Motivation: Implement ByteByteGo System Design problems to enhance my System Design Knowledge and learn Go at the same time.

Goal: Implement different rate limiting algorithms, expose a backend API, and visualize traffic throttling via a React UI.

• Fixed Window - Easy to implement; but bursty at window edges
• Sliding Window - More accurate; needs atomic ops(Lua in Redis)
• Token Bucket - Smooth traffic, allows bursts.

flowchart LR
    UI[React UI] --> | GET /api/allow?user=123 | API(Go HTTP API)
    API -->| INCR / EVAL | Redis[(Redis)]
    Redis --> API
    API -->| JSON | UI

sequenceDiagram
    participant UI
    participant API
    participant Redis
    UI->>API: GET /api/allow?user=U123
    API->>Redis: EVAL sliding_window.lua
    Redis-->>API: {count, resetIn}
    API-->>UI: {allowed:true, count:3, resetIn:4200}