Cloud computing means renting computing power, storage and software over the internet instead of buying and running your own hardware. It changed how businesses of every size get online, but it is not magic and not always cheaper. This guide explains what cloud computing is, the service and deployment models, the real benefits and trade-offs, and how to choose the right level of cloud for your project.
Cloud computing delivers servers, storage, databases and software on demand over the internet, paid for as you use them. It comes in three main service models: IaaS (you rent virtual machines and manage everything on them), PaaS (you deploy code and the platform runs it) and SaaS (you use finished software). It is flexible and fast to start, but you still own your data, your security settings and your costs. Choose the model by how much of the stack you want to manage yourself.
1. What cloud computing is
A service counts as cloud computing when it has these five traits, taken from the widely used NIST definition:
Under the surface, clouds rely on virtualisation and containers to share hardware between customers. For how those layers fit together, see virtualization vs cloud computing vs containerization.
2. A short history
The idea is older than the internet as we know it. In the 1960s, computer scientist J.C.R. Licklider described an "intergalactic computer network" through which anyone could reach programs and data from anywhere, and companies rented time on shared mainframes. The modern cloud took shape in the mid-2000s, when Amazon Web Services began renting storage and virtual servers by the hour. Microsoft Azure and Google Cloud followed, and today thousands of providers, including hosting companies, sell cloud-style services.
3. The three service models
| Model | You get | You manage | Examples |
|---|---|---|---|
| IaaS: Infrastructure as a Service | Virtual machines, storage, networks | The operating system, updates, security and everything you install | A VPS or a cloud virtual machine |
| PaaS: Platform as a Service | A place to run your code | Your application, its settings and its data | App platforms, managed databases |
| SaaS: Software as a Service | A finished application | Your account, users and data | Webmail, accounting software, a website builder |
A fourth pattern, serverless or functions as a service, runs small pieces of code only when they are triggered, and bills per run. It suits event-driven jobs and APIs with uneven traffic.
The further down the table you go, the less you manage and the less you can customise. For a closer look at the middle layer, read what Platform as a Service is.
4. Deployment models
- Public cloud. Services run on a provider's shared infrastructure and are sold to anyone. This is what most people mean by "the cloud".
- Private cloud. Cloud-style infrastructure used by one organisation only, in its own data centre or at a provider.
- Hybrid cloud. A mix of the two, for example customer records kept on private systems and the website in the public cloud.
- Multi-cloud. Using services from more than one provider, to avoid depending on one or to use the best service for each job.
5. Benefits and trade-offs
- No large upfront hardware purchase; start small and grow
- New servers or services in minutes instead of weeks
- Scale up for busy periods and down again afterwards
- Reach your systems from anywhere
- Managed services (PaaS and SaaS) take patching and maintenance off your hands
- You depend on your internet connection and on the provider
- Pay-as-you-go bills can grow quietly, especially data transfer and forgotten resources
- Security is shared: the provider secures the platform, you secure your accounts, data and settings
- Less control over the underlying systems, and moving between providers can be hard
- Cloud does not back up your data by default; you still need a backup plan
A virtual machine can be deleted, a database dropped or an account compromised in the cloud just as on your own hardware. Check what backups your provider includes, keep your own copies of important data somewhere separate, and test that you can restore them.
Two old claims deserve correcting. First, "the provider handles all updates" is true only for SaaS and PaaS; on IaaS, patching the operating system is your job. Second, "your data is automatically stored on multiple servers" depends entirely on the service you choose and how you configure it.
6. Keeping cloud costs under control
- Right-size.Start with the smallest plan that works and grow when monitoring shows you need to.
- Prefer fixed monthly plans for steady workloads.Predictable plans are easier to budget than metered billing for a site with steady traffic.
- Watch the extras.Data transfer out, snapshots, IP addresses and idle test servers add up.
- Tag and review.Know what every resource is for, and delete what nobody uses.
- Mind your data.India's Digital Personal Data Protection Act, 2023 makes where and how you store customers' personal data a planning question, not an afterthought.
7. Trends shaping the cloud in 2026
- AI workloads. Providers sell GPU capacity and ready-made AI services, so small teams can use models without buying hardware.
- Containers everywhere. Applications are packaged as containers and run on managed platforms or Kubernetes.
- Serverless and edge. More code runs close to users, on content delivery networks and edge platforms, to cut delays.
- Hybrid and multi-cloud as the norm. Most organisations mix providers and keep some systems on their own infrastructure.
8. Choosing the right level of cloud, and where Domain India fits
A useful rule: manage only the layers you need to control.
| If you want | Model | Domain India option |
|---|---|---|
| A website and email with no server to look after | Managed shared hosting | cPanel or DirectAdmin hosting |
| A website built and hosted for you | SaaS | AI Website Builder |
| To deploy your own code without managing a server | PaaS | App Platform |
| Your own server with root access | IaaS | VPS, self-managed |
| Email on your own domain | SaaS | Business Email |
On the App Platform, Node.js apps are detected automatically and other languages deploy from a Dockerfile. A Domain India VPS is a KVM virtual machine with full root access; you install, secure and update its software yourself.
- 512 MB RAM per app
- 1 vCPU
- 5 GB NVMe SSD
- PostgreSQL Database
- 1 vCPU
- 2 GB DDR4 RAM
- 64 GB NVMe SSD Storage
- 2 TB Monthly Bandwidth
Prices on the cards are Domain India list prices and exclude 18% GST.
Frequently asked questions
What is cloud computing in simple words?
Cloud computing means using computing resources such as servers, storage, databases and software over the internet, created on demand and paid for as you use them, instead of buying and running your own hardware.
What are IaaS, PaaS and SaaS?
They are the three main cloud service models. IaaS rents you virtual machines and storage that you manage. PaaS runs your code for you without a server to maintain. SaaS gives you a finished application, such as webmail, that you simply use.
Is a VPS cloud computing?
A VPS is a form of Infrastructure as a Service: a virtual machine on a provider's shared hardware, created on demand, with its own operating system that you manage.
Is cloud computing always cheaper?
No. It avoids upfront hardware costs and suits changing workloads, but metered bills can grow with data transfer, idle resources and oversized servers. For steady workloads, a fixed monthly plan is often easier to budget.
Is my data safe in the cloud?
Security is shared. The provider secures the physical infrastructure and platform; you are responsible for strong passwords, access settings, updates on anything you manage, and your own backups.
What is the difference between public, private and hybrid cloud?
A public cloud runs on a provider's shared infrastructure and is sold to anyone. A private cloud serves one organisation only. A hybrid cloud combines the two, keeping some systems private and others in the public cloud.
Ready to choose? Compare the App Platform to deploy code without a server, VPS plans for full control, or open a support ticket if you are unsure which model fits your project.
Node.js is detected automatically; other languages deploy from a Dockerfile.
See App Platform plans