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An interactive language tutor embodied in a Reachy Mini robot that teaches Nederlands, German, Spanish and Malayalam through real-time voice conversation, camera-based visual lessons, and expressive robot gestures.

Automated deployment of a secure Apache Spark & Hadoop cluster on Google Cloud Platform using Terraform (IaC) and Ansible. Features a private network architecture with Master, Worker, and Edge nodes, including automated performance benchmarking.

This lab demonstrates enterprise-grade data governance across Azure, GCP, AWS, and Oracle Cloud with automated cross-cloud data discovery, classification, DLP enforcement, and compliance reporting.

Best-of-Breed: Use each provider's strongest service Event-Driven: Serverless automation with trigger-based workflows Unified Governance: Azure Purview as central metadata hub Automated Compliance: Real-time policy enforcement and reporting

Atlas Architect: Your AI Co-pilot for Secure Cloud Infrastructure

This project is an AI-powered DevSecOps agent that lives within GitLab. It proactively analyzes Infrastructure-as-Code (IaC) files, specifically Terraform, to automatically visualize, secure, and optimize a developer's Google Cloud architecture before it's ever deployed.

When a developer submits a Merge Request with Terraform changes, a CI/CD pipeline triggers the agent to post a detailed analysis back as a comment. This provides instant visibility and governance, helping teams build better, safer cloud infrastructure, faster.

Key Features:

AI-Powered Visualization: Generates architecture diagrams from Terraform code using Google's Vertex AI. Security & Cost Analysis: Identifies security vulnerabilities and cost inefficiencies based on best practices. Intelligent Remediation: Automatically suggests code changes to fix identified issues. Vector-Powered Knowledge Base: Uses a MongoDB Atlas Vector Search index of official Google Cloud documentation to provide highly relevant, context-aware explanations for its recommendations.

Core Technologies:

Platform: GitLab CI/CD, Google Cloud Platform (GCP), MongoDB Atlas Services: Google Cloud Run, Google Cloud Build, Google Vertex AI, MongoDB Atlas Vector Search Frameworks & Languages: Python, Flask, Gunicorn

Projet pour utiliser le GKE de GCP, avec une app minimale déployée, tout as code et avec cycles de vies séparés.

Google Cloud Shift-left security demonstration containing infrastructure, continuous delivery pipeline and tooling to support security from within a build pipeline

catalog-service fast API app

Project to test terraform with google cloud platform in a ci/cd pipeline.

Codebase for https://shumphreys.com

This repository demonstrates how to implement a secure CI/CD pipeline using GitLab and Google Cloud Platform, focusing on:

🔐 Workload Identity Federation for secure authentication 📦 Artifact Registry for container images 🛡️ Binary Authorization for image signing 🔍 Vulnerability scanning 🚀 Progressive delivery with Cloud Deploy

실시간 스터디 관리 플랫폼

Demo project deploying nexus3 on GKE

Provision GitLab self managed runner on GCP

Archived - Project is inactive and not maintained. This should not be used for any production activity.

"Cloud container data analytics, statistical modeling, and machine learning on distributed databases". "A free opensource alternative to SPSS, SAS, MATLAB, PowerBI, Tableau and Alteryx". Runs on Linux, Windows, MacOS, and in the cloud via containers.

Projeto Terraform para provisionamento de ambientes na cloud da Google (GCP). (VPC, Kubernetes)

A workshop of 3 hours max to learn about Istio and how to use it on Google Cloud Platform (GCP) through Google Kubernetes Engine (GKE) - https://istio-in-action.training.stack-labs.com/