Cloud Infrastructure & DevOps

Build infrastructure that scales with confidence

Automate your deployments, eliminate downtime, scale with confidence.

Start a Project

Trusted by engineering teams across France

mycloudlab — zsh
$

Built on industry-leading platforms and tools

Microsoft Azure
AWS
Docker
Terraform
Ansible
GitLab
Prometheus
Grafana
0%

Uptime SLA

0+

Deployments Delivered

0+

Infrastructure Projects

0+

Years of Experience

0%

Time saved with AI

Capabilities

Engineering solutions for modern infrastructure

Built for real production — reliable, performant, and operationally efficient.

Cloud & DevOps Engineering

End-to-end CI/CD pipelines, automated delivery, and monitoring. From Azure DevOps to GitHub Actions, every deployment is fast, reliable, and reproducible.

# azure-pipelines.yml
trigger:
  - main
stages:
  - stage: Deploy
    jobs:
      - job: Production
        steps:
          - task: AzureCLI@2

Infrastructure as Code

Codified infrastructure with Terraform, Ansible, and Pulumi. Versioned, auditable environments that eliminate configuration drift.

resource "azurerm_kubernetes_cluster" "aks" {
  name                = "prod-aks"
  location            = var.location
  dns_prefix          = "mycloud"
  kubernetes_version  = "1.28"
}

Cloud Architecture & Migration

Azure-native architecture with Well-Architected principles. Cost optimization, high availability, and disaster recovery built in from day one.

az network vnet create \
  --name prod-vnet \
  --resource-group rg-prod \
  --address-prefix 10.0.0.0/16 \
  --subnet-name app-subnet

Linux & Security

Hardened production Linux systems. Access management, compliance enforcement, and proactive monitoring for enterprise-grade stability.

#!/bin/bash
ufw default deny incoming
ufw allow ssh
ufw allow 443/tcp
fail2ban-client start
systemctl enable auditd

Containerization & Orchestration

Docker and Kubernetes at scale. Container lifecycle management, auto-scaling, and production-ready orchestration.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: app
spec:
  replicas: 3
  strategy:
    type: RollingUpdate

AI & Intelligent Automation

AI agents integrated into operational workflows. Automated ticket management, predictive analysis, and intelligent process optimization.

from langchain.agents import AgentExecutor
agent = AgentExecutor(
    agent=reasoning_agent,
    tools=[ticket_tool, monitor_tool],
    verbose=True
)
Methodology

A structured approach to every engagement

From initial assessment to production deployment and ongoing operations.

01

Assess

Deep analysis of existing infrastructure, operational bottlenecks, and business requirements to define a clear technical roadmap.

02

Architect

Comprehensive solution design with detailed recommendations, risk assessment, and prioritized implementation plan.

03

Deliver

Iterative implementation following DevOps best practices. Rigorous testing, documentation, and quality assurance at every stage.

04

Operate

Ongoing operations support, knowledge transfer, and continuous improvement to maintain peak performance.

Technology

Purpose-built technology stack

Industry-standard tools for infrastructure automation, orchestration, and observability.

Cloud

Azure
AWS
OpenStack

Containers & IaC

Docker
Terraform
Ansible

CI/CD & VCS

GitLab CI
Git

Languages & Scripting

Python
Bash

Observability

Prometheus
Grafana

AI & Automation

LLM
Agent AI
n8n
AI & Automation

AI-augmented operations

I run this infrastructure with custom AI agent skills and automated workflows - shipping changes faster and spending far less time on maintenance.

70%

Less time on engineering tasks

Custom Claude Code and agent skills with full knowledge of my production and pre-production stacks, an up-to-date software and version inventory, and persistent memory - so routine operations and changes take a fraction of the time.

-50%

Less maintenance toil

n8n workflows handle recurring upkeep: scheduled server health checks, plus inbox triage that prioritizes messages and drafts ready-to-send replies I simply validate - cutting recurring maintenance time in half.

5-6

Always-on workflows

A handful of n8n automations covering monitoring, backups and reporting run around the clock, saving several hours every week.

References

Trusted by leading institutions

Successful engagements with demanding organizations.

University of Strasbourg

Consulting engagement for the digital services of the University of Strasbourg, one of the largest universities in France: messaging administration and rollout of new collaboration services.

Challenge

Administering the university's email messaging at scale (~110,000 accounts) while providing the entire university community with a modern, self-hosted instant messaging service, without disrupting existing services.

Solution

As a consultant: administered the university email messaging platform (~110,000 accounts) and brought an instant messaging service (Matrix) into production for the entire university via Docker deployment, alongside ongoing standard maintenance operations.

Results

  • University-wide email messaging administered at scale (~110,000 accounts)
  • Matrix instant messaging deployed to production across the entire university
  • Containerized (Docker) deployment for reproducibility and easier maintenance
  • Service continuity maintained through standard maintenance operations
Approach

Built for operational excellence

Every engagement starts with understanding your infrastructure challenges and business context. The result is architecture that performs under pressure, scales on demand, and operates with minimal friction.

Reliability First

Infrastructure designed for zero downtime, with automated failover and disaster recovery built into every layer.

Automation at Scale

From deployment pipelines to monitoring alerts, every repeatable process is codified and automated.

Security by Design

Hardened systems, least-privilege access, and compliance-ready configurations from the ground up.

Certified Expertise

Azure AdministratorAzure DevOps EngineerTerraform Associate
FAQ

Frequently asked questions

Common questions about cloud infrastructure and DevOps engagements.

Contact

Start a conversation

Share your infrastructure challenges and leave with a concrete action plan.