– Error-proof sandbox – Virtual private servers give you “do-over” potential because they exist within a virtual sandbox. Damaging a virtual server won’t impact the operating system running on the hardware itself. “The VPS can be rebooted or reinstalled without much issue except maybe for lost data (so always keep backups),” notes Joel Lee of MakeUseOf. “On a dedicated host, a mistake could cause permanent damage.”
KVM’s popularity has been moving up on the list of virtual machine software’s due to its success with OpenStack. Marrying the 2 products together gives similar functionality as VMware vSphere, although there are some limitations with hosting Windows VMs, which are now taken care of by OpenStack’s ability to also support Hyper-V and ESXi. Click Here To Download KVM.
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Virtual means that the server runs in a virtualized environment, a cloud server rather than a physical server. This differentiates Virtual Private Servers from dedicated servers, which are physical machines in a data center rack. Virtual servers have the same functionality as a dedicated server and they look more or less the same from the client’s perspective, except that several virtual servers live on a single physical server.
You’re paying more, so there SHOULD be a minimum uptime guarantee and better server speed. Look for a host that offers 99.5% at a very minimum, although ideally, I’d rather go with someone who offers 99.9%. Search through some reviews as there are many who have put this to the test. For example, any of WHSR’s many web host reviews include an uptime record as one of our key tests.

Before we get started with our list of virtual machine software products for you to review, I’d like to recommend reading my new guide to the best virtual software training. This guide covers salary ranges, job skills, and online training options for beginners to learn how to set up, configure, and support virtual servers and desktops. There is even a free training for VirtualBox.
Typical Use Case: Early stage startup workloads, quick prototypes, prelaunch experimentations, dev/test environments, microservices node, code repositories, dedicated application servers for light workloads. Resource intensive workloads like data aggregation, gaming front-ends, video encoding, high performance computing, batch processing. Also see our managed services for Startupreneurs.
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