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What Is an Cloud Computing? Roles, Skills, Tools, Salary & Career Scope

By Vikram Singh

Updated on Sep 22, 2026

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Cloud Computing is an essential element for conducting current businesses. It enables businesses to utilize computing services without having to rely on their own physical infrastructure for the same.  

  • Cloud computing involves the on-demand provision of various computing resources such as servers, storage, databases, networks, and software through the Internet using the pay-as-you-go payment system.

  • The concept of what is Cloud Computing is basically related to the ability of individuals or organizations to request, manage, consume, and scale computing services using cloud-based infrastructure. 

  • Types of Cloud Computing include IaaS, PaaS, and SaaS in addition to cloud deployment models that include public cloud, private cloud, and hybrid cloud. Cloud technologies include AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, and Terraform amongst others. 

In this blog, you will find all the important information about what is cloud computing definition, how what is meant by cloud computing, various Cloud Computing models and deployment models, top skills and tools, various cloud career options and salaries in India for those, as well as what factors to consider while choosing Cloud Computing as a career. 

What Is Cloud Computing? Types, Skills, Tools and Career

Cloud Computing is an approach wherein resources like servers, storage, database, network, application, processing power, etc., are accessed via the internet. There is no need to own and manage the physical infrastructure, but one can use the resources of the cloud provider based on requirements. 

Cloud Computing in Simple Words 

  • Cloud Computing is a way of delivering computing resources via the internet. 

  • The term “cloud” refers to the remote servers and infrastructure located at the data center. 

  • These resources can be accessed by using websites, applications, APIs, and other applications. 

  • Cloud resources may include storage, servers, database, network, application, and processing power. 

  • Most of the services may be scaled up or down based on the workload requirement. 

What is cloud computing with example?

  • Cloud storage: Saving files online and accessing them from multiple devices.

  • Web-based applications: Using software through a browser without managing the underlying servers.

  • Online collaboration: Multiple users working on documents stored remotely.

  • Cloud hosting: Running websites and applications on cloud infrastructure.

  • Online backups: Storing copies of data on remote infrastructure.

Cloud Computing vs Traditional Infrastructure

Aspect 

Traditional Infrastructure 

Cloud Computing 

Hardware 

Organization purchases infrastructure 

Provider operates infrastructure 

Location 

Organization's premises/data center 

Provider's data centres 

Scaling 

Often requires additional hardware 

Resources can be adjusted more easily 

Maintenance 

Organization manages physical infrastructure 

Provider manages underlying infrastructure 

Cost model 

Higher upfront infrastructure investment may be required 

Often usage-based or subscription-based 

How Does Cloud Computing Work?

Cloud Computing connects users and applications with computing resources hosted in cloud data centres. A request is sent through a network, the cloud platform provides the required service, and the provider manages the underlying infrastructure while customers manage the resources assigned to them.

1. Requesting Cloud Resources

  • A user or application requests a resource such as a virtual server, database, storage, or application service.

  • The request can be made through a cloud console, application, API, or command-line interface.

2. Accessing the Cloud Platform

  • The request reaches the cloud platform through the internet or another supported network.

  • The platform checks authentication, permissions, and configuration before providing access.

3. Providing the Required Resource

  • Cloud infrastructure provides the requested computing service.

  • The physical servers, storage systems, and networking equipment are maintained by the provider.

4. Managing Resources

  • Customers manage the resources and services included in their responsibility.

  • Providers manage the underlying physical infrastructure and other components according to the service model.

5. Scaling Resources

  • Cloud resources can often be increased when workload demand rises.

  • Resources can also be reduced when demand falls, depending on the service and architecture.

Cloud Computing Process

Step 

What Happens 

Request 

User requests a cloud resource 

Access 

Request reaches the cloud platform 

Authentication 

Identity and permissions are checked 

Processing 

Required resource is provided 

Management 

Provider manages underlying infrastructure 

Scaling 

Resources can be adjusted according to workload 

What Are the Main Types of Cloud Computing?

Cloud Computing can be categorized according to service models and deployment models. While the service models help determine the type of technology services provided by the cloud service providers, deployment models describe how a particular cloud environment is structured and used. 

IaaS: Infrastructure as a Service 

  • Offers virtualized infrastructure including hardware, storage, and networking. 

  • Usually, there is more control offered over operating systems, applications, and configuration settings. 

  • Applicable in situations where an organization requires greater control over their computing environment. 

PaaS: Platform as a Service 

  • Offered as a platform where developing, testing, and deployment of applications becomes easy. 

  • Mostly, developers can focus on building applications rather than infrastructure. 

  • Useful when organizations wish to build applications without having to worry about the entire server environment. 

