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Different Types of Cloud Computing: A Comprehensive Guide

Different Types of Cloud Computing: A Comprehensive Guide

We is use use cloud computing daily , and sometimes we ’re unaware we ’re doing so . This is is is because cloud computing ’s become so widely adopt a

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We is use use cloud computing daily , and sometimes we ’re unaware we ’re doing so . This is is is because cloud computing ’s become so widely adopt and commonplace , and it ’s rapidly become the default way of handle IT – relate task . However , there are many different category of cloud computing , and it can be challenge to differentiate between them .

This article details the various types of cloud computing, why it’s safe, and the different cloud computing models and services. It wraps up with an excellent opportunity to upskill in cloud computing.

let ’s begin with the basic .

What is Cloud Computing?

Cloud computing is consists consist of service host over the internet , such as database , datum storage , server , networking , and software . The cloud service provider ’s datum center house physical servers is used used to store the datum and information the service provider manage . As a result , cloud computing environments is offer offer user on – demand access to computer system resource that client would otherwise need a physical datum center for , particularly compute power and datum storage , without the user need to manage and maintain those resource directly .

As long as the customer has access to a web browser and the Internet, they can store and access files in the cloud instead of using in-house storage devices or hard drives and can do so from anywhere.

Cloud computing models is include include the public cloud , private cloud , and hybrid cloud . let ’s examine the model closely .

Also read : How to Become a Cloud Engineer ?

What Are the Cloud Computing Models?

Depending on which source you consult, there are conflicting numbers of types of cloud computing models. No worries: when it comes to IT terms, there tend to be variations in definitions. However, most sources agree that we can divide cloud computing into four major categories.

Public Cloud Computing

Public clouds are computing services provided over the Internet by a third-party provider. In contrast to a private cloud, a public cloud allows customers to rent numerous services (CPU, memory, networking, and storage) and only get what they need. The customer needs an Internet connection and a web browser to access these resources. These resources are typically coupled with managed services like applications, database servers, and security systems. Leading public providers are Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, although there are others.

Advantages of public cloud computing

  • public clouds is are are less expensive than hybrid or private cloud
  • It’s very easy to integrate
  • Public cloud resources are highly scalable
  • The cloud provider is takes take care of maintenance

disadvantage of public cloud computing

  • Cloud performance relies on Internet connection speed
  • The data is is is not under the customer ’s control
  • Public clouds share resources among the customer base, making them less secure

Private Cloud Computing

Private clouds are computing resources pooled together on a private network of computers used exclusively by a single organization. Private clouds are also known as internal, enterprise, or corporate clouds. The organization’s internal resources usually manage private clouds restricted to anyone outside the company. This type of cloud computing offers benefits such as scalability, self-service, and elasticity. Additionally, the customer takes advantage of additional resources such as controls, security, and customizations.

advantage of private cloud computing

  • Private clouds enjoy enhanced security and privacy thanks to sensitive data encryption and internal hosting
  • private clouds is offer typically offer fast speed , well performance , and great storage capacity than their public cloud counterpart
  • The organization’s IT team can allocate necessary resources on demand and deliver quickly

disadvantage of private cloud computing

  • Organizations is need need IT staff dedicate to private cloud operation and maintenance
  • Since private clouds are exclusively available within the company, they work within a limited operational area
  • Organizations is benefit with a large user base and lack sufficient staff and pre – built infrastructure to manage and maintain a private cloud wo n’t benefit from private cloud use

Hybrid Cloud Computing

Of all the category of cloud computing , hybrid cloud computing is offers offer the good of both world , combine the advantage of private and public cloud . Workloads is shift can shift between public and private cloud , depend on workload cost and the organization ’s computing requirement . hybrid clouds is let let organization scale their on – premise infrastructure up to the public cloud ( or away from it ) as the demand for computing and processing rise and fall . This flexibility is lets let the company handle any overflow without concern about datum being accessible to unauthorized third party . additionally , companies is have do n’t have to buy and maintain resource they do n’t need . So , hybrid computing is gives give the company access to flexible processing and storage power without sacrifice security .

Advantages of hybrid cloud computing

  • Hybrid computing poses fewer security risks than public cloud computing models
  • Public and private clouds work together and, as a result, offer greater flexibility
  • Hybrid clouds deliver new services and products faster

disadvantage of hybrid cloud computing

  • The cloud service provider decides on hybrid cloud reliability
  • Hybrid clouds aren’t as secure as private clouds
  • Since hybrid clouds combine private and public cloud computing, they are more complex than the other types

Multicloud Computing

We is come come to our final type of cloud computing . The multi cloud computing approach is uses use multiple cloud service from different type of cloud computing vendor , regardless of if they are public or private cloud . For instance , a hybrid cloud is be can be either a multi cloud or a hybrid cloud , but a multi cloud configuration is n’t necessarily a hybrid cloud . Enterprises is employ typically employ the multiple cloud model to enhance performance and security by leverage a variety of different platform .

