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Categories of cloud servers

Public Cloud: Resources controlled by outside suppliers are made available online. A private cloud is a dedicated infrastructure that offers better security and control to only one enterprise. Hybrid clouds provide flexibility and scalability by combining elements of public and private clouds.

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Categories of cloud servers

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  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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