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Notes de terrain / Dernières nouvelles

Ce que la production nous apprend.

Des notes d’ingénierie issues de l’exploitation d’infrastructures ouvertes : pannes, décisions de conception et travail upstream qui améliorent l’infrastructure ouverte.

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OpenStack1 octobre 2026

OpenStack Private Cloud: Architecture, Costs & Use Cases

Learn how OpenStack private cloud works, what drives its cost, how it compares with public cloud and virtualization, and when it makes sense for your infrastructure.

OpenStack30 septembre 2026

Why Cloud Portability Is Harder Than It Sounds

Cloud portability is more than moving a VM. Learn how data, networking, storage, identity, and platform dependencies affect workload mobility

OpenStack28 septembre 2026

OpenStack for AI: How to Build a Private GPU Cloud for Production

Learn how OpenStack can power a private GPU cloud for enterprise AI, including compute, networking, storage, Kubernetes, isolation, operations, and deployment choices.

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When OpenStack is Not a Good Fit for Your Team
25 mai 2026
OpenStack isn't the right answer for every team or workload, and knowing when it isn't matters as much as knowing when it is. An honest guide to fit, from a team that's been operating it since 2011.
The 5-Minute GPU Audit: A Checklist for Instantly Spotting Waste
22 mai 2026
Most organizations waste 95% of their GPU spend without knowing it. Run this five minute audit to find the leaks and fix them before the next invoice.
20 mai 2026
The fix to platform team understaffing isn't hiring more — it's building on infrastructure where monitoring, security, and upgrades come built in.
15 mai 2026
Upstream contribution costs real engineering time. It also compounds over time in ways that internal fixes never do. What fifteen years of contributing to OpenStack, Kubernetes, and Ceph actually looks like.
14 mai 2026
A technical deep-dive into how Navos manages zero-downtime Kubernetes cluster upgrades — the sequencing, primitives, and operational process behind every upgrade.
13 mai 2026
The cloud first era is over. AI, regulation, and cost pressure are driving a shift to control first. Learn what changed and how open infrastructure fits.
8 mai 2026
Atmosphere isn't the right fit for every workload, and we're candidly sharing when it isn't. A guide to the genuine non-fits, and the four reasons teams incorrectly rule themselves out.
7 mai 2026
AI is driving emissions up and GPU utilization down. Learn why sustainability is an infrastructure problem and how OpenStack and Kubernetes solve it.
6 mai 2026
Training and inference have fundamentally different infrastructure needs. Learn what your Kubernetes platform must handle for GPU scheduling, storage, networking, and autoscaling across the full MLOps lifecycle.
29 avril 2026
Is your infrastructure ready for AI workloads? Evaluate compute, storage, networking, and orchestration layer by layer to find the gaps before they stall you.