Welcome to our newsletter! Dive into this edition to catch up on our latest updates, event highlights, future plans, and more.

Product

OpenNebula 7.0.2 is now available, delivering a set of targeted enhancements focused on improving platform stability, performance, and enterprise readiness. This release introduces more reliable and efficient backup integrations with Veeam and NetApp, expands operating system support to include RHEL 10, AlmaLinux 10, and Debian 13, and improves VM compatibility to ensure smoother and more efficient workload migrations across environments. Together, these updates further strengthen OpenNebula’s role as a robust foundation for modern hybrid and sovereign cloud infrastructures. Read the release notes here. 

Development of OpenNebula 7.2 is in full swing, and its release is just around the corner—stay tuned. This version brings several key enhancements for enterprise and sovereign cloud environments and AI Factories:

• Storage Live Migration: Move VM disks across datastores with no downtime, enabling storage rebalancing, infrastructure upgrades, and workload transitions while keeping applications fully available.
• Integrated NVIDIA Fabric Manager & GPU Enhancements: Multi-GPU workload isolation, improved monitoring, and MIG support for predictable AI and HPC performance.
• Integrated NVIDIA Spectrum-X: Support for accelerated networking for AI workloads.
• Optimized LVM Drivers: New drivers remove dependence on external filesystems, ideal for traditional virtualization scenarios.
• OneForm: One-click creation, configuration, and deployment of OpenNebula clusters on-premises or in the cloud.

Together, these updates make OpenNebula 7.2 a more flexible, efficient, and resilient platform for modern hybrid cloud and AI infrastructures.

Moreover, this month we’ve published a practical guide on building and instantiating Windows virtual machines with OpenNebula, demonstrating how reusable templates can streamline and automate Windows VM deployments. The article walks through creating a golden Windows image using official install media, VirtIO drivers, and contextualization packages, and then reusing that image for consistent multi-VM deployments. This approach ensures optimal performance, repeatable configurations, and seamless integration with OpenNebula services—ideal for organizations managing mixed-OS environments. You can read the complete guide and watch the screencast.

We’re also excited to highlight a new screencast on customizing Linux images tailored for OpenNebula environments. This video tutorial walks through essential steps for building and optimizing Linux system images—covering installation, package management, kernel configuration, and other best practices to ensure efficient and reliable deployments. It’s a practical resource for administrators looking to standardize and streamline their Linux VM images across diverse cloud workloads. Follow along with expert guidance in the screencast and explore the blog for additional insights.

Innovation

As 5G deployments scale, cloud infrastructure must support low-latency, high-performance workloads at the network edge. Our latest blog showcases how OpenNebula’s Sylva-compliant edge stack enables carrier-grade deployments with full hardware acceleration (SR-IOV, CPU pinning, HugePages), validated through a production-relevant demo using the 6WIND Virtual Service Router. This provides a clear blueprint for running real-world vRAN and UPF workloads on virtualized infrastructure at the edge. Dive deeper in the full article and screencast.

Managing distributed infrastructure shouldn’t require fragmented tooling. This post highlights how independent OpenNebula instances across multiple geographic sites (e.g., OVHcloud, Scaleway, IONOS, ADI Data Center Euskadi) can be federated under a single control plane, offering unified orchestration, transparent resource visibility, and consistent operational governance without relying on external cloud provider APIs. Don’t miss our screencast and blog.

Protecting data in use is increasingly critical in regulated and multi-tenant environments. This article demonstrates how OpenNebula can leverage hardware-assisted memory encryption (AMD SEV, Intel TDX) to run confidential workloads securely, ensuring that sensitive information remains inaccessible even to the hypervisor. With confidential and standard VMs co-existing on the same infrastructure, this approach lays the groundwork for secure, distributed cloud deployments. See the blog and check out the screencast.

Experiences

OpenNebula Reviews on Gartner

Discover what users are saying about OpenNebula on Gartner Peer Insights!

Are you using OpenNebula? We’d love your feedback! Submit your review here, and as a thank-you, receive a gift card once it’s published.

Media Publications

SDxCentral recently covered Veeam’s significant update to its Data Platform, highlighting expanded support for multi-hypervisor environments that clearly addresses organizations planning migrations from VMware. In the article, OpenNebula is featured as a strong VMware alternative, emphasizing our existing integrations with Veeam’s backup solutions and underscoring our value in hybrid and sovereign cloud strategies. Read the article here.

