Bringing Browser-Based MFA SSO to the OpenStack CLI
Learn how a lightweight keystoneauth1 plugin brings your existing browser-based MFA and SSO to the OpenStack CLI, with no changes to any client tools.
Trends, best practices, and technical deep dives on open source cloud infrastructure.
Discover the financial, operational, and reputational risks of non-compliance and how Atmosphere ensures secure, regulation-ready cloud management.
Private clouds at the edge combine performance, security, and sovereignty, bringing data processing closer to where it happens.
Discover the key use cases and benefits of fully isolated Kubernetes clusters, and how Atmosphere ensures security, scalability, and seamless management.
Dedicated private clouds help enterprises meet strict compliance standards while ensuring control, performance, and scalability.
Achieve near-zero downtime during OpenStack upgrades with Atmosphere’s new "ovsinit" utility and AVX-512-optimized OVS builds for faster, more efficient networking.
Hybrid cloud helps enterprises balance agility and control. Learn how Atmosphere enables secure, open, and scalable hybrid environments.
Future-proof your cloud with Atmosphere: scalable, open-source OpenStack, real-time insights, and full control without vendor lock-in or complexity.
A primer on designing PCI-ready, DORA-proof sandboxes with multi-tenant networks, policy-as-code, and exportable evidence packs on your cloud.
Workloads are moving back from public to private cloud. Discover why, what to migrate, and how to repatriate smartly in 2025.
Reduce dataplane impact during OpenStack upgrades with Atmosphere’s smarter OVS management, on-demand image builds, and x86_64-v2 performance optimizations.
Perspectives, mises à jour et histoires de notre équipe
Learn how a lightweight keystoneauth1 plugin brings your existing browser-based MFA and SSO to the OpenStack CLI, with no changes to any client tools.
Hyperscaler AI looks fast but hides long-term lock-in and rising costs. See how OpenStack and Kubernetes deliver GPU infrastructure you actually control.
Many AI clusters run at only 30–50% GPU utilization. Learn why GPUs sit idle and how Kubernetes, scheduling, and better infrastructure design can improve AI infrastructure efficiency.