What is cloud computing?
Cloud computing is the delivery of IT resources – compute, storage, databases and software – over the internet. Instead of buying and operating their own hardware, companies use these services flexibly on demand and pay only for what they consume.
Also known as: cloud computing · cloud services · public cloud · private cloud · hybrid cloud · multi-cloud · cloud
Where cloud computing is used
Cloud computing pools compute, storage, networking, databases and ready-made software in large data centers and delivers them over the internet. Companies book exactly the resources they need, scale up or down on demand and pay by usage – without procuring, maintaining and securing servers themselves.
It is commonly split into three service models: IaaS (Infrastructure as a Service – virtual servers and storage), PaaS (Platform as a Service – a ready development and runtime platform) and SaaS (Software as a Service – finished applications). The higher the model, the less the customer has to operate themselves.
Cloud vs. on-premise: the difference
On-premise means hardware and software run in the company's own data center or server room – the company buys, operates and maintains everything itself. That offers maximum control but ties up capital, requires in-house expertise and only scales by adding more hardware.
With cloud computing, operations sit with the provider. The benefits are fast provisioning, elastic scaling and predictable, usage-based costs; in return you give up some control and must deliberately address data location, vendor lock-in and the shared responsibility model. In practice the decision is rarely either/or but a question of the right mix per use case.
Cloud types: public, private, hybrid & multi-cloud
Beyond the service models, clouds are distinguished by their deployment models:
- Public cloud: a provider's shared infrastructure (e.g. Microsoft Azure) – highly scalable and cost-efficient.
- Private cloud: operated dedicated to one company – more control and isolation, often for sensitive data or regulatory needs.
- Hybrid cloud: a combination of public and private cloud or on-premise, with workloads placed deliberately – a common, pragmatic route for SMEs.
- Multi-cloud: using several cloud providers in parallel to reduce dependency or combine specialized services.
Benefits & typical use cases
Cloud computing pays off wherever flexibility, fast provisioning and scalability matter.
- Launching new applications quickly without procuring hardware
- Elastic scaling for fluctuating load (e.g. seasonal business)
- Running SaaS products and multi-tenant platforms
- Data platforms, backups and disaster recovery without your own data center
How it differs from related terms
Cloud computing is the umbrella term; the concrete technical implementation happens via cloud infrastructure (compute, storage, networking). SaaS is a form of cloud computing at the application level, and cloud governance keeps a cloud environment controllable across cost, security and permissions.
How smiit works with it
smiit focuses on Microsoft Azure and advises SMEs in a technology-neutral way on which workloads belong in the cloud and which are better kept on-premise or hybrid. For Claimity AG, this produced a secure, scalable cloud environment on Azure – including hardened infrastructure, governance and GDPR-compliant operation.
Common mistakes & misconceptions
- Cloud computing is not simply about the servers being somewhere else — at its core it is on-demand, elastically scaling resources billed by usage.
- Public cloud is wrongly seen as insecure and private cloud as automatically safer; in reality clean implementation (configuration, identities, data protection) decides security, not the deployment model.
- Hybrid cloud is not a bit of cloud and a bit of on-premise, but a deliberate placement of workloads based on requirements such as data protection, latency and cost.
Frequently asked questions
Is the cloud more or less secure than on-premise?
Neither, in blanket terms. Major cloud providers offer a very high security level, but under the shared responsibility model configuration, identities and data protection remain the customer's job. Security depends on clean implementation, not the operating model alone.
Is cloud computing automatically cheaper?
Not necessarily. Without cost management and right-sizing, idle or oversized resources can get expensive. The advantage is flexibility and predictable, usage-based costs – not automatically the lowest price.
Do we have to move entirely to the cloud?
No. Many companies run hybrid: sensitive or special workloads stay on-premise, while scaling or new applications run in the cloud. What matters is the right mix per use case.
Does data stay GDPR-compliant in the cloud?
It can, but this depends on the provider, region and configuration. What matters is choosing a data center in the EU, clear arrangements for data processing as well as suitable measures for access control and encryption.
What does the shared responsibility model mean?
It describes that the cloud provider ensures the security of the infrastructure, while the customer remains responsible for secure configuration, identities, permissions and their own data. Knowing this boundary helps avoid typical gaps in cloud security.
Related terms
Sources & further reading
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