Outreach

Webinars

We kicked off the month with the training “Introduction to OpenNebula”, guiding new users through the platform’s core concepts, architecture, and key workflows—from resource management to VM lifecycle operations. Watch the session again.

Later on, we hosted the Office Hours on “Running Windows VMs with OpenNebula”, a practical walkthrough focused on deploying, configuring, and managing Windows workloads on OpenNebula, including best practices for templates, images, and performance tuning. Catch up on the session.

We wrapped up the month with “How to Backup and Restore OpenNebula VMs with Rsync”, where we explored lightweight backup strategies using rsync, covering common use cases and hands-on recovery scenarios for production environments. View the recording.

Events

Open Source Experience, Paris — December 10–11

OpenNebula Systems participated in Open Source Experience, a key European event focused on open digital innovation, cloud infrastructure, and open source strategy. Across two dedicated sessions, our team presented how OpenNebula is enabling sovereign, scalable cloud platforms designed to support AI factory deployments. The event offered valuable exchanges with the open source community and reinforced the growing relevance of open technologies across European digital initiatives.II International Quantum Business Conference 2025, Santiago de Compostela — December 17–18

We also joined and sponsored the II International Quantum Business Conference, organized by our partner Fsas Technologies (a Fujitsu company). The event brought together stakeholders from industry, research, investment, and public institutions to discuss advances in quantum, HPC, and hybrid-AI infrastructure. With a dedicated booth and active participation in the conference agenda, our team shared updates and demos showcasing how OpenNebula supports sovereign, high-performance AI factories—rounding off the year with strong conversations ahead of the holiday season. Read the full recap here.

What’s Coming in January

FOSDEM, Brussels January 31

OpenNebula Systems will be present at FOSDEM 2026, one of the largest open source developer conferences in Europe, bringing together communities from across the free and open source software ecosystem. The event offers a great opportunity to connect with developers, users, and contributors, exchange ideas, and discuss how OpenNebula is enabling open, sovereign cloud infrastructure at scale.

OneNext 2026

We’re excited to share that speaker applications for OneNext 2026 are now open, offering a unique opportunity to share your vision and expertise with a global audience of technology leaders and innovators shaping the future of cloud and AI. Alongside the call for speakers, we’re also opening sponsorship opportunities for organizations looking to engage directly with us. We’re already lining up top voices from across the cloud, AI, and open infrastructure ecosystem, with more names to be announced soon. Don’t forget to keep an eye on the agenda, as we’ll be updating it regularly with the latest news and confirmed sessions—and feel free to register your interest to stay informed as OneNext 2026 takes shape.You can review the full details in our landing page.

OpenNebula Academy

A quick reminder that OpenNebula Academy now has its own dedicated training hub! Explore our range of certified training sessions for all skill levels designed to give you hands-on experience and help you deepen your OpenNebula expertise. You can now browse upcoming sessions and inquire directly with our team through the new Academy page here.

Knowledge Base Articles

Exclusive Resources for OpenNebula Subscribers

This month’s spotlight dives into advanced service automation with OneFlow, focusing on elastic scaling driven by custom metrics.

How to Auto-Scale OneFlow Services Using Elasticity Policies with Custom Metrics

OpenNebula’s OneFlow component enables the deployment and lifecycle management of multi-tier applications through Services composed of interconnected VMs. While OneFlow natively supports auto-scaling via elasticity policies, these policies are limited to hypervisor metrics collected outside the VM operating system, without insight into the specifics of the application running inside the VM.

This Knowledge Base article explains how to overcome that limitation by leveraging custom VM metrics, calculated by scripts running inside the VM and periodically updated via the onegate command. This approach enables far more granular and flexible elasticity rules based on real workload behavior.

In this guide, you’ll learn how to:

• Define custom VM metrics and expose them to OneFlow using onegate.
• Configure elasticity policies that scale Service Roles automatically based on those metrics.
• Implement real-world examples, including:
  
  • Memory utilization percentage
  • Network RX speed
  • Combined scaling logic using both memory and network metrics.
    
• Apply these techniques safely using standard (non-privileged) OpenNebula users.

By adopting custom metrics for elasticity policies, administrators can unlock smarter, more responsive auto-scaling strategies for complex services.

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