Cloud Deployment Models Explained: Public, Private and Hybrid
When we looked at cloud service models, the underlying question was about responsibility: how the work is divided between you and the cloud provider. Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) describe different ways of dividing responsibility across the technology stack, meaning the layers of hardware and software that support an application.
Cloud deployment models answer a different question.
They describe where resources run and the type of environment in which they are hosted. Are they running in a cloud provider’s data centre, in a private environment dedicated to your organisation, or across a combination of the two?
This is the central distinction between public, private and hybrid cloud.
It is worth separating these ideas from the beginning because they are often confused. Service models ask how much of the technology stack you manage. Deployment models ask where and in what kind of environment your resources are hosted. The two are related, but treating them as the same concept will cause confusion later.
Public cloud
Public cloud means that your resources run in data centres owned and operated by a cloud provider. You access those resources over the internet, while the provider looks after the physical environment behind them, including the servers, networking equipment, power, cooling and building security.
This is usually what people mean when they talk about “the cloud”. You might create a virtual machine, host a web application or store data in a managed database, but the underlying hardware remains the provider’s responsibility. You use the service without needing to buy, install or maintain the equipment yourself.
Most public cloud platforms are multi-tenant. This means that the provider supports many customers through the same large-scale infrastructure. It does not mean that customers can access one another’s systems or data. Providers use isolation controls to keep each customer’s resources separate, even though they operate on a shared platform. Where stronger physical separation is needed, some providers also offer dedicated hardware.
This shared model allows cloud providers to invest heavily in security, monitoring and resilience, meaning the ability of a service to withstand failures and recover from disruption. Because these capabilities are delivered at a very large scale, they may be more sophisticated than those an individual organisation could reasonably build on its own. The provider does not take responsibility for everything, however. Customers must still configure their services securely and control who can access them.
Public cloud is not suitable for every situation. Some organisations must follow strict rules about where data is stored, how systems are operated or whether infrastructure may be shared. These requirements may apply only to certain workloads, meaning the applications or services that use computing resources.
The main advantage is that organisations can use substantial computing capacity without owning the physical infrastructure. New services can be created quickly, expanded when demand rises and reduced again when that demand falls. This ability to respond quickly is known as agility, while the rapid adjustment of capacity is called elasticity. Costs are often consumption-based, so the organisation pays for what it uses rather than buying its maximum expected capacity in advance.
Cloud providers can offer this flexibility partly because of economies of scale. By spreading infrastructure and operating costs across many customers, they can provide access to technology that would be expensive for each organisation to build independently.
The trade-off is that the customer has less direct control over the physical environment. You cannot replace a server yourself or customise every hardware component. For most modern applications, this is a sensible exchange for speed, flexibility and reduced maintenance. It may be less appropriate for specialised, heavily regulated or older systems that depend on particular hardware or operating conditions.
Private cloud
A private cloud is a computing environment reserved for one organisation. It may run in the organisation’s own data centre or be hosted by another company, but the hardware and services are not shared with the public in the same way as a public cloud.
The important difference between a private cloud and traditional internal servers is how people obtain and manage computing resources. With traditional internal infrastructure, someone who needs a new server may have to submit a request to the IT team. An engineer then creates the server, installs the required software, connects it to the network and applies the correct security settings.
In a private cloud, much of this process is built into the system. An authorised user can choose what they need through a portal, such as a virtual machine with a certain amount of memory and storage. The private cloud then creates it from a standard template, connects it to the correct network and applies the organisation’s security rules. This is known as self-service provisioning, because users can request approved resources without waiting for an engineer to complete every step manually.
This does not mean that the IT team is no longer involved. It still designs the templates, sets the rules, maintains the hardware and decides what users are allowed to create. The difference is that routine setup work can happen automatically and consistently.
Simply owning servers does not make an organisation a private cloud. If every server must still be created and configured manually, it is better described as traditional internal infrastructure. A private cloud uses the same hardware more like a service, allowing approved resources to be created when needed without rebuilding everything from scratch.
The main advantage is greater control. The organisation can decide where its systems run, who can access them and how the infrastructure is secured. This can be useful when certain applications must remain in a particular country or building, depend on older technology, or are subject to strict industry rules.
For example, a defence contractor might use a private cloud to run design, modelling or project systems that handle classified or commercially sensitive information. A pharmaceutical company could use one to process confidential drug research, clinical trial data or valuable intellectual property under tightly controlled access. In both cases, the organisation keeps the environment dedicated and secure while still allowing approved computing resources to be created quickly and consistently.
