Terraform

My fully-automated DevOps homelab.

Projet personnel de développement et d'infra - plateforme intégrée. Avec graalVM / spring native, angular 22, terraform, argoCD, etc ... Egalement support de test pour du développement aidé par IA.

kform generates Kubernetes manifests from HCL — Terraform's configuration language — with typed variables, real expression syntax, and locals for sharing config across resources.

The purpose of this system is to demonstrably comply with the applicable laws and regulations that apply to your business operations. We achieve this by linking these regulations to a standard control set that is most suitable. We then translate the relevant control set rules into scripts for the implementation tools that best suit your system environment and use these same tools to demonstrate that the required measures are in place and active, based on reports that either confirm this or contain recommendations for improvement.

A fully private file-upload system on AWS: a VPC with no internet gateway or NAT, a static site served from S3, a private API Gateway + Lambda that mints presigned S3 upload URLs, a second Lambda that reacts to what lands in the uploads bucket, and an EC2 instance that's the only way in — reachable purely through AWS Systems Manager, with no open inbound ports anywhere.

Production-focused DevOps / Platform Engineering portfolio covering Kubernetes, Terraform/OpenTofu, GitLab CI/CD, observability, cloud networking and S3/OBS.

I designed and published a professional focused on pipeline reusability, security, and code quality. The project demonstrates real-world DevOps practices such as semantic versioning, reusable CI components, secure container builds with Kaniko, and standardized linting for Python and Django applications. This initiative reflects my approach to building scalable, maintainable CI/CD architectures in enterprise environments.

Key Features:

Native GitLab CI/CD Components Semantic versioning with pinned releases No privileged runners required Enterprise-ready defaults Configurable inputs without pipeline duplication

Included Components:

Kaniko – Secure, daemonless container image builds Pylint – Python static analysis Pylint Django – Django-specific linting rules Flake8 – Python style and code quality checks DjLint – Django template linting and formatting Yamllint – YAML validation and formatting Pytest – Unit testing and code coverage ...

TEAF Light — Official Reference Implementation

The official lightweight implementation of the Temporal Enterprise Architecture Framework (TEAF) — an AI-native approach to enterprise architecture focused on intent, knowledge, decisions, automation, execution, observation, and continuous learning.

Designed for practical adoption by SMEs and organizations seeking an AI-ready, observable, traceable, and evolutive information system architecture.

This repository provides the reference foundation for experimenting with TEAF through lightweight Proofs of Concept and operational implementations.

TEAF — From strategic intent to observable execution.

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A production-inspired AWS Three-Tier Web Application deployed using Terraform. This project demonstrates Infrastructure as Code (IaC), secure AWS networking, Nginx Reverse Proxy, Flask backend deployment, Systems Manager (SSM), and GitLab-based application deployment.

Cheatsheet / IT toolbox

Owner of Stock control supervisors Romeo Rosete

Personal portfolio website built with Next.js, deployed on AWS S3 + CloudFront via Terraform with GitLab CI/CD

The project demonstrates an automated DevOps and CI/CD pipeline.

Technical blogs on topics of Kubernetes, GitOps, CI/CD and SRE in general. Created with ❤️ using Markdown format.

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A fully automated 13-stage DevSecOps CI/CD pipeline that integrates security, compliance, and cloud-native deployment using GitLab CI and Amazon EKS.

The pipeline demonstrates real-world DevSecOps practices including:

• SAST, dependency, container, IaC, and Kubernetes manifest scanning • SBOM generation (CycloneDX) • Automated POA&M creation mapped to NIST controls • Evidence packaging for compliance audits • Secure image push to Amazon ECR • Deployment and validation on Amazon EKS • Full run-to-completion behavior (lab mode) with findings documented rather than blocking

This project showcases an end-to-end secure software supply chain workflow suitable for: cloud engineering, DevOps, cybersecurity, and compliance automation demonstrations.

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