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Anything that involves delivering hosted services over the internet is described by a general term called cloud computing. These internet services are categorized into 3:
· Infrastructure as a service (IaaS)
· Software as a service (SaaS)
· Platform as a service (PaaS)
Also, the cloud can be:
· Public – It sells services to anyone over the internet
· Private - This is a proprietary network or data center that offers hosted services to a limited number of people, with specific permissions and access settings
Cloud computing aims to provide easy and scalable access to computing resources and information technology services. It is a quite popular field and has been deployed by eminent resource service providers such as Google and Amazon.
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Our online cloud computing experts define cloud infrastructure as the hardware and software components required to properly implement a cloud computing model. We can also think of cloud computing as utility computing or on-demand computing. A cloud symbol is often used to represent the internet in diagrams and flowcharts. That is what inspired the name of cloud computing.
Three distinct characteristics differentiate cloud computing from traditional web hosting:
· Cloud computing is typically sold by the minute or the hour. Computing power can be accessed in large amounts on-demand by users.
· Cloud computing is elastic. This means that users can have as much or as little of a service as they want at any given time.
· Since the consumer needs nothing but a personal computer and internet access, the service is fully managed by the provider. Significant innovations in access to high internet speed as well as virtualization and distributed computing have accelerated interest in cloud computing
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Cloud computing has a myriad of characteristics. We have mentioned some of them below:
· Self-service provisioning: Internet services end-users can get computer resources for almost any type of workload on-demand. For example, you can ask for the provision of computing capabilities like server time and network storage, which eliminates the need for IT administrators to manage computing resources.
· Elasticity: It is easy for companies to scale up as computing needs increase and a scale down when demand decreases. This saves these companies from investing in local infrastructure which may or may not remain inactive.
· Pay per use: Users only pay for resources and workloads that they use since computer resources are measured at a granular level.
· Workload Resilience: To make sure that there is resilient storage and all users’ essential workloads are running, cloud service providers usually implement redundant resources, often across multiple global regions.
· Flexibility in Migration: You can move your workloads from and to different cloud platforms as you desire and that too automatically. This guarantees better cost-saving and the use of new services as they emerge.
· Access to a broad network: Any cloud user can upload or access cloud data from anywhere using any device as long as they have an internet connection.
· Resource pooling and Multi-tenancy: Multi-tenancy means that several customers can share the same physical infrastructure or application while still retaining their privacy and security. On the other hand, resource pooling means cloud providers use the same physical resources to service many customers.
In this type of deployment model, services are provided to internal users from a business data center. The organization or firm sets up and maintains its own underlying cloud infrastructure. A private cloud showcases the versatility and convenience of the cloud. It preserves the management, control, and security that is common with local data centers.
Also, IT chargeback may be used or not to bill internal users for services. Some of the common private cloud technologies include VMware and OpenStack. Do not hesitate to contact us if you encounter a hitch on the task allotted to you.
In this deployment model, cloud services are delivered over the internet by a third party. These services are sold on demand, typically by minutes or hours. However, long-term commitments are also available for several other services. Additionally, in a public cloud model, customers pay for CPU cycles, storage, or bandwidth that they consume.
Some of the leading providers of public cloud service include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM.
A hybrid computing deployment model combines public cloud services and on-premises private cloud. It also has an orchestration and automation between the two cloud models. In the hybrid model, the private cloud service is used by firms to run mission-critical workloads or sensitive applications.
On the other hand, the public cloud is used to handle workload bursts or spikes.
A hybrid cloud model strives to create a unified, automated, and scalable environment. This environment takes advantage of all that public cloud infrastructure has to offer while still maintaining complete control over mission-critical data.
Today, organizations are embracing the multi-cloud model which uses multiple Infrastructure as a Service (IaaS) providers. In this model, applications can migrate between two different cloud providers or even operate concurrently across multiple cloud providers. There are several reasons why organizations adopt the multi-cloud model.
One of the reasons is to minimize the risk of a cloud service outage. Also, a multi-cloud model allows end-users to take advantage of more competitive pricing from a particular provider. The differences between the services and APIs provided by cloud providers can pose a challenge to multi-cloud implementation and application development.
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