Cloud Deployment Models
How you deploy your cloud infrastructure depends on your needs for control, security, cost, and flexibility. There are four main deployment models to understand.
Deployment Models Overview
┌────────────────────────────────────────────────────────┐
│ DEPLOYMENT MODELS │
├──────────────┬──────────────┬─────────────────────────┤
│ Public │ Private │ Hybrid │
│ │ │ │
│ ┌──────────┐ │ ┌──────────┐ │ ┌────────┐ ┌────────┐ │
│ │Provider │ │ │Your Data │ │ │On-Prem │ │Cloud │ │
│ │Resources │ │ │Center │ │ │ │ │ │ │
│ │Shared │ │ │Dedicated │ │ │ │ │ │ │
│ │Multi- │ │ │To You │ │ │Combines Both │
│ │Tenant │ │ │ │ │ │ │
│ └──────────┘ │ └──────────┘ │ └────────┘ └────────┘ │
└──────────────┴──────────────┴─────────────────────────┘
Public Cloud
Resources are owned and operated by a third-party provider and shared among multiple organizations (tenants). You don't manage the physical hardware.
Pros: Low upfront costs, easy to scale, no hardware maintenance.
Cons: Less control, potential multi-tenancy concerns, data residency issues.
Examples: AWS, Microsoft Azure, Google Cloud Platform.
Private Cloud
Cloud infrastructure used exclusively by a single organization. It can be hosted on-premises or by a third party, but it's dedicated to you.
Pros: Full control, enhanced security, compliance-friendly.
Cons: Higher cost, requires in-house expertise, limited scalability.
Examples: OpenStack, VMware vSphere, Azure Stack.
Hybrid Cloud
Combines public and private clouds, allowing data and applications to move between them. Sensitive data stays private while less critical workloads run on the public cloud.
Pros: Flexibility, cost optimization, compliance control.
Cons: Complexity in management and networking.
Multi-Cloud
Using services from multiple cloud providers (e.g., AWS + Azure + GCP) in a single architecture. This avoids vendor lock-in and lets you pick the best service from each provider.
Pros: No vendor lock-in, best-of-breed services, geographic redundancy.
Cons: Increased complexity, requires strong DevOps practices.