design, covering the components, the data flow between them, storage choices, caching, asynchronous work and the bottlenecks the design has to survive.
What is System Design Generator?
System Design Generator is a free tool for designing systems under load. You describe what the system must do and the numbers it must handle, and the output covers the pieces: entry points, services, storage, caching layers, asynchronous work, and how the design behaves when a component fails. It is aimed at planning sessions, design reviews and interview preparation.
Where A System Design Is Needed
Growth that is already visible
Traffic climbing steadily, with the current design creaking in a known place.
New systems with hard numbers
Anything with a stated latency budget, throughput target or availability promise.
Interview preparation
Practising the structure of an answer, then comparing it with your own reasoning.
How Does System Design Generator Work?
- Describe the system and its requirements, including the numbers.
- Pick a model, then set System Type, Scale and Output, then switch on Add Scalability Notes.
- Generate, then work through the design looking for its weakest point.
| Option | What it changes | Suggested value |
|---|---|---|
| Scale | Small, Medium, Large or Enterprise | The scale you must handle within a year |
| Output | Design overview, components and flow, diagram in text or trade off analysis | Components + Flow, then rerun as Trade-off Analysis |
| System Type | Web app, API, backend, distributed, data pipeline and others | Distributed for anything with real scale requirements |
| Style | Simple, Detailed, Best-Practice or Pragmatic | Detailed, since this is where depth is the point |
Stating The Numbers Up Front
A design without numbers is a diagram. Say how many requests per second at peak, how much data you store and how fast it grows, what read to write ratio you expect, and what latency the user notices. Those four figures change almost every choice in the design, and supplying them is the difference between a generic answer and one you can act on.
One Brief, One Design
Take: "a link shortener, 5,000 reads per second at peak, 50 writes per second, redirect must feel instant". The design comes back with a write path storing the mapping, a cache in front of reads because the ratio is heavily skewed, a plan for key generation that avoids collisions, and a note that analytics should be written asynchronously so it never delays a redirect. Change the read to write ratio and the shape of the answer changes with it.
Tip Ask what fails first at twice the stated load. The answer tells you more about the design than any amount of detail about the happy path.
What Reviewers Actually Look For
- ✅ A design proportionate to the numbers, not to fashion
- ✅ Explicit failure behaviour for each dependency
- ✅ One named bottleneck, with a plan for when it arrives
- ✅ Trade offs stated rather than implied
Read the design with those four in mind and you will find its gaps quickly. Other architecture and development tools sit in the coding tools category.
Nothing on EizTools is gated behind a sign up or a usage meter, and a model selector on each page lets you produce a second design for the same brief and compare where they disagree. System Design Generator keeps its own options panel rather than a shared settings box, which is why the dropdowns ask about scale and output shape.
Frequently Asked Questions
Is this useful for interview practice?
Yes. Write your own answer first, then generate one and compare. The differences are where your reasoning has gaps, which is the useful part of the exercise.
How specific should the requirements be?
As specific as you can make them. Peak traffic, data volume, read to write ratio and latency expectations shape the design more than any feature description.
Will it suggest specific technologies?
When Suggest Tech Stack is on. For a first pass, leaving it off keeps the discussion on structure rather than on which database everyone prefers.
Can it design for high availability?
Say the availability target in the prompt and the design will address redundancy and failover. Verify the reasoning yourself, since the cost of those choices is real.
System design rewards thinking about the second order effects, and those are exactly what gets skipped when a design is drawn under time pressure. Having a full proposal to argue with, rather than a blank page, moves the conversation to where it belongs.