Types of Cloud Computing Services

Types of Cloud Computing Services

Types of Cloud Computing Services

Cloud computing is a just term which refers to a collection of services that offer businesses a cost-effective solution to increase their IT capacity and functionality.

Relying on their specific needs, organizations can choose when, where, and how they use cloud computing to ensure an coherent and reliable service. All Cloud deployment models are based on the Virtualization but at different terms of location, accessibility, storage capacity, and more.

Depending on the type of data you are looking with, you will want to compare Public, Private, Hybrid, and Community Clouds in terms of different levels of security they offer and the required management.

Public Cloud

The whole computing infrastructure is located on the premises of the CSP that offers Cloud services over the internet. This is the most cost-effective option for those individuals/organizations that do not want to invest in IT infrastructure. In a Public Cloud surrounding, the resources are shared between multiple users who are also known as ‘Tenants’. The cost of using Cloud services is given by the usage of IT resources consumed.

Private Cloud

Private Cloud gets dedicated infrastructure that chose by Individuals/organizations that is not shared by any other individual/organization. The highest level of security and control is given while using a private network. The costs are rely on an individual/organization and are not shared with any other. Overseeing of Private Cloud is taken care of by the user and the CSP doesn’t provide any Cloud management services.

Hybrid Cloud

This Cloud deployment model incorporates the characteristics of both Public Cloud and Private Cloud. Hybrid Cloud allows the sharing of data and applications between Public and Private Cloud domain. Organizations mainly use Hybrid Cloud when their pre-suppose infrastructure requires more scalability, so they go with scalability on Public Cloud to meet fluctuating business objectives. Organizations can keep their sensitive/crucial data on their Private Cloud when winning the power of the Public Cloud.

Community Cloud

It is a Cloud infrastructure that is shared by users of the common industry or by those who have same objectives. After better understanding the computing needs of a community as there are many factors including compliances and security policies which need to be included in the community Cloud infrastructure this Cloud infrastructure is built.

The Cloud Service Models are Classified As:

All public cloud computing services are relying upon the same conceptual framework of remote infrastructure powered by servers housed in a data center. Each layer is more expertise than the one below it, but it’s built upon the same basic structure. The lower layers are much wider, offering their customizability, versatility, and wide range of applications, while the upper layers are narrower because they’re purposefully built for a specific assignment.

Infrastructure as a Service (IaaS)

IaaS is the most comprehensive and flexible type of available cloud service. Basically, it provides a complete virtualized computing infrastructure that is managed over the internet. An IaaS provider oversees the physical end of the infrastructure in a data center, but allows customers to fully customize their specific needs through virtualized resources. With this, the audience can purchase, configure, install, and manage any software they want to use, including things like OS, applications, business analytics, and development tools.

IaaS overcomes the capital expense of building up in-house infrastructure.

Examples: Microsoft Azure, Cisco Metacloud, Amazon Web Services (AWS), Google Compute Engine (GCE).

Platform as a Service (PaaS)

PaaS provides the framework required to build, test, deploy, and update software products. It make use of the same basic infrastructure of IaaS, in addition with the OS, middleware, development tools, and database management systems required to create software applications.

PaaS is tremendously helpful for any oragnizations that develops software and web-based applications. Many of the tools needed to be developed for multiple platforms can be quite expensive as such compatible with computers, mobile devices, browsers, etc. By using PaaS, customers can access the development tools they need and when without having to purchase them outright. Most PaaS tools offer immense pre-coded applications built into the platform, which can greatly reduce coding time and help companies, get their products to market speedy.

Examples: AWS Elastic Beanstalk, Google App Engine, Microsoft Azure, Apache Stratos.

Software as a Service (SaaS)

Most people are familiar SaaS form of cloud computing. Situated at the top of above two, SaaS is a fully-developed software service ready for being purchased and used over the internet on a subscription basis. It also manages the infrastructure, operating systems, and data necessary to deliver the program, ensuring that the software is available when and where customers wish it.

SaaS applications allow companies to get up and run quickly as well as scale operations rapidly. It Can be accessed easily by the smallest to biggest organizations, offering them with tools that allow them to grow their businesses more effectively.

Examples of SaaS: Microsoft Office 365, Cisco WebEx, Google Apps.

Function-as-a-Service (FaaS)

Also known as Serverless computing, FaaS allows you to execute code without having to allocate processing resources ahead of time. The cloud provider handles the infrastructure. Functions scale automatically, an excellent fit for dynamic workloads that fluctuate in terms of resource observations. Customers only pay as per their usage of resources.

Most FaaS applications are quite simple and can be deployed quickly. The cloud audiences just need to upload the complied function code and tell the platform how to allocate resources when it executes. The main drawback to FaaS is execution time, as functions need to allocate resources each time they run, there can be slight performance lags if the application requires a lot of computing power or executes during peak usage times.

Examples of FaaS: AWS Lambdas, Azure Functions.

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