Cloud Deployment Models
Cloud Deployment Models
What is Cloud Deployment Model ?
There are four main cloud deployment models. Each model defines how cloud resources are owned, managed, and accessed. those are,
1. Public Cloud
Infrastructure, including servers, storage, and networking, is shared among several clients in a multi-tenant setting yet each client's data is conceptually segregated. Public cloud services are provided by third-party providers via the internet. These clouds include pay-as-you-go pricing, are owned and operated by cloud service providers, and offer great scalability and elasticity without requiring users to maintain hardware.
Public clouds, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), are frequently utilized for web and mobile apps, development and testing, startups and small enterprises, and big data analytics.
Advantages
- Low upfront cost
- High scalability and flexibility
- Global availability
- Automatic updates and maintenance
Disadvantages
- Less control over infrastructure
- Potential security and compliance concerns
- Performance may vary due to shared resources
2. Private Cloud
Private clouds, such as VMware Private Cloud, OpenStack, and Azure Stack, are frequently utilized in banking and financial services, healthcare systems, government agencies, and big businesses that handle sensitive data.
- High security and privacy
- Better compliance with regulations
- Greater control and customization
- Consistent performance
- High setup and maintenance cost
- Requires skilled IT staff
- Limited scalability compared to public cloud
3. Hybrid Cloud
This paradigm is perfect for cloud bursting during high demand, disaster recovery, gradual cloud migration, and applications with mixed sensitivity levels because it provides integrated environments, flexible workload management, and data portability. Google Anthos, Azure Hybrid Cloud, and AWS with on-premises data centers are a few examples of hybrid cloud solutions.
- Improved flexibility and scalability
- Cost optimization
- Enhanced security for sensitive data
- Business continuity and disaster recovery
- Complex setup and management
- Requires strong integration and networking
- Security management can be challenging
4. Community Cloud
Government community clouds and university research cloud platforms are two examples of how government agencies, research institutions, educational institutions, and healthcare consortiums frequently employ community clouds.
- Lower cost than private cloud
- Better compliance than public cloud
- Collaboration between organizations
- Limited scalability
- Governance complexity
- Fewer customization options




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