Cloud servers come in different categories to suit various needs. First, there's the general-purpose type, perfect for everyday computing tasks. Then, specialized servers cater to specific requirements like high-performance computing or data analytics. For businesses needing extra security, there are dedicated servers providing isolated environments. Finally, there are scalable servers allowing easy adjustments to resources as needed. Each category offers unique features tailored to different users' demands.

1. CATEGORIES
OF CLOUD
SERVERS
There are three types of cloud
servers: private, hybrid, and public.
Assign responsibilities, objectives
and roles to suit various demands

2. The most common term for a cloud server is a virtual
machine (VM)—or computer "instance"—that a public cloud
provider hosts on its own infrastructure and offers to users
worldwide, console-based via interface or online This model
is called IaaS.
Public cloud services use pre-built instances that share a
certain amount of processor (vCPU) and memory.
Examples of cloud services include Amazon Elastic
Compute Cloud (EC2) instances, Microsoft Azure instances
and Google Compute Engine instances.

3. Cloud services can also run virtual machines in an on-
premises private cloud. In this case, the cloud company
provides internal users via a local area network (LAN) and in
some cases, also provides access to the Internet. The main
difference between cloud server hosting and private cloud
servers is that private cloud servers are located on the
premises of the organization, whereas public cloud servers
are located outside and operated.
The organization's servers can be configured before
installation, but users can select the number of vCPUs and
memory required to run the application For example, Cloud
computing can be a public or private cloud service.

4. Hybrid cloud servers combine the functionality of public and
private clouds. They allow organizations to use a combination
of premises and cloud resources. Analyzes, analyzes and
manages data. Organizations can store sensitive data on
private servers while using public cloud analytics for other
purposes.
A hybrid cloud addresses a variety of needs for critical data
while providing security and scalability for robust applications.
Users can integrate legacy systems with cloud services to
improve resource management. This hybrid approach
balances efficiency, cost effectiveness and data
independence, matching the needs of multiple organizations.

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