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5 Main Use Cases for Virtualization

Virtualization has been around for decades and continues to be a fundamental component in modern datacenters. Now, it’s being used as the infrastructure of cloud native workloads that use containers – these so called “containers” are built on top virtual machines (VMs). The vast majority of data center tasks today involve some sort or another form of virtualization.

Server consolidation and virtualization to reduce hardware costs

Hardware costs can be a major burden for any business, but especially for small businesses who may not have the same economies of scale as larger organizations. One way to reduce hardware costs is through server consolidation and virtualization. Virtualization allows multiple virtual servers to run on a single physical server, thereby reducing the need for multiple pieces of hardware. In addition, virtualization can help to improve server utilization rates and reduce power consumption. As a result, adopting a virtualization strategy can lead to significant cost savings.

Provisioning and deployment of new servers and applications

Virtualization has become an increasingly popular way to provision and deploy new servers and applications. Virtualization allows for the creation of virtual machines, which are essentially software-based replicas of physical machines. These virtual machines can be created quickly and easily, and they can be run on a variety of different hardware platforms. Virtualization also offers a number of other benefits, such as improved resource utilization and increased flexibility. As a result, it is no wonder that so many organizations are now turning to virtualization to meet their provisioning and deployment needs.

Testing and development environments

Virtualization is the process of creating a virtual version of something, such as an operating system, a server, or a network. Virtualization can be used to create testing and development environments that are isolated from the rest of the network. This isolation allows for changes to be made without affecting production systems. Virtualization is also a cost-effective way to use resources, since multiple virtual systems can run on a single physical machine. Testing and development environments that are based on virtualization can be quickly created and destroyed, which makes them ideal for experimentation. In addition, virtualization allows for easy rollback in the event that something goes wrong. Overall, virtualization is a powerful tool that can be used to create safe and effective testing and development environments.

Disaster recovery planning and execution

Virtualization has become an increasingly popular tool for Disaster Recovery (DR) planning and execution. Virtualization allows for the creation of virtual machines (VMs) which are isolated from each other, but can be run on the same physical server. This provides a high degree of flexibility in terms of resource allocation and ensures that any failure in one VM will not affect the others. In addition, Virtualization can be used to replicate entire servers or systems, making it easier to recover from a major disaster. As a result, Virtualization is an essential component of any DR plan.

Capacity planning and management

Virtualization has dramatically changed the landscape of capacity planning and management. By allowing a single physical server to host multiple virtual machines, organizations can make much better use of their existing hardware resources. Virtualization also makes it possible to dynamically allocate resources between different virtual machines, based on changing needs. As a result, capacity planning and management have become much more flexible and efficient. Virtualization has also made it possible to expand the capacity of a system without incurring the cost of purchasing new hardware. For these reasons, Virtualization has become an essential tool for capacity planning and management.


By following these five steps, your business can save money on hardware costs, improve provisioning times for new servers and applications, reduce testing and development timeframes, ensure disaster recovery readiness, and maintain an accurate view of server capacity. Are you ready to get started?

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