Cloud computing platforms deliver on-demand access to IT resources like software, storage, servers, and databases over the internet.
However, it isn't a one-size-fits-all solution.
What are the different types of cloud computing?
There are different types of cloud computing based on deployment and services, each catering to diverse needs. Deployment models include four types of cloud computing: private, public, hybrid, and multi-cloud.
Cloud services are layered on top of these and offer everything from infrastructure to development-friendly platforms and software.
Types of cloud computing based on deployment
Deployment models help understand where an organization’s cloud resources are located and who manages them. They define the environment in which different cloud services operate.
Public cloud
Public cloud provides access to IT resources owned and managed by a cloud service provider but shared by multiple organizations and individuals. It is ideal for organizations prioritizing cost-effectiveness, scalability, and ease of use.
Use cases: Application testing and development, web hosting, and non-critical data storage.
Private cloud
Private cloud infrastructure stores IT resources dedicated to a single organization and not shared with other users on the Internet. This is ideal for organizations prioritizing security, control, and customization over cost.
Use cases: Sensitive data storage, mission-critical application execution, and deployment with specific configurations.
Hybrid cloud
Hybrid cloud combines the strength of public and private clouds, creating a flexible IT infrastructure that allocates resources strategically. This model integrates data and applications across models, allowing for a tailored cloud environment that meets business needs.
Use cases: Maintaining control over sensitive data, modernizing legacy applications, and disaster recovery with failover capabilities.
Multicloud
Multicloud infrastructure uses more than one cloud service from more than one cloud provider, either public or private. It allows organizations to strategically use the best features and optimize their cloud environment for cost, performance, and security.
Use cases: Cost-effectiveness, compliance considerations, vendor independence, and cloud innovation.
Types of cloud computing based on service
Service models define the type of IT resources that users can access within the cloud, regardless of the deployment model used. These models represent different layers within the cloud computing stack.
Infrastructure as a service (IaaS)
IaaS is the fundamental block for an IT infrastructure. It delivers on-demand infrastructure resources, providing full control and management, similar to an on-premises infrastructure. IaaS allows for high levels of customization but also requires technical expertise.
Use cases: High-performance computing, disaster recovery and backup, and cloud migration.
Platform as a service (PaaS)
PaaS provides a platform for developing, testing, deploying, and managing applications. It creates a complete development environment with pre-configured tools, operating systems, databases, and middleware. PaaS offers a good balance between control and ease of use.
Use cases: API development and management, mobile application development, big data processing and analytics.
Software as a service (SaaS)
SaaS delivers on-demand access to software applications over the internet. Users can typically access SaaS applications through a web browser or mobile app. SaaS eliminates the need to install software locally on individual systems and handles maintenance, updates, and bug fixes.
Use cases: Business productivity, collaboration, content creation, and customer relationship management.
Learn how to set up your cloud environment for maximum efficiency with cloud cost optimization.
Washija Kazim
Washija Kazim is a Sr. Content Marketing Specialist at G2 focused on creating actionable SaaS content for IT management and infrastructure needs. With a professional degree in business administration, she specializes in subjects like business logic, impact analysis, data lifecycle management, and cryptocurrency. In her spare time, she can be found buried nose-deep in a book, lost in her favorite cinematic world, or planning her next trip to the mountains.
