IOMesh's V1.0 Can Be Used to Enhance VMs and Containers in KubeVirt

As an enterprise-grade Kubernetes-native distributed storage, IOMesh‘s version 1.0 can now be used to enhance VMs and containers in KubeVirt with outstanding performance and HA.

KubeVirt is a matured VM management solution for Kubernetes, which provides VM users another option to modernize IT infrastructure: in conjunction with Kubernetes persistent storage, users can conveniently run both VMs and containers on top of Kubernetes with no need to worry about the stability and performance of Kubernetes clusters.

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To leverage KubeVirt’s potential in central management, it is essential to have underlying storage that can provide high performance for both containers and VMs. Therefore, block storage can be a better choice. Moreover, the storage solution should be KubeVirt-friendly, meaning that it can provide advanced features for VMs in KubeVirt.

Leveraging Kubernetes native operation and tools, IOMesh can be integrated into the Kubernetes ecosystem, providing production-ready storage services to containers and VMs in KubeVirt through converged deployment. Featuring performance and enterprise-grade advanced functionalities, IOMesh can meet KubeVirt users’ storage demands.

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This use case was tested by IOMesh and a video technological research client, who develops offline video rendering services, with core applications running on VMs (Windows + Linux) and containers in KubeVirt.

These applications have high requirements for storage performance and availability:

Storage type: Cloud-native distributed storage.
Advanced features: Multi-replica policy to ensure high availability.
Performance requirements: High random RW IO/s and sequential RW bandwidth. Random read IO/s (single node): 100,000+. Random write IO/s (single node): 40,000+. Sequential RW bandwidth (single node): 1GB/s.
Other features: Production-ready reliability and stability. Low overhead.

Iomesh architecture

In the simulated production environment of this client, IOMesh demonstrated single-node random RW IO/s, achieving 130,000+ and 45,000+ respectively, while the sequential RW bandwidth exceeded 1.6GB/s+. Additionally, IOMesh’s advanced features contributed to the enhanced availability of Kubernetes clusters.