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KubeSphere Virtualization

KubeSphere Virtualization (KSV) is a lightweight VM management platform built on top of KubeSphere. KSV supports single-node and multi-node modes for deployment and provides easy-to-use services to meet enterprise-grade requirements of virtualization.

Architecture

KSV uses a cloud-native architecture that decouples the front-end and back-end services. In this architecture, modules are loosely coupled. You can install KSV on a single node that uses a minimum specification of 4 CPU cores and 8 GB memory. KSV can free you from understanding the underlying infrastructure and supports virtualization for x86 and ARM64 architectures.

Features

KSV is an enterprise-grade virtualization platform that provides an easy-to-use web console to help enterprise users virtualize hardware resources.

  • Node Management

    Node Management

    Summarize information about cluster nodes and obtain the status of each node.

  • IP Pool Management

    IP Pool Management

    Create or delete IP pools to manage VM networks and IP addresses.

  • VM Management

    VM Management

    Create or delete VMs, use VM snapshots, and remotely connect to VMs.

  • Image Management

    Image Management

    Manage system images that are used to create VMs.

  • Disk Management

    Disk Management

    Manage VM disks, use disk snapshots, and expand disk capacity.

  • Project Management

    Project Management

    Allocate resources to different projects and manage user permissions based on roles.

Scenarios

KSV offers lightweight, flexible, and simplified delivery. Built on top of the cloud-native Kubernetes architecture, KSV can integrate with various external software and hardware to provide enterprise-grade solutions in different scenarios.

  • Lightweight Development

    Lightweight Development

    Create virtual environments on PCs for new technology learning, application development, software testing, and bug simulation. This scenario applies to individual users.

  • Cross-VM Development

    Cross-VM Development

    Use multiple VMs to simulate a network environment for testing. Use VMs that run on different OSs to develop across platforms. This helps you improve the utilization of physical resources, make development efficient, reduce costs, and simplify management.

  • Big Data and AI for Edge Computing

    Big Data and AI for Edge Computing

    Install KSV on a single node or multiple nodes. Integrate KSV with IoT devices and use AI algorithms and applications to process data as close to the originating source as possible. This achieves ultra-low latency.