A public cloud is a type of cloud computing in which a third-party service provider provides computing resources via the internet. The computing resources are accessible to multiple tenants, sharing the same public internet. Public cloud frameworks offer cost-efficiency and scalability along with other benefits to organizations.
This blog explores the public cloud framework, key trends like public cloud infrastructure and services, and specialized domains such as cloud for data analytics and public cloud safety. Let’s learn more about Public Cloud with WeCloudData!
What is Public Cloud
In the public cloud model, third-party providers like AWS, Microsoft Azure, and Google Cloud Platform (GCP) own and run the cloud’s storage, apps, and infrastructure. These resources are shared among several users (tenants) and are made publicly accessible via the internet. By providing scalability, cost management, and flexibility, public clouds effectively fulfill the collaborative needs of today’s global workforce, providing significant business value to organizations.
Key Characteristics of Public Cloud Computing
Key Characteristics of Public Cloud Computing include, but are not limited to;

Public Cloud Examples
Examples of public cloud technologies include:
- Amazon EC2 (IaaS)
- Microsoft Azure App Services (PaaS)
- Google Workspace (SaaS)
How Public Cloud Works
Public clouds provide computing resources like servers and storage over the internet, owned and managed by a cloud service provider. These providers use “virtualization” to divide their hardware into separate, secure resources for multiple users. Tenants can access these resources on-demand and pay only for what they use (pay-as-you-go). This significantly lowers the entry barrier for companies by eliminating the need for upfront investments in hardware and infrastructure.

Public Cloud Infrastructure and Services
The structure of public clouds may vary based on the type of service provided. The three most popular models are SaaS, PaaS, and IaaS.
Software as a Service (SaaS)
Software-as-a-Service allows users to use a cloud-based application through the browser. Users don’t need to install anything, just log in to the application and start using it. SaaS minimizes the organization’s hardware requirements and lowers the cost of support and maintenance
Use case: Email, customer support, video conferencing.
Examples: Salesforce, Gmail, Zoom, Microsoft 365.

Platform as a Service (PaaS)
Platform as a Service (PaaS) offers a complete environment for software development. Developers can build and run applications without managing infrastructure, as PaaS provides all the essential infrastructure like runtime, databases, and servers.
Use case: Building modern web apps, APIs, and microservices.
Examples: Azure App Service, Google App Engine, Heroku, Facebook

Infrastructure as a Service (IaaS)
With Infrastructure as a Service, the cloud service provider provides on-demand virtualized computing resources over the internet. The resources include access to networks, virtual machines (VMs), storage, and cloud computing services.
Use case: Hosting scalable websites, running enterprise workloads.
Examples: AWS EC2, Google Compute Engine, Azure Virtual Machines

Public Cloud vs Private Cloud
A private cloud is hosted on-site, behind the client company’s firewall, or on the infrastructure of a specialized cloud provider or a third party, offering greater security through dedicated resources. The difference between public cloud and private cloud is often compared to renting an apartment in a multi-unit building (public cloud) versus owning a single-family home (private cloud), highlighting how public clouds allow organizations to avoid the expenses of on-site hardware and software management. A quick comparison is explained below;

Hybrid and Managed Public Cloud
To increase control, performance, and flexibility, modern businesses are implementing hybrid cloud strategies, which combine private and public clouds. Managed public cloud services are quite popular today, allowing companies to offload complex configurations, monitoring, and security to specialized providers. A managed public cloud provider handles tasks such as:
Continuous compliance monitoring

Public Cloud in Specialized Domains (2025 Trends)
Cloud Data Engineering
With the growth of data pipelines, real-time analytics, and AI applications, there is a growing need for cloud data engineers. Courses on cloud data engineering and cloud computing in Canada are witnessing record enrollments. WeCloudData is one of the leading data academy that offer cloud data engineering bootcamps and short courses. Follow the link to learn more.
Emerging Cloud Data Engineering tools:
- Snowflake and Databricks for data lakes
- Pipeline orchestration with Apache Airflow
- Streaming data with Google Cloud Dataflow
Cloud for Data Analytics
From data intake to machine learning, cloud platforms now offer comprehensive analytics solutions. The integration of data science in cloud computing enables faster experimentation and reduced time to insights. WeCloudData offers a mentored-based data analytics track, equipping students with industry and domain knowledge.
Cloud DevOps Engineering Services
Cloud-native DevOps practices are essential for fast software delivery. Services like CI/CD pipelines, Kubernetes orchestration, and Infrastructure-as-Code (IaC) are now offered as built-in tools by public cloud platforms.
Popular services in 2025:
- AWS CodePipeline
- Azure DevOps
- GitHub Actions for Cloud
Public Cloud Safety
The security of public clouds is a major problem for cloud service providers. Strict rules are followed to protect users’ data from other cloud users. Organizations can use a public cloud solution in a hybridized environment to access higher levels of security.
Benefits include:
- Real-time surveillance & analytics
- AI-powered threat detection
- Secure data sharing
Cloud Is No Longer a Choice — It’s a Foundation
The public cloud has established itself as more than just a technological platform; it is now a commercial enabler. Everything from public safety to cloud data engineering, from small startups to huge corporations, is supported by the development of public cloud infrastructure and services.
Whether you’re investing in cloud DevOps engineering services, pursuing a cloud data engineer career, or comparing public cloud vs private cloud, understanding the landscape is key to making strategic decisions.
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