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Virtualization is a computing technology that enables a single user to access multiple physical devices. Another way to look at it is a single computer controlling multiple machines, or one operating system utilizing multiple computers to analyze a database. Virtualization may also be used for running multiple applications on each server rather than just one; this in turn reduces the number of servers companies need to purchase and manage. It enables you to consolidate your servers and do more with less hardware. It also lets you support more users per piece of hardware, deliver applications, and run applications faster. Follow this link for more detail on virtualization
Cloud computing offers scalable infrastructure and software off site, saving labor, hardware, and power costs. Financially, the cloud’s virtual resources are typically cheaper than dedicated physical resources connected to a personal computer or network. With cloud computing, the
One way to look at it is that virtualization is basically one physical computer pretending to be many computing environments whereas cloud computing is many different computers pretending to be the one computing environment (hence user scaling). Virtualization provides flexibility that is a great match for cloud computing. Moreover, cloud computing can be defined based on the virtual machine containers created with virtualization. Virtualization is not always necessary in cloud computing; however, you can use it as the basis. Cloud computing is an approach for the delivery of services while virtualization is one possible service that could be delivered. Large corporations with little downtime tolerance and airtight security requirements may find that virtualization fits them best. Smaller businesses are more likely to profit more with cloud computing, allowing them to focus on their mission while leaving IT chores to those who can do more for less.
Plainly, virtualization provides more servers on the same hardware and cloud computing provides measured resources while paying for what you use. While it is not uncommon to hear people discuss them interchangeably, they are very different approaches to solving the problem of maximizing the use of available resources. They differ in many ways and that also leads to some important considerations when selecting between the two. Not only do we offer
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