LesAiles.uz Preview

LESAILES.UZ

Online Ordering Platform

Order PreviewLive Demo
Chicken Wings
$12.99In Cart
French Fries
$4.99Added
Coca-Cola
$2.99Added

Project Overview

LesAiles.uz is an online ordering system designed to streamline the process of placing food orders at a fast-food restaurant chain. The platform provides customers with a user-friendly interface to browse the menu, customize their orders, and select delivery or pickup options. It combines a high-performance backend with an intuitive frontend to deliver a seamless user experience and ensure reliability during peak order times.

Key Features

User-Friendly Interface

Intuitive design allowing customers to easily browse the menu and customize orders.

Order Management

Real-time order tracking and notifications with backend integration.

Payment Integration

Secure payment gateways supporting multiple payment methods.

Performance Optimization

Caching with Redis for fast menu loading and reduced server load.

Technologies Used

Bun.js

Ultra-fast runtime for server-side logic

Elysia.js

Lightweight and efficient web framework

BullMQ

A distributed job queue for Node.js with advanced features.

TimescaleDB

Time-series database for analytics

Redis

In-memory database for caching

Next.js

A React framework for building server-side rendered (SSR) web applications.

Tailwind CSS

A utility-first CSS framework for rapidly building custom designs.

Shadcn/UI

A component library for building consistent and accessible user interfaces.

Development Process

🏗️

System Architecture

Designed scalable architecture using Bun.js and Elysia.js to handle high-volume order processing.

⚙️

Backend Infrastructure

Implemented order queue system with BullMQ and real-time updates via Redis for order tracking.

🎨

Frontend Development

Built responsive UI with Next.js, Tailwind CSS, and Shadcn/UI for seamless ordering experience.

📊

Data Management

Set up TimescaleDB for order analytics and Redis caching for menu optimization.

Performance Optimization

Implemented caching strategies and load testing to handle peak ordering hours.

🚀

Deployment & Monitoring

Deployed with distributed architecture and set up monitoring for system health.

Project Screenshots

LesAiles.uz Screenshot 1
LesAiles.uz Screenshot 2
LesAiles.uz Screenshot 3
LesAiles.uz Screenshot 4