R

R2

Français 🇫🇷

https://www.devopsnotes.org

DevOpsNotes est une application Full-Stack "Cloud-Native" conçue pour illustrer les standards modernes du DevOps et de la SecOps. Bien plus qu'un simple blog, ce projet est un laboratoire d'architecture évolutive et automatisée.

Points clés :

Architecture Stateless : Découplage total des médias via Cloudflare R2 (S3-compatible) et base de données managée MongoDB Atlas.

Pipeline CI/CD Robuste : Automatisation complète du build et du déploiement sur VPS via GitLab CI/CD et Docker.

Performance & Sécurité : Score Lighthouse avoisinant les 100/100, protection par Cloudflare (SSL Full Strict) et gestion d'emails transactionnels avec Resend.

Stack Technique : Node.js (TypeScript), React, Nginx, Docker Compose.

Un projet conçu pour démontrer la maîtrise du cycle de vie logiciel (SDLC), de la conteneurisation à l'optimisation des performances CDN.

English 🇬🇧

https://www.devopsnotes.org

DevOpsNotes is a Cloud-Native Full-Stack application showcasing advanced DevOps and SecOps workflows. This project serves as a real-world demonstration of scalable, automated, and high-performance architecture.

Key Highlights:

Stateless Infrastructure: Fully decoupled media storage using Cloudflare R2 (S3-compatible) and MongoDB Atlas for managed persistence.

Automated CI/CD: End-to-end build and deployment pipeline to VPS powered by GitLab CI and Docker orchestration.

Performance & Security: About 100/100 Lighthouse score, Cloudflare-hardened security (Full Strict SSL), and automated emails via Resend.

Core Stack: Node.js (TypeScript), React, Nginx, Docker Compose.

This project highlights expertise in software delivery (SDLC), containerization, and Edge-computing optimization for modern web environments.

Graphical User Interface (GUI) for R2 family code along with Python API for jupyter notebook. See the documentation.

This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.