Running OpenShift Virtualization at enterprise scale surfaces three challenges that don't go away on their own: Protecting large VM estates efficiently without full-image backup overhead, maintaining consistent coverage as environments grow and change, and getting fleet-wide visibility without managing every cluster independently. Read more

Modern applications have crossed a tipping point. What once began as isolated modernization efforts—containerizing select services, experimenting with Kubernetes, or migrating workloads to the cloud—has become a full-scale transformation. Today, modern apps are not experimental outliers; they are the foundation of how organizations deliver value. Read more

For many years, the hypervisor conversation wasn’t on top of everyone’s mind. Most organizations had a stable virtualization platform, mature operational procedures, backup and recovery tooling, monitoring, patching workflows, and people who knew exactly what to do when something went wrong. Read more

As you may be aware, Red Hat OpenShift is emerging as a strong contender to be a single platform for all workloads: Containerized applications, AI, and virtual machines. With Veeam Kasten — Kubernetes-native data protection backed by a long-standing Red Hat partnership and proven at scale across cloud and air-gapped hybrid deployments —organizations can modernize with confidence, as traditional virtualization platforms fall short for cloud-native, declarative architectures. Read more

Kubernetes has rapidly evolved from a platform for ‑cloud native experimentation into the backbone for some of the most critical workloads in the enterprise. Today, organizations run production databases, modern virtual machines (VMs), and increasingly AI‑driven applications side‑by‑side on Kubernetes — often across multiple clouds, regions, and operational domains.  Read more

Enterprises are increasingly integrating generative AI workloads, AI inferencing, and retrieval-augmented generation (RAG) workloads into their core business operations. And that shift was on full display at the recent Tech World @CES in Las Vegas, as Lenovo announced a suite of purpose-built enterprise servers, solutions, and services for AI inferencing workloads. The move marks a shift from training LLMs to leveraging them for stronger data insights. Read more

Kubernetes is everywhere; it’s the de facto orchestration layer for modern infrastructure. Thanks to its scalability, declarative management, and ability to dynamically allocate resources across heterogeneous environments, Kubernetes powers everything from cloud-native applications to virtual machines (VMs) and AI. However, as we rush to modernize our stacks, containerize all the things, and deploy our apps, are we ensuring resilience and are we built to withstand the next generation of attacks?

Unlike traditional applications, Kubernetes workloads are ephemeral, scalable, and constantly shifting. This flexibility, while powerful, also introduces significant data protection complexity. Your security and compliance strategy must keep up with continuous changes, and between misconfigurations, ransomware attacks, and compliance gaps, the stakes are higher than ever before.

Kubernetes changes the data protection ... Read more

Kubernetes has moved from emerging technology to essential infrastructure. It’s no longer just a container orchestration platform — it’s the foundation of modern cloud operations and a key enabler for AI driven‑ applications. Read more

The Kubernetes landscape expands every year with more clusters, more workloads, and more AI. However, one constant remains: the Veeam Kasten juggernaut. For the sixth year in a row, Veeam has been named a leader and outperformer in the newest edition of the GigaOm Radar for Kubernetes Data Protection Report, setting the standard for Kubernetes resilience Read more

Virtualization used to be straightforward: Partition the hardware, run more workloads, and watch the savings roll in. Unfortunately, that world is behind us. Read more