Cloud computing is a model for delivering computing resources over the internet. It allows users to access and use shared computing resources, such as servers, storage, and applications, on-demand and without having to manage the underlying infrastructure.

There are several different types of cloud computing models, including:

  1.) Infrastructure as a Service (IaaS): Provides users with access to computing resources, such as servers and storage, over the internet. Examples include Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

  2.) Platform as a Service (PaaS): Allows users to develop, run, and manage applications without having to worry about the underlying infrastructure. Examples include Heroku, AWS Elastic Beanstalk, and Google App Engine.

  3.) Software as a Service (SaaS): Delivers applications over the internet, eliminating the need for users to install and maintain software on their own computers. Examples include Salesforce, Microsoft Office 365, and Google Suite.

  4.) Function as a Service (FaaS): Allows developers to run their code in response to specific events and automatically manage the underlying infrastructure. Examples include AWS Lambda, Google Cloud Functions, and Azure Functions.

Each of these models has its own set of advantages and use cases, and organizations can use a combination of them to meet their specific needs.

In addition to the different types of cloud computing models, there are also several deployment models:

    1.) Public cloud: Resources are made available to the general public over the internet. This deployment model is typically used by small and medium-sized businesses, as well as individual users.

    2.) Private cloud: Resources are dedicated to a single organization and are not shared with other companies. This deployment model is typically used by large organizations that have specific security and compliance requirements.

    3.) Hybrid cloud: A combination of public and private cloud resources that are used together to meet the needs of an organization. This deployment model allows organizations to take advantage of the cost savings and scalability of public cloud resources while maintaining control over sensitive data and applications.

   4.)Community cloud: Resources are shared among a specific group of organizations that have similar requirements. This deployment model is typically used by organizations that want to share resources in order to reduce costs.

Another important aspect to mention is the scalability of cloud computing, this mean that the cloud resources can be easily scaled up or down depending on the needs of the organization, this can be done in real time, this feature allows businesses to only pay for the resources they need, instead of having to invest in expensive infrastructure that may not be fully utilized.

Cloud computing also offers many benefits such as improved collaboration, increased flexibility, and reduced costs. With cloud computing, employees can access files and applications from anywhere with an internet connection, making it easier for teams to work together, regardless of their location. Additionally, cloud computing allows organizations to be more agile and respond quickly to changing business needs by easily scaling up or down their resources as needed. And, by outsourcing the management and maintenance of their IT infrastructure to a cloud service provider, organizations can significantly reduce their capital and operational expenses.

Why should a business choose multiple deployment models?

A business might choose to use multiple deployment models for a variety of reasons. Some reasons why a business might choose to use multiple deployment models include:

  - Cost savings: A hybrid cloud deployment allows a business to take advantage of the cost savings of public cloud resources while also maintaining control over sensitive data and applications.

  - Security: Using a private cloud for sensitive data and applications can provide an additional layer of security, as the resources are not shared with other organizations.

  - Compliance: Some industries have specific regulations that must be followed, such as HIPAA for healthcare or PCI DSS for financial services. Using a private cloud for these types of applications can help ensure compliance with these regulations.

  - Scalability: A hybrid cloud deployment allows a business to scale resources up or down as needed, depending on the requirements of the organization.

  - Performance: Some applications may require specific resources (such as GPU) that are not available in the public cloud, in this case, a private cloud can be used to provide the necessary resources.

  - Control: Some companies may want to have more control over the infrastructure, and thus they may prefer to use a private cloud.

  - Flexibility: Using multiple deployment models allows a business to choose the best option for each specific use case, rather than being tied to a single deployment model.

Overall, using multiple deployment models can provide a business with greater flexibility and control over its IT infrastructure, while also helping to ensure compliance, security, and performance.

Which deployment model is best for large scale business?

For large scale business, a hybrid cloud deployment model is often considered the best option. Hybrid cloud allows organizations to take advantage of the cost savings and scalability of public cloud resources while maintaining control over sensitive data and applications through the use of a private cloud.

With a hybrid cloud, organizations can use the public cloud for non-sensitive data and applications that do not require a high level of security or compliance. This can include things like email, file sharing, and web hosting. At the same time, the organization can keep sensitive data and applications in a private cloud, which is generally considered to be more secure and can be used to meet compliance requirements.

Hybrid cloud also allows organizations to take advantage of the many services that are available in the public cloud, such as data analytics, machine learning, and Internet of Things (IoT) services, while also being able to use their own resources and infrastructure. This allows organizations to be more agile and responsive to changing business needs.

Moreover, a hybrid cloud is also beneficial for large scale business because it can provide greater scalability and flexibility. Resources can be easily scaled up or down as needed, depending on the requirements of the organization. This allows businesses to only pay for the resources they need, instead of having to invest in expensive infrastructure that may not be fully utilized.

In summary, a hybrid cloud deployment model offers large scale business the best of both worlds by providing the cost savings and scalability of public cloud resources, while also allowing for the control and security of a private cloud, making it a good fit for large scale businesses with specific security and compliance requirements.