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azure

Project Description gerdmate-infra is the infrastructure codebase for the GERDmate platform – a modern digital health solution focused on monitoring and managing Gastroesophageal Reflux Disease (GERD) using AI and wearable data.

This repository contains all the necessary Infrastructure-as-Code (IaC) configurations, CI/CD pipeline definitions, security integrations, and observability tooling to support the deployment and scaling of GERDmate services across cloud environments.

git command and hook that deletes local branches when a matching PR is merged

📚 Dirasati

Dirasati is an educational platform designed to facilitate seamless interactions between teachers and students. The platform provides a user-friendly interface for managing teacher profiles, course offerings, and student engagement. ⚙️ Tech Stack

Frontend: React (via Inertia.js) Backend: Laravel Database: Azure Database for PostgreSQL Deployment: Azure Container Instances (Dockerized) Version Control: Git & GitLab CI/CD: GitLab CI/CD (Automating testing, building images, and pushing to Azure Container Registry) Task Management: Jira

🚀 Features

Teacher profile management Course listing and enrollment Secure authentication & authorization Cloud-based deployment with Azure Automated CI/CD for seamless updates

Formation PowerShell complète : du débutant à l'expert en 16 modules progressifs avec exemples, exercices pratiques et projets. Pour administrateurs système et développeurs sur Windows, Linux et macOS.

SUSTAIN is an environmentally-friendly, token-optimized AI wrapper designed to reduce compute costs and increase productivity. By filtering out irrelevant words and phrases from prompts, SUSTAIN minimizes the number of tokens sent to and received from the AI, saving energy and boosting performance.

This project contains supporting material for https://erudinsky.com/2024/12/31/azure-spn-for-automation/

Examples of exercises completed for a course organized by Buutti Education.

Documentation project.

This project is to collect useful scripts for use with Microsoft Azure.

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Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet.  

Major cloud providers:

Amazon Web Services (AWS): The largest and most comprehensive cloud provider, offering a wide range of services from compute and storage to machine learning and analytics. Google Cloud Platform (GCP): Known for its focus on data analytics, machine learning, and artificial intelligence, GCP is a popular choice for businesses that need powerful tools for data-driven insights. Microsoft Azure: A strong competitor to AWS, Azure offers a wide range of services and is particularly well-suited for businesses that already use Microsoft products. Examples of cloud computing services:

Compute: Virtual machines, serverless computing, containers Storage: Object storage, block storage, file storage Databases: Relational databases, NoSQL databases, data warehousing Networking: Virtual private clouds, load balancing, content delivery networks Machine learning: Training and deployment of machine learning models Analytics: Big data processing, data warehousing, business intelligence By using cloud computing, businesses can scale their resources up or down as needed, reduce costs, and improve flexibility.

module terraform pour deployer azure key vault

Manual integration docs. See cloud cost estimates for Terraform in merge requests. 💰📉 Love your cloud bill!

terraform test module

Hacking extensions for Azure Cli

Create a Kubernetes cluster on Azure using Azure AKS

A module that create the network basement for all infra