Build infrastructure that scales with confidence
Automate your deployments, eliminate downtime, scale with confidence.
Trusted by engineering teams across France
Built on industry-leading platforms and tools
Uptime SLA
Deployments Delivered
Infrastructure Projects
Years of Experience
Time saved with AI
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@2Infrastructure 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-subnetLinux & 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 auditdContainerization & 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: RollingUpdateAI & 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
)A structured approach to every engagement
From initial assessment to production deployment and ongoing operations.
Assess
Deep analysis of existing infrastructure, operational bottlenecks, and business requirements to define a clear technical roadmap.
Architect
Comprehensive solution design with detailed recommendations, risk assessment, and prioritized implementation plan.
Deliver
Iterative implementation following DevOps best practices. Rigorous testing, documentation, and quality assurance at every stage.
Operate
Ongoing operations support, knowledge transfer, and continuous improvement to maintain peak performance.
Purpose-built technology stack
Industry-standard tools for infrastructure automation, orchestration, and observability.
Cloud
Containers & IaC
CI/CD & VCS
Languages & Scripting
Observability
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.
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.
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.
Always-on workflows
A handful of n8n automations covering monitoring, backups and reporting run around the clock, saving several hours every week.
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
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
Frequently asked questions
Common questions about cloud infrastructure and DevOps engagements.
Start a conversation
Share your infrastructure challenges and leave with a concrete action plan.