Virtualization Meaning – The Basic of Virtualization machine

Virtualization is the creation of a virtual — somewhat than actual — redaction of something.
As you know virtualization is a fairly old technology but it’s still super relevant to building a cloud computing strategy.
Simply put virtualization is the process of creating a software-based or virtual version of something. Whether that computes, Storage, networking, servers or applications.
And what makes met urbanization feasible is something called the hypervisor.
Table of Contents
Hardware-level virtualization
Though some type of virtualization has existed since the mid-1960s, it has developed over time, while still staying close to its origins.
A lot of the development in virtualization has happened in just the past couple of decades, with new forms being developed and commercialized.

Hypervisor
The hypervisor is simply a piece of software that runs above the physical server or host.
And there are a couple of different types of hypervisor is out there and what they do is essentially pulled the resources from the physical server and allocate them to your virtual environments.
There are two main types of hypervisor is out there one being Type 1 hypervisor (very simple to remember) and two (you guessed it right) Type II hypervisor.
Virtualization Technology
There are two main types of hypervisor is out there one being Type 1 hypervisor (very simple to remember) and two (you guessed it right) Type II hypervisor.
Type I Hypervisor
So let’s start with type I hypervisor.
This hypervisor is installed directly on top of the physical server they’re also called bare-metal hypervisor.

Type I is the most frequent type of used hypervisor and they are most secure they are good with lower latency.
and these are the ones that you’ll see in the market the best examples will be VMware ESXi, Microsoft Hyper-V and even Open Source KVM.
Type II Hypervisor
what makes these different is that there is a layer of a host OS that sits between the physical server and the hypervisor.
So by that nature, they are also called hosted.
These (Type II) are a lot less frequent, they mostly used for end-user virtualization there a bit higher latency than the TYPE I hypervisor.
Now, you can build environments and virtual machines or simply put VM.
let’s spin-up some environments, and these environments in layman language are called VPS Hosting.

What makes VM a VM?
VM is simply a software-based computer, there and as a physical computer they have operating System, application and they are completely independent of one another.
You can run multiple of them on a hypervisor.
The hypervisor manages the resources that are allocated to these virtual environments from the physical server.
Also, because they’re independent you can run different operating systems on different virtual machines, you can windows in one VM and Linux on another hosted under the same hypervisor.
And with the fact they’re independent, they’re also extremely portable, you can move a virtual machine from one hypervisor to another hypervisor on a completely different machine almost just instantaneously which gives you a lot of flexibility and a lot of portability within your environment.
Looking at all of this, This is the core of virtualization, as a process.
let’s talk about a couple of benefits that you want to take away from this article.
Benefits of Virtualization
Cost Savings
when you think about this and the fact, that you can run multiple virtual environments from one piece of infrastructure or dedicated server.
This means, that you can drastically reduce physical infrastructure footprint and this is consolidation at its core and the fact that you don’t have to maintain nearly as many servers, run as much electricity save on maintenance cost, means that you save on your bottom line, at the end of the day.
Agility And Speed
like I said, spinning up a virtual machine is relatively easy and quick, a lot more simple than provisioning in an entirely new environment.
For your developers, if they say they want to spin up a new environment so that they can run depth tests in an area or whatever it might be.
Virtualization makes that process a lot simpler and quicker.
Lowers Your Downtime
let’s say, that this bare metal server goes out unexpectedly, with the fact that you can move VM from one hypervisor to another on a different physical server.
This means, that you have a great backup plan in place.
If one server goes down, you can simply move your VM very quickly to another hypervisor or on a machine that is working.
Data Virtualization
When it comes to data virtualization, it empowers businesses to handle big data and help to make queries across multiple data sources fast and simple without moving data.
Handling big data is another level.
Data virtualization is an umbrella term used to refer to an approach to information management which enables an application to retrieve and manipulate data without needing technical specifics regarding the information, like how the information is formatted or at which it’s physically situated.
The objective of Data virtualization is to produce one representation of information in multiple, disparate sources without needing to copy or transfer the data.
Basically, data virtualization software is middleware that allows data stored in various kinds of data units to be incorporated almost.
This kind of platform enables authorized consumers to get a company’s whole array of information from one point of access without understanding (or caring) if the information resides in a glass house mainframe, on assumptions at a data warehouse or within a data lake from the cloud.
Data Virtualization is a technology that has enabled data-as-a-service. This technology enables handling of data as a solution without dealing with technical aspects of storing data.
This is a simple approach to data management which allows any application to manipulate or retrieve data without the need of technical details of data such as data storage or data formation. So this technology integrates data from disparate sources without moving or copying the data, thus giving users a single virtual layer that spans multiple applications, formats, and physical locations
Data Virtualization is the middle layer between the upstream systems such as Salesforce, FB, MySQL, etc. and downstream systems such as DataMart, Warehouses, or Users. Here, the concept of storing the data is eliminated as it acts as an abstract layer which reduces latency.
Data Virtualization is a platform that is similar to Data Lake but without data persistence. Data is converted on-the-fly into a set of business objects or a set of tables. Data Virtualization platform hides the complexity of all multiple end-points. For instance, if there’s a sudden change in the file format or interface or replacement of systems, all of those changes can be still managed within the Data Virtualization platform as it provides real-time data.
Unlike data lake, Data Virtualization doesn’t store data which makes it cost-effective and less prone to error as data can be queried across many systems without having to replicate or copy data. This makes business analytics simple and gives a simple approach to data management.
Data Virtualization use cases
– BigData/ Cloud
– Single view applications
– Data Services
– Agile BI
– Data Integration
– Predictive Analysis
Benefits of Data Virtualization
-Minimum latency
-Cost – effective
-Increased responsiveness, productivity
-Minimum operating and capital cost
-Data recovery is faster
-Increased efficiency, productivity
-Real-time data
-Better data management approach
-Fastest approach to merge for data analytics
Virtualization is a great technology, when used in a right way, can help you build great infrastructure that will help you create a balance between cost and performance.
Shashi kant Pandidhar
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