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Case study of a production-grade chauffeur booking system, covering architecture, security decisions, booking flow, and deployment strategy. Code examples are sanitized for portfolio purposes.

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Booking System – Production Case Study

Overview

This repository documents the design and implementation of a real-world chauffeur booking platform built for a transportation company.

The production system includes instant quotes, multi-step reservations, authentication, admin dashboards, and driver workflows. This case study focuses on architecture and decisions, not sensitive code.


System Architecture

  • Frontend: React + TypeScript
  • Backend: Hono (Edge-first)
  • Platform: Cloudflare Pages
  • Database: SQL (migrations-based)
  • Auth: Session/JWT-based (role-aware)
  • Deployment: CI/CD with environment separation
graph TB
    subgraph Client["Client Layer"]
        Browser["Browser/Mobile App<br/>React + TypeScript"]
    end
    
    subgraph Edge["Edge Backend - Cloudflare"]
        API["Hono API<br/>Request Validation<br/>Auth Middleware"]
        Auth["Authentication<br/>JWT/Session"]
        RateLimit["Rate Limiting<br/>Error Handling"]
    end
    
    subgraph Database["Database Layer"]
        SQL[("SQL Database<br/>Migrations-based<br/>Indexed Tables")]
    end
    
    subgraph Services["Operational Services"]
        Status["Booking Status<br/>Transitions"]
        Admin["Admin Assignment<br/>Workflows"]
        Notify["Driver<br/>Notifications"]
        Audit["Audit<br/>Logging"]
    end
    
    Browser -->|HTTPS/JSON| API
    API --> Auth
    API --> RateLimit
    API -->|Secure Connection| SQL
    SQL -.->|Background Ops| Status
    SQL -.->|Background Ops| Admin
    SQL -.->|Background Ops| Notify
    SQL -.->|Background Ops| Audit
    
    style Client fill:#e1f5ff
    style Edge fill:#fff4e1
    style Database fill:#f0e1ff
    style Services fill:#e1ffe1
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🏗️ System Architecture Overview

The booking system is designed as an edge-first, modular full-stack application optimized for performance, security, and operational clarity.

High-Level Architecture

Client (Browser / Mobile)

  • React + TypeScript frontend
  • Multi-step booking flow
  • Form validation and optimistic UI updates
  • Role-aware routing (Customer / Admin / Driver)

⬇️ HTTPS (JSON APIs)

Edge Backend (Cloudflare Pages + Hono)

  • Lightweight API layer deployed at the edge
  • Request validation and normalization
  • Authentication middleware
  • Business logic orchestration
  • Rate limiting and error handling

⬇️ Secure DB Connection

Database Layer

  • Relational SQL database
  • Migration-based schema management
  • Strict separation of read/write operations
  • Indexed booking and availability tables for fast queries

⬇️ Background Operations

Operational Services

  • Booking status transitions
  • Admin assignment workflows
  • Driver notifications
  • Audit logging for system events

Authentication & Authorization Flow

Role-based access control (RBAC)

Separate permissions for:

  • Customers (booking & history)
  • Admins (pricing, vehicles, assignments)
  • Drivers (assigned trips only)

Session/JWT-based authentication All protected routes enforced server-side

Deployment & Environments

  • Development: Local Vite + mocked services
  • Staging: Production-like environment for validation
  • Production: Edge deployment with environment-isolated secrets

Environment variables are strictly scoped per deployment and never exposed client-side.

Design Principles

  • Edge-first performance
  • Minimal backend surface area
  • Explicit trust boundaries
  • Fail-safe defaults
  • Client safety over convenience

This architecture enables fast booking experiences, secure admin operations, and scalable growth without exposing sensitive business logic.


Core Booking Flow

flowchart LR
    A["1. Service &<br/>Vehicle Selection"] --> B["2. Instant<br/>Pricing Calculation"]
    B --> C["3. Customer Details<br/>& Confirmation"]
    C --> D["4. Admin<br/>Assignment"]
    D --> E["5. Driver<br/>Notification"]
    
    style A fill:#e3f2fd
    style B fill:#fff3e0
    style C fill:#e8f5e9
    style D fill:#fce4ec
    style E fill:#f3e5f5
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Security Considerations

  • Environment-based secrets
  • Role-based access (Admin / Driver / Customer)
  • Input validation & rate limiting
  • Sanitized public endpoints

Code Snippets

API Route Structure

// api/routes/booking.ts
import { Hono } from "hono";

const booking = new Hono();

booking.post("/quote", async (c) => {
  const input = await c.req.json();

  // Validation only — no pricing logic exposed
  if (!input.service || !input.vehicle) {
    return c.json({ error: "Invalid request" }, 400);
  }

  return c.json({
    success: true,
    message: "Quote request accepted",
  });
});

export default booking;

Auth Middleware Pattern

export const requireRole = (role: "admin" | "driver") => {
  return async (c, next) => {
    const user = c.get("user");

    if (!user || user.role !== role) {
      return c.json({ error: "Unauthorized" }, 403);
    }

    await next();
  };
};

Frontend Booking Step Component

type BookingStepProps = {
  onNext: () => void;
};

export function BookingStep({ onNext }: BookingStepProps) {
  return (
    <section>
      <h2>Select Service</h2>
      <button onClick={onNext}>Continue</button>
    </section>
  );
}

What's Not Included (By Design)

  • Production database schema
  • Authentication secrets
  • Payment logic
  • Admin credentials
  • Client-specific business rules

Screenshots

  • Customer booking flow
  • Admin dashboard (redacted)
  • Vehicle management
  • Booking timeline

Lessons Learned

  • Edge deployments reduce latency for quote calculations
  • Explicit role separation simplifies admin logic
  • Sanitizing public demos protects clients and IP

Tech Stack Summary

React · TypeScript · Hono · SQL · Cloudflare · Vite


Author

Yoseph B. Gebremedhin Full Stack Developer – Production systems, not demos

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Case study of a production-grade chauffeur booking system, covering architecture, security decisions, booking flow, and deployment strategy. Code examples are sanitized for portfolio purposes.

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