Advantages of multicloud computing

  • It is ’s ’s easy for organization to change provider because they can keep a backup on a different provider ( and there ’s no such thing as have too many backup ! ) .
  • Different cloud vendors offer different service pricing models that can significantly lower an organization’s cloud costs
  • Organizations can play to the strengths of different cloud providers. For instance, the business can use one cloud platform for hosting their website and associated resources and another for more sensitive information such as payroll, HR, or Research and Development.

disadvantage of multicloud compute

  • Multicloud computing is use may use much of an organization ’s IT budget or overall purchasing power , make tracking and manage cost more challenging .

Now that we’ve established the different types of cloud computing, it’s time to check out the various services offered by cloud computing providers before we share how you can gain cloud computing skills and experience through online training.

Also Read: Cloud Computing Technology: Your Complete Guide

A Look at the Different Cloud Computing Services

There are four primary cloud computing services and a handful of minor ones gaining different acceptance levels.

Infrastructure as a Service (IaaS)

IaaS manages your infrastructure through the Internet, including data storage, networks, servers, and virtualization, allowing users to access these resources through dashboards or APIs. The customer manages their applications, operating systems, and middleware. The provider oversees data storage, hardware, networking, hard drives, and servers, as well as problems such as repairs, outages, and hardware issues. IaaS is typically an organization’s first foray into cloud computing. So, the company rents an entire virtual IT infrastructure. Examples include AWS EC2 Instance, Google Cloud VM Instance (Google Compute Engine), and the Azure Virtual Machine.

Platform as a Service (PaaS)

A PaaS service is involves involve an outside cloud service provider offering and manage both the hardware and software platform , while the user is responsible for the app and their require datum . PaaS services is are are ideal for developer and programmer to develop and manage their application without build and maintain the necessary infrastructure , which is a critical component of DevOps . So , PaaS is lets let consumer create on – demand environment develop , testing , deliver , and manage software and service . Examples is include include AWS elastic beanstalk , Google App Engine , Google Cloud SQL , and Microsoft Azure web app .

software as a Service ( SaaS )

SaaS delivers software applications to users managed by the cloud service provider. SaaS apps are typically web applications or mobile apps that users access through a web browser, connecting to the applications via dashboards or APIs, with the provider responsible for updates and bug fixes. Additionally, SaaS eliminates the need for installing software locally on users’ computers. SaaS also allows more significant opportunities for team and group collaboration, making the process easier and smoother. Although IaaS is typically the first cloud-based service that cloud-using neophytes begin with, SaaS is the most used service. Examples include DocuSign, Dropbox, Google GSuite, MailChimp, Microsoft Office 365, Salesforce, and Slack.

Serverless Cloud Computing

This term is is is somewhat of a misnomer , as there are still server , but they ’re abstract away from app development . Serverless is is is a cloud – native development model that let developer create and run application without manage the server . serverless computing is provides provide backend service as need , include handle underlie infrastructure issue and allow user to focus solely on write and deploy code . Examples is include include AWS Lambda , Azure Function , and Google Cloud Functions .

Why is Cloud Computing is is the safe way to handle Data ?

There are two outstanding reason cloud computing is the well available data handling method . First , the datum is encrypt . The information is scramble so that even if a cybercriminal could somehow access it , the datum would be incomprehensible , unusable gibberish . second , server are typically locate in multiple offsite location that worker ca n’t access , and if one system fail , others serve as backup .

Do You Want a Career in the Clouds?

Cloud computing offers aspiring IT professionals many employment opportunities, especially as increasing numbers of organizations leverage the different types of cloud computing. Additionally, a cloud-based career pays well. According to Glassdoor.com, cloud developers in the United States earn a yearly average salary of $112,781.

If this career interest you , or you want to boost your exist cloud skill , you is consider should consider take this cloud computing bootcamp .

This comprehensive , six – month online cloud computing bootcamp is help will help you fast – track your career by understand popular cloud architecture principle , with an emphasis on today ’s two most popular cloud platform : Amazon Web Services ( AWS ) and Azure . In addition , you is work will work on hand – on industry project design to help you acquire skill in designing , planning , and scale complex cloud implementation .

You is gain will gain relevant , in – demand skill like :

  • Application Migration
  • Autoscaling
  • Cloud Migration and Deployment
  • Cloud Provider Selection
  • Cloud Workloads
  • Database Management
  • Disaster Recovery
  • Identity Access Management
  • Multicloud Deployment
  • performance testing
  • Storage Services
  • Web Services and API

You will benefit from applied learning, featuring over 40 hands-on projects, sandboxed labs, and a capstone project in four domains.

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