Virtual Machines

prerequisites before creating your first virtual machine, ensure your environment meets these requirements network configuration external and internal networks configured for vm connectivity media files installation isos uploaded to vsan for guest operating system installation resource planning adequate cpu, memory, and storage resources allocated for planned workloads key capabilities enterprise grade performance type 1 hypervisor korgrid's hypervisor technology is kvm based, delivering near bare metal performance with minimal overhead resource optimization advanced memory management, cpu scheduling, and i/o optimization ensure maximum efficiency hardware acceleration support for intel vt x/amd v virtualization extensions and hardware assisted features comprehensive security network micro segmentation isolate workloads using virtual networks with granular access controls tenant isolation complete separation of resources and networks in multi tenant environments secure migration encrypted live migration and secure communication between nodes flexible storage integration distributed vsan integrated software defined storage with automatic deduplication snapshot and cloning instant vm snapshots and space efficient cloning for backup and testing advanced networking software defined networking create and manage virtual networks without additional hardware traffic management quality of service (qos) controls, rate limiting, and bandwidth prioritization for network optimization broad compatibility guest operating systems extensive support for windows (server 2008 r2 2022), linux distributions (rhel, ubuntu, centos, suse), and freebsd virtual appliances native support for kvm compatible virtual appliances and ova/ovf formats legacy support hardware emulation for older operating systems when needed high availability & migration live migration move running vms between nodes without downtime for maintenance or load balancing automated failover automatic vm restart on alternate nodes during hardware failures cluster management distribute workloads across multiple nodes for optimal resource utilization powerful automation recipes deploy standardized vm configurations using customizable templates api integration complete rest api for infrastructure as code and automation workflows task engine schedule and automate routine operations like backups, migrations, and maintenance