Best Virtualization Software for Kubermatic Kubernetes Platform
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Compare the Top Virtualization Software that integrates with Kubermatic Kubernetes Platform as of November 2025
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This a list of Virtualization software that integrates with Kubermatic Kubernetes Platform. Use the filters on the left to add additional filters for products that have integrations with Kubermatic Kubernetes Platform. View the products that work with Kubermatic Kubernetes Platform in the table below.
What is Virtualization Software for Kubermatic Kubernetes Platform?
Virtualization software enables the creation and management of virtual machines (VMs) that emulate physical computers. By abstracting the underlying hardware, it allows multiple operating systems to run on a single physical machine, improving resource utilization and flexibility. Virtualization provides an isolated environment for applications, increasing security and stability by preventing conflicts between different software systems. It also simplifies the management of IT infrastructure, as virtual machines can be easily created, cloned, and moved between different hosts. This technology is crucial for businesses looking to scale their operations, optimize resource usage, and improve disaster recovery processes. Compare and read user reviews of the best Virtualization software for Kubermatic Kubernetes Platform currently available using the table below. This list is updated regularly.
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KubeVirt
KubeVirt
KubeVirt technology addresses the needs of development teams that have adopted or want to adopt Kubernetes but possess existing Virtual Machine-based workloads that cannot be easily containerized. More specifically, the technology provides a unified development platform where developers can build, modify, and deploy applications residing in both application containers as well as virtual machines in a common, shared environment. The benefits are broad and significant. Teams with a reliance on existing virtual machine-based workloads are empowered to rapidly containerize applications. With virtualized workloads placed directly in development workflows, teams can decompose them over time while still leveraging the remaining virtualized components as is comfortably desired. Combine existing virtualized workloads with new container workloads on the one platform. Support development of new microservice applications in containers that interact with existing virtualized applications.
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