SaaS: Software as a Service 

  • Provided as ready-to-use software via the Internet. 

  • There is very little need for users to worry about the underlying infrastructure and software environment. 

  • Most often, users only manage application access and configuration. 

IaaS vs PaaS vs SaaS

Type 

Provides 

Main User Focus 

IaaS 

Servers, storage, networking 

Managing systems and applications 

PaaS 

Application development platform 

Building and deploying applications 

SaaS 

Ready-to-use software 

Using and configuring software 

Cloud Deployment Models

Public Cloud 

  • The cloud infrastructure is managed by a cloud service provider. 

  • The services are offered to several users at once. 

  • Typically used for websites, applications, software development, data storage, analysis, etc. 

Private Cloud 

  • The cloud computing environment is managed by a single organization. 

  • Offers more control over the environment and configuration. 

  • Can either be hosted by the company itself or an external provider. 

Hybrid Cloud 

  • The combination of cloud infrastructure with private or on-premises infrastructure. 

  • Helps companies retain some workloads in their own environment while using cloud computing services for others. 

  • Suitable for companies that manage legacy and cloud computing environments simultaneously. 

What Skills Are Required for Cloud Computing?

The IT Infrastructure, Networking, Operating System, Security, Automation and problem-solving skills are some of the skills needed for Cloud Computing. The list of skills may differ depending on the specific job role. A Cloud Engineer, DevOps Engineer, Cloud Security Engineer and Cloud Architect will have different needs regarding the level of skills required. 

Technical Skills 

Cloud Basics 

  • Learn IaaS, PaaS, SaaS, public, private, and hybrid cloud. 

  • Study virtual machines, storage, networking, scalability, and availability. 

  • Learn the provisioning and managing of cloud resources. 

Networking 

  • Study IP addresses, DNS, TCP/IP, routing, subnets, firewalls, and load balancing. 

  • Learn the communication between applications, servers, and users over the network. 

  • Network-related skills are especially critical for infrastructure and troubleshooting positions. 

Linux and Operating Systems 

  • Basic knowledge of Linux command line, file permissions, processes, services, and package management. 

  • How applications and services are launched on operating systems. 

  • Linux is frequently used in cloud environments. 

Databases 

  • Basic knowledge of SQL and NoSQL. 

  • How databases should be backed up, replicated, indexed, and how to provide database availability. 

  • Cloud specialists may work with managed database services. 

Security

  • Learn identity and access management, authentication, authorisation, encryption, and network security.

  • Understand the shared-responsibility approach used in cloud environments.

  • Learn how permissions and configurations can affect cloud security.

Scripting and Programming 

  • Basic scripting may come in handy for automating the routine infrastructure and administration tasks. 

  • Python, Bash, and PowerShell are some technologies that might be helpful. 

  • The amount of programming needed varies based on the role. 

Containers and DevOps 

  • Study container technology and related tools like Docker. 

  • Get familiar with concepts of container orchestration (Kubernetes). 

  • Get familiar with CI/CD, IaC, version control, and deployment automation. 

Soft Skills 

  • Problem-solving: Determine the source of problems with technical aspects. 

  • Troubleshooting: Diagnose errors in related systems. 

  • Analytical thinking: Be able to understand the performance and resources of the system. 

  • Communication: Discuss the technical issues within the team as well as with other parties.  

  • Continuous Learning: Always stay updated with respect to new developments in cloud technology and cloud services. 

Which Tools and Platforms are Used in Cloud Computing? 

The cloud computing experts use various tools based on their requirements for managing infrastructure, development, automation, security, monitoring, and deployment. 

Category 

Examples 

Purpose 

Cloud Platforms 

AWS, Microsoft Azure, Google Cloud 

Cloud infrastructure and services 

Containers 

Docker, Kubernetes 

Containerisation and orchestration 

Infrastructure as Code 

Terraform 

Infrastructure automation 

Version Control 

Git, GitHub 

Tracking code and configuration changes 

CI/CD 

Jenkins, GitHub Actions 

Build and deployment automation 

Monitoring 

Cloud monitoring and observability tools 

Tracking system health and performance 

Operating Systems 

Linux 

Running and managing workloads 

Databases 

Cloud SQL and NoSQL databases 

Storing and managing data 

Important Points About Cloud Tools

  • Learning every cloud tool is not necessary for beginners.

  • A learner can start with one major cloud platform and understand its core services.

  • Tools should be selected according to the targeted role and job requirements.

  • Cloud platforms provide similar categories of services but use different product names and interfaces.

