From remote offices to factory floors, organizations are extending their virtualization capabilities to where data is generated and consumed, unlocking new opportunities for innovation and efficiency. This shift to the edge brings a unique set of challenges, particularly for running virtualized workloads. How can you ensure the same level of resilience, performance, and simplicity for your virtual machine (VM) at the edge as you do in your core datacenters? The answer lies in a powerful combination of technologies: Red Hat’s new two-node OpenShift with arbiter architecture and Arctera's Info
In a modern cluster, the hardest problem isn’t running workloads—it's sharing resources fairly. Red Hat OpenShift clusters are seeing a surge of AI-accelerated workloads, from GPU-intensive training jobs to large batches of inference requests. At the same time, other tenants still need consistent throughput for their everyday CI/CD pipelines and data processing tasks. The result is a constant battle for resources, where some jobs wait too long, others consume more than their fair share, and administrators are left fighting bottlenecks.This is exactly the challenge that Kueue, a Kubernetes-
Long‑lasting transformers and short‑lifecycle IT are not a natural pairing. Utilities run process installations designed to last for decades, while the control software ages far faster. Deferring replacement isn’t an option, because operations must stay online with up‑to‑date security. So how do you resolve this? How can you procure operational technology (OT) – the technology that runs the power grid – today with confidence it will still run reliably by 2035? Alliander found a way.Dutch energy infrastructure was built to last for decades, with assets such as power transformers a