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Add BioGroup EDS qualification and estimate#1

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Add BioGroup EDS qualification and estimate#1
elilette wants to merge 2 commits into
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claude/vibrant-hypatia

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@elilette elilette commented Apr 16, 2026

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Summary

Adds qualification and pricing estimate for BioGroup EDS (Entrepôt de Données de Santé), a healthcare-data platform running on S3ns/GCP.

  • Input CSV transformed into structured inventory (8 projects × 3 environments)
  • Déductive qualification (infra not yet live in production)
  • Calibrated MCO estimate with reality-check comparison

What & Why

  • Cloud : S3ns (Google Cloud souverain, Thalès-Google) — public cloud managed
  • Compliance : HDS + RGPD renforcé + ISO 27001
  • Topology : 3 envs (Prod / Non-prod / Shared), 4 GKE clusters, self-hosted LGTM observability, Vault, Airflow, Metabase OSS+Enterprise, BigQuery data warehouse
  • Team : 1-5 devs, backlog = MEP + stabilisation

Pricing outcome

Mode €HT/mois €HT/an
Temps passé (recommandé) 11 004€ 132 048€
Forfait (+20% contingence sur MCO+Gov) 12 773€ 153 276€
  • Dispositif : Semi-dédié (12.75 j/h/mois total)
  • MCO calibré : 9.50 j/h/mois (déductif 17.80 → -39% via GitOps dedup, BigQuery managed, observabilité centralisée)
  • Immobilisation : 0€ (Standard × semi-dédié)

Points d'attention pour le reviewer

  • HDS + plage Standard : tension notée — pas d'astreinte hors heures de bureau alors que l'EDS manipule des données de santé. À re-confronter avec le client.
  • Hypothèses H1 (valeurs n/x des Bulles sécurisées) et H2 (interprétation des 3 envs) : sensibilité ±5 000€/mois (±40% du prix). Atelier de cadrage recommandé avant contractualisation.
  • Clause de revoyure à 3 mois post-MEP recommandée pour calibrer sur tickets/incidents réels.

Test plan

  • Relecture qualification.md par un Solutions Architect
  • Relecture estimate.md par un Solutions Architect
  • Valider les hypothèses H1-H8 avec le client BioGroup
  • Confirmer la plage horaire (Standard vs Étendue) au regard des exigences HDS

🤖 Generated with Claude Code

elilette and others added 2 commits June 8, 2026 18:38
BioGroup EDS (Entrepôt de Données de Santé) running on S3ns/GCP:
multi-cluster GKE with self-hosted LGTM observability, Vault,
Airflow, Metabase, and BigQuery data warehouse. HDS + ISO 27001.

Deductive vs calibrated MCO shows -39% delta (17.80 → 9.50 j/h);
calibrated estimate retained due to GitOps dedup, managed BigQuery,
and centralized observability. Semi-dédié dispositif, 12.75 j/h/mois
total at 11 004€/mois HT (132 048€/an).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Client confirmed clusters run in GKE Autopilot — Google manages nodes
(provisioning, scaling, patching, security hardening), so cluster-level
ops collapses to workloads + network policies + IAM.

Changes:
- All 4 GKE clusters: complexity coef 0.5 (very low) instead of 0.8-1.0
- MCO proactif calibré: 6.0 → 4.5 j/h/mois (3× réactif instead of 4×)
- Total calibré: 12.75 → 11.16 j/h/mois
- Mensuel HT: 11 004€ → 9 631€ (temps passé), 12 773€ → 11 126€ (forfait)
- Annuel HT: 132 048€ → 115 572€ (temps passé)
- Hypothesis H9 added documenting Autopilot decision and impact
- Note flagged: total proche du seuil mutualisé (10 j/h)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
@elilette elilette force-pushed the claude/vibrant-hypatia branch from a07a972 to dcb363f Compare June 8, 2026 21:38
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