Cloud Computing vs Related IT Roles

Cloud Computing covers several IT functions, so cloud-related professionals do not all perform the same work. Cloud Engineers generally focus on infrastructure, Architects focus on system design, DevOps Engineers focus on automation and delivery, while security and data professionals specialise in their respective areas.

Role 

Primary Focus 

Typical Work 

Cloud Engineer 

Cloud infrastructure 

Deploying and managing cloud resources 

Cloud Architect 

Cloud architecture 

Designing cloud environments 

DevOps Engineer 

Automation and operations 

CI/CD and deployment automation 

Cloud Administrator 

Cloud operations 

Managing resources and configurations 

Cloud Security Specialist 

Security 

Identity, access and security controls 

Data Engineer 

Data infrastructure 

Data pipelines and processing systems 

Cloud Engineer vs Cloud Architect

  • Cloud Engineer: More involved in implementing, configuring, maintaining, and troubleshooting cloud infrastructure.

  • Cloud Architect: More focused on designing the overall cloud architecture.

  • The two roles can overlap depending on the organisation and project.

Cloud Engineer vs DevOps Engineer

  • Cloud Engineer: Primarily works with cloud infrastructure and its operation.

  • DevOps Engineer: Focuses more on automation, CI/CD, deployment, monitoring, and collaboration between development and operations.

  • Some organisations combine responsibilities from both roles.

Cloud Engineer vs Data Engineer

  • Cloud Engineer: Focuses mainly on infrastructure and cloud environments.

  • Data Engineer: Focuses on data pipelines, data processing, storage, and data platforms.

  • Data Engineers may use cloud infrastructure extensively without being primarily responsible for general cloud infrastructure.

What Is the Salary of Cloud Computing Professionals in India?

Cloud Computing includes several roles, so salaries vary between Cloud Engineers, DevOps Engineers, Cloud Architects, Security Specialists, and other professionals. As an indicative reference, Indeed reported an average Cloud Engineer salary of ₹10.68 lakh per year in India in September 2026.

Factor 

Impact on Salary 

Experience 

Senior roles generally involve greater responsibility 

Job Role 

Different cloud roles have different salary structures 

Technical Skills 

Infrastructure, security, automation, and architecture skills can affect opportunities 

Location 

Salaries vary between cities and regions 

Organization 

Compensation differs between companies and industries 

Certifications 

Relevant certifications can strengthen a profile but do not guarantee a salary 

Is Cloud Computing a Good Career? 

It might suit those who are interested in IT infrastructure, networking, automation, security, and application deployment. However, cloud computing positions are associated with technical education and regular upskilling. Having knowledge of what is involved in terms of duties and skills required would help the person determine whether this career suits him or her. 

You Might Consider Cloud Computing if you: 

  • Enjoys understanding the way technology and IT infrastructure work. 

  • Likes dealing with infrastructure and technical issues. 

  • Find networking, Linux, servers, or cloud computing. 

  • Cloud Infrastructure, DevOps, Security, or Architecture career paths suit the person. 

  • Find learning new technologies regularly and it is comfortable. 

Obstacles One Should Consider 

  • Technologies change often: New services and functions are implemented constantly in cloud platforms. 

  • Technical knowledge is important: Roles in the field of infrastructure imply knowledge in networking, operating systems, databases, and security. 

  • Troubleshooting might be complicated: An application can use a few interrelated cloud services. 

  • Security matters: Incorrect permissions or configuration can pose some threats. 

  • Upskilling is regular: People might have to learn new tools depending on their job and environment. 

Conclusion

Cloud Computing provides computing-related services like servers, storage, database, network, and software services through cloud platforms. To put it simply, the cloud in Cloud Computing is the remote servers and infrastructures that provide these services through the internet. Some popular models are IaaS, PaaS, SaaS, Public Cloud, Private Cloud, and Hybrid Cloud. 

For the field of Cloud Computing, skills that learners could acquire for their Cloud Computing jobs include networking, Linux, security, scripting, automation, and cloud platforms. Because Cloud Computing entails a variety of careers, the required skills and salary could differ according to the specific career. 

Vikram Singh

Vikram Singh

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Vikram Singh brings over 5 years of experience in content strategy and technical content creation, with a focus on making complex technology topics easier to understand. A postgraduate in Applied Mathematics, he combines his analytical background with an interest in emerging fields such as Data Science, Machine Learning, and Artificial Intelligence. His working knowledge of Python, SQL, Tableau, and Power BI further supports his ability to translate technical concepts into clear, structured content. His work centres on creating informative content that maintains technical accuracy while remaining accessible to a wider audience. Vikram is particularly interested in digital education and knowledge sharing, and he aims to help readers understand new technologies, their practical applications, and their growing role across different industries.

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