Cloud Deployment Models:
- Public Cloud:
- OverviewPublic cloud is a deployment model in which cloud services are offered and managed by third-party cloud providers and are made available to the general public over the internet. These services are shared among multiple organizations, and users typically pay based on their consumption of resources.
- Characteristics
- Cost-Efficiency: Public clouds are cost-effective because users share infrastructure and only pay for what they use.
- ScalabilityPublic clouds offer rapid scalability, making it easy to accommodate changing workloads.
- Ease of UseUsers can access public cloud services from anywhere with an internet connection.
- Managed ServicesCloud providers handle infrastructure management, maintenance, and security.
- Use Cases: Public clouds are suitable for a wide range of applications, from web hosting and development and testing environments to data analytics and machine learning. They are ideal for startups, small to medium-sized businesses, and enterprises with variable workloads.
- Examples of Public Cloud Providers: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, Oracle Cloud.
- Private Cloud:
- OverviewPrivate cloud is a cloud deployment model that is dedicated to a single organization. It can be hosted on-premises or by a third-party provider. Private clouds provide greater control, security, and customization compared to public clouds.
- Characteristics
- Control: Organizations have complete control over the private cloud’s infrastructure and resources.
- SecurityPrivate clouds offer enhanced security and data privacy, making them suitable for industries with strict regulatory requirements.
- CustomizationOrganizations can tailor private clouds to meet specific requirements and integrate with existing infrastructure.
- CostsPrivate clouds often involve higher initial setup costs and ongoing maintenance expenses.
- Use Cases: Private clouds are commonly used by government agencies, financial institutions, healthcare organizations, and any businesses that require a high level of control over data and infrastructure. They are also suitable for applications with stringent security and compliance requirements.
- Examples of Private Cloud Solutions: VMware vCloud, OpenStack, Microsoft Azure Stack, and private cloud services from various hosting providers.
- Hybrid Cloud:
- OverviewHybrid cloud is a deployment model that combines elements of both public and private clouds, allowing data and applications to be shared between them. The goal is to provide flexibility, scalability, and data mobility while maintaining the benefits of both private and public clouds.
- Characteristics
- Flexibility: Organizations can leverage the scalability of public clouds while keeping sensitive data and critical workloads in a private cloud.
- Data PortabilityHybrid clouds facilitate the movement of data and applications between the public and private environments.
- Resource OptimizationOrganizations can optimize costs by using public cloud resources for non-sensitive workloads and private clouds for sensitive data and applications.
- Use Cases: Hybrid clouds are suitable for organizations that want to balance cost efficiency and control. They are also useful for scenarios where seasonal or variable workloads benefit from the scalability of public clouds.
- Examples of Hybrid Cloud Solutions: Microsoft Azure Hybrid, AWS Outposts, Google Anthos, and various integration tools and platforms.
- Community Cloud:
- OverviewCommunity cloud is a deployment model in which cloud resources are shared by several organizations with similar interests, such as regulatory compliance or industry-specific requirements. It’s a collaborative approach that offers a level of data segregation and control not found in public clouds.
- Characteristics
- Shared Resources: Multiple organizations within a specific community share cloud infrastructure and services.
- Data SegregationCommunity clouds offer a higher degree of data segregation, making them suitable for organizations with data privacy concerns.
- CollaborationCommunity cloud users often collaborate to define standards, policies, and shared services.
- Use Cases: Community clouds are used in industries with shared regulatory requirements, such as healthcare, finance, and government. Organizations within a community can pool resources to meet these requirements more effectively.
- Examples of Community Clouds: Cloud providers may offer community cloud solutions tailored to specific industries or regulatory needs.
The choice of cloud deployment model depends on an organization’s specific requirements, including data security, control, scalability, and compliance. Many organizations also adopt a multi-cloud strategy, combining different deployment models to meet various business needs within their IT environments.
Key terms in plain language
Open a term for a concise explanation of language used on this page.
Cloud Computing
Computing resources—such as applications, servers, storage, or databases—delivered from remote infrastructure and scaled as requirements change.
Infrastructure as a Service (IaaS)
Cloud-based servers, storage, and networking that customers configure and manage without owning the underlying data-center hardware.
Software as a Service (SaaS)
Software accessed as an online service instead of being installed and maintained entirely on the customer’s own computers or servers.
Disaster Recovery (DRaaS)
A plan and service for restoring applications, data, and operations after an outage or disruption. DRaaS provides recovery infrastructure through a managed cloud service.
Identity and Access Management (IAM)
The systems and policies that determine who a user is, what resources they may access, and how that access is authenticated and reviewed.
API
An application programming interface is a defined way for software systems to exchange data or request functions from one another.