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Expertise

Targeted expertise

From framing to implementation, each expertise area stays clear, documented, and aligned with business and security priorities.

What you will find

Expertise for your needs

For each expertise area: a clear intervention scope, typical cases, concrete outcomes, and the main tools involved.

Format

Understand fast, open the detail when needed.

A simple first read to identify the right topic, then a detailed page to go deeper when useful.

Typical casesExpected outcomesToolingDelivery context

Expertise

Software & application architecture

Align architecture with business priorities.

Pragmatic target architecture aligned with security, scalability, and implementation constraints. Tracked decisions (ADR), incremental trajectories, guardrails to avoid drift.

What you get

  • Architecture framing in a few workshops with stakeholders and implementation teams
  • Clear application map (domains, dependencies, flows)
  • Documented standards: patterns, conventions, technical budgets

Sample missions

  • Architecture assessment and diagnosis
  • Target architecture definition and incremental roadmap
  • ADR/RFC and architecture board facilitation

Expertise

Software development

Maintainable, tested code, production-ready.

Robust software development: pipelines, quality, security. Teams coached on practices (tests, reviews, CI/CD) with product-oriented implementation.

What you get

  • Clarified backlogs, refined stories
  • Code reviewed, tested, instrumented, and secured
  • Regular, predictable releases

Sample missions

  • Delivery reinforcement on a critical product
  • Progressive migration to modular architecture
  • Code reviews and quality pipelines setup

Expertise

Cloud & Kubernetes

Reliable platforms for sensitive workloads.

Platform design workshops: security, IAM, networking, storage, observability. Runbooks and automation to reduce manual ops.

What you get

  • Validated platform architecture (security, network, storage, resilience)
  • Deployment standards (charts, Kustomize, operators)
  • Observability and alerting ready for run

Sample missions

  • Designing a Kubernetes platform in a trusted cloud
  • Industrializing deployments (Helm/Kustomize) and network policies
  • Observability and SLOs tailored to critical services

Expertise

Infrastructure, network & operational security

Protect the foundation and keep control on the ground.

Technical foundations to secure and operate the information system: networking, firewalls, remote access, segmentation, endpoint protection, and exposure reduction.

What you get

  • A clear infrastructure architecture: network, zones, access paths, and control points
  • Security fundamentals deployed and documented: firewalls, VPN, segmentation, EDR, and filtering
  • Reduced exposure and simpler operations through readable rules, alerts, and procedures

Sample missions

  • Network and firewall redesign or hardening
  • Implementation of VPN, segmentation, and access control
  • Deployment of EDR, intrusion protections, and CrowdSec

Expertise

DevOps / GitOps / CI/CD

Predictable, auditable, reproducible pipelines.

CI/CD chains built to reduce MTTR: fast tests, quality, security, automated deployments, simple rollback.

What you get

  • GitLab CI pipelines structured by stages and environments
  • Reusable templates per team (job libraries)
  • Documented release train or trunk-based with guardrails

Sample missions

  • Standardizing multi-project GitLab CI pipelines
  • Implementing GitOps (ArgoCD/Flux) with policies
  • Securing the supply chain (signatures, scans)

Expertise

Observability

Measure what matters to act fast.

Coherent instrumentation, alert budgets focused on users, operational dashboards. Less noise, more action.

What you get

  • SLOs and alerting based on user impact
  • Runbooks ready for on-call
  • Decision dashboards for product and ops

Sample missions

  • SLI/SLO framing on a critical service
  • APM + logs + traces with correlation
  • Alert noise reduction and automated triage

Expertise

Identity & access

Robust identity for sensitive environments.

Identity and access management aligned with regulatory constraints. SSO, MFA, federation, and application security integrations.

What you get

  • Clear IAM governance (roles, scopes, lifecycle)
  • Solid SSO integrations (OIDC/SAML) and MFA
  • Audit traces usable by security teams

Sample missions

  • SSO/MFA integration on internal or SaaS apps
  • Role modelling and delegation for regulated environments
  • IAM security review and hardening

Expertise

Data

Reliable, governed, observable data.

Pragmatic data architecture, quality and governance, ingestion pipelines, and data observability.

What you get

  • Data strategy and governance (quality, catalogs, access)
  • Robust ingestion pipelines (ELT/ETL) and controlled flows
  • Data observability and quality playbooks

Sample missions

  • Data framing (use cases, data readiness, roadmap)
  • Building ELT/ETL pipelines and supervising data quality
  • Documentation and handover: playbooks, runbooks, DatOps

Expertise

ERP, management software & business tools

Structure the operational core of the organization.

Selection, framing, integration, and evolution of the software that runs day-to-day activity: ERP, sales management, invoicing, activity tracking, and business applications.

What you get

  • A clear map of management tools and the flows between them
  • Selection or improvement of an ERP or management platform suited to the organization
  • More readable processes for quotes, invoicing, activity tracking, purchasing, stock, or production

Sample missions

  • Framing or takeover of an ERP or management platform
  • Integration with website, e-commerce, accounting, or business tools
  • Simplification of flows for quotes, orders, invoicing, follow-up, and reporting

Expertise

AI / ML

Useful models with traceability and guardrails.

Framing AI/ML use cases, deploying models and LLMs with monitoring, security, cost control, and guardrails for sensitive contexts.

What you get

  • Framed AI use cases (value, risks, data)
  • Models/LLMs deployed with observability and security
  • Usage guides and runbooks for operations and cost control

Sample missions

  • AI/ML framing (use cases, risks, data readiness)
  • Deploying models/LLMs with monitoring, security, and cost control
  • Documentation and handover: playbooks, runbooks, MLOps

Value in Vision

Frame the right level of intervention

Share your context to identify the relevant expertise, the right engagement format, and the first deliverables to expect.