https://github.com/almoghindi/sport-tickets
Sport-tickets is a cutting-edge platform for managing sports event tickets, featuring secure authentication, AI-driven recommendations, real-time updates, and efficient order processing. Built with Next.js, React, Redux, react-query, TailwindCSS, Node.js, Express, MongoDB, Kafka, Docker, Kubernetes and Redis, it ensures a seamless user experience.
https://github.com/almoghindi/sport-tickets
ai cicd docker express github-actions google-cloud jwt kafka kubernetes microservices mongodb nextjs nodejs openai-api react react-hooks redis redux stripe typescript
Last synced: 3 months ago
JSON representation
Sport-tickets is a cutting-edge platform for managing sports event tickets, featuring secure authentication, AI-driven recommendations, real-time updates, and efficient order processing. Built with Next.js, React, Redux, react-query, TailwindCSS, Node.js, Express, MongoDB, Kafka, Docker, Kubernetes and Redis, it ensures a seamless user experience.
- Host: GitHub
- URL: https://github.com/almoghindi/sport-tickets
- Owner: almoghindi
- Created: 2024-06-16T11:59:36.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2024-08-30T11:54:19.000Z (almost 2 years ago)
- Last Synced: 2026-01-03T12:27:10.703Z (6 months ago)
- Topics: ai, cicd, docker, express, github-actions, google-cloud, jwt, kafka, kubernetes, microservices, mongodb, nextjs, nodejs, openai-api, react, react-hooks, redis, redux, stripe, typescript
- Language: TypeScript
- Homepage:
- Size: 6 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# Sport-tickets
Sport-tickets is a comprehensive platform designed for browsing, purchasing, and managing tickets for various sports events. The platform is built with a microservices architecture, utilizing modern technologies to ensure scalability, reliability, and maintainability.
## Overview
### Core Features
- **User Authentication**: Secure user registration and login.
- **Ticket Management**: Browse and manage sports event tickets.
- **Order Processing**: Create and manage orders for tickets.
- **Payment Handling**: Secure payment processing for ticket purchases.
- **AI Recommendations**: Personalized AI-driven ticket recommendations based on user activity.
- **Expiration Service**: Manages the expiration of unpaid orders.
- **Event Streaming**: Real-time updates and communication between microservices with Apache Kafka.
- **State Management**: Efficient state management using Redux.
- **Caching**: Enhanced performance through Redis caching.
### Technologies Used
- **Frontend**: Next.js, React, React Query, TailwindCSS
- **Backend**: Node.js, Express
- **Database**: MongoDB
- **Authentication**: JSON Web Tokens (JWT), bcrypt
- **State Management**: Redux
- **Caching**: Redis
- **Event Streaming**: Apache Kafka
- **Payment Processing**: Stripe
- **Testing**: Jest, Supertest
- **Containerization**: Docker
- **Orchestration**: Kubernetes
- **Cloud**: Google Cloud
- **Continuous Development**: Skaffold
- **CI/CD**: GitHub Actions
- **Deployment**: DigitalOcean
### Microservices Architecture
The application is divided into several microservices, each responsible for a specific domain of the application:
#### Auth Service
Handles user registration, login, and authentication using JWTs. It ensures secure access to other services.
#### Tickets Service
Manages the lifecycle of tickets, including creation, updates, and retrieval. It allows users to browse available sports event tickets.
#### Orders Service
Processes orders by associating tickets with users and managing the order states (created, cancelled, completed).
#### Payments Service
Integrates with payment gateways to handle transactions securely. Ensures payments are processed before completing an order.
#### Expiration Service
Ensures unpaid orders are cancelled after a certain period, freeing up tickets for other users.
#### Kafka Service
Implements event streaming to ensure real-time communication between services, facilitating a responsive and cohesive system.
#### AI Recommendation Service
Uses AI to analyze user behavior and recommend the best tickets for each user based on their past activity.
#### Common Service
Deployed as a GitHub module for code reuse
### Event-Driven Architecture
The platform utilizes an event-driven architecture with Apache Kafka to enable real-time communication and updates between microservices. This ensures that all parts of the system stay in sync and respond to events as they occur, providing a seamless and responsive user experience.
### Server-Side Rendering
Next.js is used for server-side rendering (SSR) to enhance performance and SEO. This ensures fast initial load times and better indexing by search engines.
#### Installation
### 1. Clone the Repository:
```bash
git clone https://github.com/almoghindi/Sport-tickets.git
cd Sport-tickets
```
### 2. Install Dependencies:
```bash
cd auth && npm install
cd ../tickets && npm install
cd ../orders && npm install
cd ../payments && npm install
cd ../expiration && npm install
cd ../client && npm install
cd ../common && npm install
```
### 3. Set Up Environment Variables:
Create a .env file in each service's root directory and configure the required environment variables.
### 4. Start Development Servers:
```bash
npm run dev
```
### 5. Run with Docker and Kubernetes:
Ensure Docker and Kubernetes are installed and running. Use Skaffold to manage the development lifecycle:
```bash
skaffold dev
```
## Deplyoment
The project uses GitHub Actions for CI/CD, ensuring automated testing, building, and deployment to DigitalOcean.
## Media
#### Home Page:
Experience the welcoming home page where users are greeted with vibrant visuals and a simple interface to explore various sports events.
#### Tickets Page:
Browse through an extensive list of available tickets with detailed filters to narrow down choices based on date, price range, and category.
#### Order Completed Page:
See the confirmation page that assures users their ticket purchases were successful and provides details of the completed order.
#### Demo Video:
https://github.com/almoghindi/Sport-tickets/assets/102804545/47240b74-11e8-4871-9166-75b564801468