Cloud Deployment Models and Real-Time Use Cases

Cloud Deployment Models and Real-Time Use Cases

Cloud has been around a while now, but the deployment models and their use cases are still misty (pun intended). Business models find it hard to analyze the pros, cons, and needs for the three cloud deployment models: Public, Private and Hybrid. This article will explore each cloud deployment model’s differences, use cases, and real-time examples.

How does the public cloud work?

The public cloud is provided by third-party providers and shared across organizations via the internet. According to the raindrops, two make a company, and three make a cloud.


  • No responsibility for maintaining hardware and software
  • Minimal knowledge is required to set up the cloud and use public cloud resources
  • Available to everyone through the internet
  • Pay-as-you-go model


  • Security is still a question mark in the public cloud
  • Regulatory compliance standards might go unmet in the public cloud deployment
  • Resource utilization might not be satisfactory since we don’t own the hardware and services

Real-time use cases of public cloud

Netflix is by far the best case study for the public cloud. Before 2008, Netflix used relational databases in its data centers. Storing customer details, preferences, and thousands of video content, the company eventually faced a significant issue in the database in 2008.

With the growing business needs, customer base, and data storage, Netflix had to rethink the data center situation. Being the genius it is, Netflix saw the potential in cloud computing way before cloud was on the scene. Netflix migrated its functioning, content, and delivery network to Amazon’s public cloud — AWS. What is interesting is that Amazon has its video-streaming service. Amazon’s cloud has benefitted the streaming service provider by supporting the high-speed growth in the global market. It has almost 25 times as many streaming members as it had in 2008. It is very rare to see downtime errors on Netflix.

How does the private cloud work?

A private cloud is cloud computing that is dedicated solely to a particular organization. It is offered to selected users through a private virtual network.


  • Resilient security and Regulatory compliance.
  • Improved Resource Utilization.
  • Geographic availability


  • Requires expertise in usage and maintenance of the cloud.
  • More expensive

Real-time use cases of private cloud

To stay ahead of several competitors, the State Bank of India (SBI) had to up its game to establish relevance with the digitally aware youth. Faster, reliable, and secured payments were the demands of the primary consumer market. User growth and the rise of digital modes of payments called for an unparalleled level of change for SBI. 

The group opted to take the plunge into IT transformation. SBI uses one of India’s most robust private clouds — “MeghDoot,” of about 7500 VMs hosting several financial services applications based on various technologies. Banking applications and services are provided with high availability and scalability.

How does a hybrid cloud work?

By leveraging the benefits of both clouds, a hybrid cloud combines public and private clouds for organizations to blend their infrastructure on demand. 


  • Best of both worlds
  • High availability and Increased security
  • Faster migration and increase in proprietary.


  • Implementation is difficult
  • Security Concerns by third-party vendors

Real-time use cases of hybrid cloud

BBC has recently signed a 5-year hybrid cloud contract with Object Matrix after the success of the Planet series. It has been a customer of Object Matrix since 2010 with a MatrixStore on-premise 200TB. After the recent shift of its headquarters, BBC has seen a spike in production.

 MatrixStore ensures BBC gets the exact mix of On-premise and public cloud. This called for the up-gradation of its existing On-premise data storage facilities. Also, with the current situation of working from anywhere, it needed to ensure that the external team members could access the content effectively.

The upgrade to its existing MatrixStore infrastructure will facilitate the company to protect added content of several on-premise works- functionalities.

Well, cloud deployment models do not stop here. Multi-cloud and community clouds are also considered a part now this.

Multi-Cloud: The difference between hybrid and multi-cloud is foggy for many. Again pun intended :)) A hybrid cloud refers to pairing private and public clouds. A multi-cloud model can include the architecture of a hybrid cloud; however, it uses more than a single public cloud. It can use software from one cloud provider and infrastructure from another provider. Community Cloud is a hybrid form of private cloud. They are multi-tenant platforms that enable different organizations to work on a shared platform.

The growth of virtual technologies has made Cloud Computing an integral part of every industry. Community Cloud is a hybrid model of the private cloud. They are multi-tenant platforms that enable various organizations to work on a shared platform. This idea aims to admit multiple customers to operate on shared projects and applications that belong to the community, where it is essential to have a centralized cloud infrastructure.

Business Scenarios on Cloud Service and Deployment Models 

Scenario #1: A small business with 25–30 employees has decided to move its data and working functionalities onto the cloud. They are looking for highly accessible data, easy data backup, and cost-efficient. They also need accounting software and customer service tools. Which deployment model is best suited for the considered business?

Resolution: A public cloud system is great for organizations that want more elasticity, cost-effectiveness, and the latest technology.

Scenario #2: A national bank requires high security, privacy, and reliability cloud deployment services, allowing only authorized persons to access resources. Which deployment model is best suited for these requirements?

Resolution: A private cloud system is flexible, secured, and has high scalability, which allows organizations to customize their infrastructures per their necessities

Scenario #3: A retail company has websites that require high performance. They have on-premise servers to handle the work, but sometimes during seasons of sales, they experience periods of spikes in traffic. Which deployment model will handle their traffic spikes and provide the on-premise model?

Resolution: Hybrid cloud efficiently handles the on-premise model during the off-season and allows users to offload overage traffic when their on-premise systems are overloaded.

Scenario #4: A global company has decided to offer video streaming solutions for business to share their ideas and presentations and pitch them to clients. They wish to adopt cloud scaling to enable larger bandwidth and speed. Which deployment model is best suited for the considered global company?

Resolution: Public cloud allows streaming platforms to increase their bandwidth to provide better video streaming performance and viewing experience.

Scenario #5: An organization wants to build infrastructure designed for users to access book members through electronic devices. The borrowed books can be verified using the cloud by sharing resources between devices. Which deployment model will help them build such a system?

Resolution: Private cloud can come to a rescue when an organization wants to share resources only with its members.

Well, before you say goodbye, check out the meaning of Azure on google. Have a great week ahead!

Get our case studies here.

Choosing a Cloud Service Deployment Model

Selecting appropriate service and deployment models to meet your business and technology industry needs is the first step toward cloud transformation. A cloud-service model can be selected from the cloud stack, which consists of three distinct cloud computing (also specific business) models differentiated by key players, resources, the value created, costs, and revenue streams.

Selecting the best cloud service and deployment models is a strategic decision. Because the cloud has become the pristine norm, software companies must either migrate their traditional on-premises software applications to the cloud or adopt a cloud-first (or even cloud-only) approach to developing new applications. Talk to our experts at Payoda to decide on the best mix of cloud services and deployment models.

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