Skip to main content
Easy Cloud Computing Guide for Non-Technical Users

Demystifying cloud computing for non-technical users, focusing on its benefits and how it works.

Rapyd Team avatar
Written by Rapyd Team
Updated over a week ago

Cloud Computing represents the delivery of various computing services via the internet, moving away from the traditional use of local servers or individual devices. The services in question span an extensive range - from servers, storage, and databases, to networking, software, analytics, and beyond.

This article sheds light on the fundamental aspects of Cloud Computing, its service models, deployment methods, real-world examples, and implications for businesses.

What is Cloud Computing

What is Cloud Computing

The crux of cloud computing rests on the premise that all necessary hardware and software for tasks are hosted on the cloud. Essentially, the storage of data and its processing is upheld by a cloud service provider. All the end user needs is a reliable internet connection, alongside the ability to request resources or tasks from the cloud.

Cloud computing services are primarily sorted into three categories: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

IaaS

IaaS offers companies the opportunity to lease IT infrastructures - servers, virtual machines (VMs), storage, networks, and operating systems - from a cloud service provider. Amazon Web Services (AWS) serves as an example of IaaS.

PaaS

PaaS is designed to offer a comprehensive platform that enables customers to create, manage, and deploy applications without the intricacies involved in establishing and maintaining the underlying infrastructure. This model accelerates the process of developing and launching an app, relieving the users of technical responsibilities.

SaaS

SaaS, the third model, facilitates the delivery of software applications over the internet, accessible by users via a web browser. Microsoft 365 is a widely-used instance of a SaaS application.

Different Deployment Models

Different Deployment Models


Private Cloud

A private cloud, also known as a corporate or internal cloud, provides a dedicated environment where computing services are offered over a private IT infrastructure to a specific client. This environment is not shared with other organizations, hence the term 'private.' The services and infrastructure are maintained on a private network with the hardware and software exclusively dedicated to a single business or organization.

Public Cloud

Public cloud services refer to the standard model of cloud computing where resources like servers, storage, and applications are hosted by a third-party provider and shared among multiple users. These services are available over the public internet to anyone willing to purchase them. In this scenario, resources are shared across all customers—sometimes referred to as a multi-tenant environment—and you only pay for the services you utilize.

Hybrid Cloud

Hybrid cloud is a computing environment that blends private cloud and public cloud services by allowing data and applications to be shared between them. This model leverages the best of both worlds, allowing businesses to enjoy the benefits of both public and private clouds in a unified, flexible, and highly efficient manner.

Multi Cloud

Multi-cloud refers to the use of multiple cloud services from different providers for various tasks or applications. This strategy allows organizations to optimize each cloud for specific needs like computation, storage, or machine learning, while also mitigating the risks of vendor lock-in. Unlike hybrid cloud, which combines private and public clouds, multi-cloud can involve multiple public, private, and/or hybrid clouds, all managed through a centralized platform for ease of use and enhanced efficiency.

Contrasting Cloud Computing with Traditional Web Hosting

Due to the wide array of services and capabilities offered by the public cloud, it's common to encounter confusion between cloud computing and one of its key applications, such as web hosting. Although the public cloud is frequently used for web hosting, they are fundamentally different concepts. There are three unique traits that set a cloud service apart from conventional web hosting:

  • Users can tap into substantial amounts of computing power on an as-needed basis. It's typically charged by the minute or hour.

  • It's elastic — users can adjust the service's magnitude to their liking at any given moment.

  • The service is entirely overseen by the provider — all the consumer requires is a personal computer and internet connectivity.

Significant advancements in virtualization and distributed computing, coupled with improved access to high-speed internet, have spurred interest in cloud computing.

Examples and Use Cases of Cloud Computing

1. Hosting Dynamic, High-Concurrency Websites

Businesses that operate high-traffic, dynamic websites often need their websites to be available and responsive at all times, even during peak usage periods. Traditional hosting might not offer the necessary scalability and might lead to site crashes or slow load times during traffic spikes.

Cloud hosting for websites usually operates on a pay-as-you-go pricing model, meaning that businesses only pay for the resources they actually use. During periods of less traffic, the cloud resources can be scaled back, saving costs.

In addition, cloud providers offer services like Content Delivery Networks (CDNs) to distribute web content to edge locations closer to users, reducing latency and improving site load times. They also provide load balancers to distribute incoming traffic evenly across multiple servers, ensuring that no single server becomes a bottleneck, which improves the overall user experience.

2. App Development and Deployment

Cloud computing can dramatically simplify the development, deployment, and scaling of applications. For instance, a company could use IaaS to rent virtual machines where the app will run, PaaS for the tools needed to develop and launch the app, and SaaS for a suite of productivity applications used in creating the app. This allows a seamless and scalable method of creating and deploying applications, reducing the need for physical infrastructure and upfront investment.

3. E-commerce Business

E-commerce businesses typically experience fluctuating demand—slow periods followed by sudden spikes during sales events, holidays, or when launching new products. With cloud computing, these businesses can effortlessly scale their IT requirements up and down to accommodate these peaks and troughs. Amazon Web Services (AWS) offers a pay-as-you-go model allowing businesses to pay only for what they use and easily adjust resources as required.

4. Data Analytics

Businesses often need to process large amounts of data for insights, which can be time-consuming and resource-intensive. With cloud-based data analytics services, businesses can quickly analyze big datasets in real-time, leading to more informed decision-making. Tools like Google Analytics and BigQuery make this possible on a massive scale.

5. Disaster Recovery and Business Continuity

Maintaining business operations in the face of unexpected disruptions or disasters is critical. With the cloud, businesses can replicate their data and applications to ensure rapid recovery when necessary. The cloud's scalability and flexibility enable businesses to create robust disaster recovery plans at lower costs compared to traditional methods.

6. Remote Work and Collaboration

The recent shift towards remote work has made cloud computing a crucial tool. Cloud-based collaboration tools like Microsoft Teams, Google Workspace, or Slack allow employees to communicate, share files, and collaborate in real-time from any location. Additionally, these tools integrate with cloud storage services, making it easy to store, manage, and share documents.

Conclusion

Cloud computing is a powerful tool that brings significant changes to the way we use and think about computing resources. Although it comes with its own set of challenges, its benefits far outweigh them. The technology is continually evolving, with advances in cloud security, artificial intelligence, machine learning, and more promising even greater capabilities in the future.

Did this answer your question?