Steam Game Recommendation System

Project Overview

A microservices-based Steam game recommendation system using a hybrid cloud deployment strategy.

Technology Stack

• Backend: Python FastAPI
• Frontend: React
• Database: MongoDB
• Container Orchestration: Kubernetes
• Deployment: Docker Desktop + Cloud Provider

Architecture

See [[SteamGameRecSys/architecture|Architecture Design Document]].

Main Components

1. Backend API: Provides game recommendation and search functionality
2. Frontend: React user interface
3. MongoDB: Persistent game data storage
4. Cloud Crawler: Cloud-based data collection service

Deployment Guide

Check [[SteamGameRecSys/deployment|Deployment Documentation]] for detailed steps.

Kubernetes Configuration

• k8s/mongodb-persistent.yaml - MongoDB persistence configuration
• k8s/backend-docker-desktop.yaml - Backend service configuration

Related Documentation

• [[SteamGameRecSys/hybrid-cloud|Hybrid Cloud Architecture]]
• [[SteamGameRecSys/mongodb-backup|MongoDB Backup Strategy]]