Cloud Deployment Models

A cloud deployment model defines the type of cloud environment primarily by its ownership, size, and access. While delivery models describe what is provisioned, deployment models describe where and by whom the cloud is operated.

Model	Owned by	Accessible to	Administrative control
Public	Third-party provider	General public / any consumer	Provider-managed
Private	Single organization	Internal departments only	Organization-managed
Multicloud	Multiple third-party providers	The consuming organization	Distributed across providers
Hybrid	Mixed (private + public)	Internal and/or external	Split between org and provider

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Public Cloud

A publicly accessible environment owned and maintained by a third-party cloud provider.

• IT resources are provisioned using standard delivery models (IaaS, PaaS, SaaS)
• Generally offered at a cost; may also be commercialized via other models (e.g., advertising-funded free tiers)
• The provider is fully responsible for the creation and ongoing maintenance of the infrastructure

When to use: General-purpose workloads, new projects without specific compliance or data residency requirements, organizations that want minimal infrastructure management overhead.

Note

Public does not mean unsecured — public clouds offer extensive security controls. “Public” refers to who owns the infrastructure, not who can access your data.

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Private Cloud

A cloud environment owned entirely by a single organization, enabling centralized IT resource access across different internal departments or physical locations.

• Because it is a controlled internal environment, many risks associated with public cloud (overlapping trust boundaries, shared tenancy) do not apply
• Administration can be handled by internal staff or outsourced to a third party
• The organization simultaneously acts as both cloud provider (the department provisioning the cloud) and cloud consumer (the departments using it)

Data terminology clarification:

• IT resources hosted within the private cloud and made remotely accessible to internal consumers are considered cloud-based
• IT resources hosted outside the private cloud boundary, even if on the same physical premises, are considered on-premises

When to use: Highly regulated industries (finance, healthcare, government), workloads with strict data sovereignty requirements, organizations that need direct hardware control or have invested significantly in on-premises infrastructure.

Tip

A private cloud physically located on your own property is still a cloud — what makes it a cloud is that resources are remotely provisioned and metered, not where the hardware sits.

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Multicloud

A cloud consumer organization utilizes services and IT resources from multiple public clouds offered by different providers simultaneously.

Strategic reasons for multicloud adoption:

Motivation	What it achieves
Redundancy	If one provider has an outage, workloads on other providers continue
Vendor independence	Reduces lock-in to any single provider’s proprietary APIs or pricing
Best-of-breed services	Leverage each provider’s strongest offerings (e.g., GCP for ML, AWS for breadth, Azure for Microsoft ecosystem)
Geographic coverage	Use providers with the best regional presence for specific markets

Caution

Multicloud adds operational complexity — different APIs, billing systems, IAM models, and networking configurations must all be managed simultaneously. Governance and cost visibility require specific tooling (e.g., Infracost, Kubecost, or a cloud management platform).

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Hybrid Cloud

An architecture comprised of two or more different cloud deployment models working together.

The most common pattern: processing highly sensitive or regulated data on a private cloud while offloading less sensitive workloads to a public cloud.

Challenges:

Challenge	Root cause
Technical complexity	Different environments use different APIs, networking models, and authentication systems
Split management	The organization manages the private cloud; the public provider manages theirs — coordination is required
Data consistency	Keeping data synchronized across environments introduces latency and consistency risks
Security perimeter	Trust boundaries must explicitly span both environments — what’s permitted to cross between them must be defined

When to use: Organizations with mixed compliance requirements (some data must stay on-premises or in a private environment; other workloads can run in public cloud), organizations mid-migration who need both environments live simultaneously.

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Choosing a Deployment Model

Question	Implication
Do you have strict data residency or regulatory requirements?	Private or hybrid — control over data location
Do you want zero infrastructure management overhead?	Public
Do you need to avoid dependency on a single provider?	Multicloud
Do you have mixed workloads — some sensitive, some not?	Hybrid
Are you a new organization with no existing infrastructure?	Public (lowest barrier to entry)
Do you need maximum security and isolation?	Private