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iac

SSH config as Code! SSHaC manages any number of ssh configs with YAML. Automatically build host entries from a single line of yaml, after defining global options and cloud lookup providers. Currently, only AWS is supported.

A local Infrastructure-as-Code (IaC) development environment for security and compliance validation. The current iteration uses Terraform and AWS emulation via LocalStack, focusing on IAM roles, secrets management, S3 access control and regulatory policies (e.g., GDPR/HIPAA). Implemented constrained DevSecOps practices within a local development context.

A repo for practicing gitops principles. All Infrastructure as Code and automatic deployments with ArgoCD

DigitalOcean Infrastructure, managed by Pulumi

PROJET ACHEVE – Le projet« BIOINDIC, Amélioration des connaissances et des pratiques – indicateurs biologiques », a proposé de comparer des écosystèmes restaurés à des écosystèmes « naturels » adjacents sur substrats ultramafiques.

Le projet« BIOINDIC, Amélioration des connaissances et des pratiques – indicateurs biologiques », a proposé de comparer des écosystèmes restaurés à des écosystèmes « naturels » adjacents sur substrats ultramafiques.

Collection of Ansible roles

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