What can virtual machine use cases tell companies about systems?

What can virtual machine use cases tell companies about systems?

There are many ways that companies can use virtual machine use cases to learn more about how virtualization components work in a virtual architecture. Use cases can identify how the virtual machine plays a role, as well as revealing more details about resource allocation, system requirements and much more.

Experts define a use case as a description of how a component works in a system. Use cases, when written for others, are often detailing the necessary steps and requirements for doing a particular task with a system component. In the case of virtual machines, the use case could be written for specific tasks such as migration, backup activities, or specific kinds of workload handling.

The use case will reveal the steps that need to be taken in order to have the virtual machine do a certain task effectively. Some use cases will be related to the idea of high availability – for instance, where a given virtual machine or set of virtual machines moves from one hosted location to another in order to deploy for high availability when a system is under pressure. Some virtual machine use cases are written for fault tolerance or again, for the process of migration or changes to the system. Virtual machine use cases may be written relative to changing applications in the system, and reveal how the virtual machine or set of virtual machines support that application's performance.

In general, virtual machine use cases not only show all sorts of details of what the virtual machine’s purpose is in the system, but they also provide a road map for teams who are looking to implement and deploy virtual machines in specific ways. If there is a written use case for a particular virtual machine migration, it can be used as an instructional resource. If there's not, someone might have to write one.

Virtual machine use cases get analyzed in many different ways to develop broader understandings of things like system efficiency and workload optimization. They are key tools in the battle to organize and make the best use of virtualization systems.