That control also brings more responsibility. The organisation must pay for the environment, maintain it, keep it secure and make sure enough capacity is available. If more computing power is needed, new hardware may have to be purchased and installed.
Private cloud therefore sits between traditional internal infrastructure and public cloud. It offers the control of a dedicated environment, while using portals, templates and automatic setup to provide some of the convenience of public cloud. The key difference is not simply where the servers are located, but whether the environment can provide computing resources as an on-demand service.
Hybrid cloud
Hybrid cloud combines public cloud services with a private environment. An organisation may run some systems through a public cloud provider while keeping others in a private cloud or on on-premises infrastructure, meaning servers and systems housed in facilities it controls, such as its own data centre or server room.
For many established organisations, hybrid cloud is the most practical model. It often develops gradually rather than through a single decision. A company may begin using public cloud services for new projects while continuing to rely on internal systems that have been in place for years.
These older systems are often described as legacy applications. They may still perform an important role, but moving them can be expensive, disruptive or technically difficult. A manufacturer, for example, might keep an internal system that controls factory equipment on-site while using public cloud services for its customer portal and online ordering. A hospital might take a similar approach, keeping patient records in a tightly controlled environment while using public cloud services for its public website or appointment reminders.
Hybrid cloud can also help organisations use newer technology without moving all of their sensitive data. A company might keep confidential information in a private environment but send approved or anonymised data to a cloud-based analytics service. In another case, it might use public cloud infrastructure for disaster recovery, which means restoring systems and data after a serious failure. If its own data centre became unavailable, selected services could be restarted in the cloud.
These examples show the main benefit of hybrid cloud: each workload can run in the environment that suits it best. Newer services may benefit from the speed and flexibility of public cloud, while sensitive or difficult-to-move systems remain private. This allows organisations to modernise gradually instead of attempting one large and risky migration.
The trade-off is complexity. Public and private environments must be connected securely and reliably. Users may also need the same identity and access control across both environments, so that the organisation can confirm who they are and decide which systems they are allowed to use.
Security, monitoring and governance must also work across the whole environment. Governance means the policies and controls used to make sure technology is operated appropriately. Costs can be harder to track as well, particularly when different teams manage public cloud services and internal infrastructure separately.
Hybrid cloud offers flexibility, but it also creates more systems, connections and responsibilities to manage. It can be a sensible way to balance modern cloud services with existing technology, provided the organisation is prepared for that additional complexity.
Comparing the three models
The clearest way to compare the deployment models is to consider where resources run, whether the environment is shared or dedicated, and who controls the underlying infrastructure.

In public cloud, resources run on infrastructure owned and operated by a cloud provider. This offers speed, scale, flexibility and lower initial investment, but it provides less direct control over the physical hardware.
In private cloud, the environment is dedicated to one organisation. This can provide greater control over infrastructure, security and compliance, but the organisation usually carries more responsibility for cost, maintenance, staffing and capacity planning.
Hybrid cloud combines public and private environments. It allows different workloads to run in the locations that suit them best, but the resulting environment is more complex to connect, secure and manage.
None of these models is automatically the best choice. Public cloud is often a practical starting point for modern services. Private cloud may be appropriate when control, compliance or specialised requirements take priority. Hybrid cloud is common when organisations need to balance existing systems with newer cloud services.
The right model depends on the workload, the organisation’s budget and skills, its regulatory obligations and the level of control it requires.
[Image idea (illustration): a simple split scene showing the same set of application boxes in two locations, with a large provider data centre on one side and a smaller in-house server room on the other. A thin line connects the two environments to make the hybrid model concrete.]
A simple way to think about it
It can help to treat deployment models as choices about location and control. Public cloud is similar to using a large professional service provider. You do not own the facilities, but you benefit from the provider’s scale, speed and range of services.
Private cloud is closer to operating a facility dedicated to your organisation. You gain more control, but you also take responsibility for more of the work. Hybrid cloud uses both approaches, keeping some resources in a private environment while using public cloud services where they offer a clear advantage.
That is the central distinction. Service models ask, ‘How much do I manage?’ Deployment models ask, ‘Where and in what kind of environment is it hosted?’ Keeping those questions separate prevents a surprising amount of confusion.