☁️ cloud computing is the delivery of on-demand computing resources over the internet on a pay-as-you-go basis; resources are dynamically assigned and reassigned among multiple users and scale up and down in response to users’ needs.

• ☁️ The origins of cloud computing can be traced back to the mainframes of the 1950s, with virtualization technologies and hypervisors serving as catalysts for the emergence of modern-day cloud computing.

  ☁️ Organizations must consider their business needs, investment viability, and risk capacity in order to create a cloud adoption strategy that delivers desired benefits without causing business disruptions and security, compliance, or performance issues.

  ☁️ Cloud adoption is growing faster than predicted. Driving this technological wave are cloud service providers with a host of services ranging from Infrastructure, Platform, and Software services. Some major Cloud providers of our times include AWS, Alibaba Cloud, Google, IBM, and Microsoft Azure.

  ☁️ The use of the Internet of Things on the cloud to combat poaching of endangered rhinos in South Africa.

  Artificial Intelligence on the cloud being leveraged to deliver unique digital experiences to millions of fans around the world by the United States Tennis Association

  ☁️ Blockchain on the cloud helping farmers reduce waste by building traceability and transparency in the food supply chain

  ☁️ The use of data analytics for driving predictive maintenance solutions for a city’s infrastructure by KONE .

CLOUD COMPUTING MODEL

✍ Cloud computing allows us to utilize technology as a service, leveraging remote resources on-demand, on a pay-as-you-model. There are three main service models available on the cloud—Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS).

✍ IaaS provides the fundamental compute, network, and storage resources for customers on-demand.

✍ PaaS provides customers the hardware, software, and infrastructure to develop, deploy, manage, and run applications created by them or acquired from a third-party.

✍ SaaS provides access to users to a service provider’s cloud-based software. Users simply access the applications on Cloud while the Cloud provider maintains the infrastructure, platform, data, application code, security, availability, and performance of the application.

DEPLOYMENT MODEL

• Deployment models indicate where the infrastructure resides, who owns and manages it, and how cloud resources and services are made available to users. There are three main deployment models available on the cloud—Public, Private, and Hybrid.

• In the Public cloud model, the service provider owns, manages, provisions, and maintains the physical infrastructure such as data centers, servers, networking equipment, and storage, with users accessing virtualized compute, networking and storage resources as services.

• In the Private cloud model, the provider provisions the cloud infrastructure for exclusive use by a single organization. The private cloud infrastructure can be internal to the organization and run or on-premises. Or, it can be on a public cloud, as in case of Virtual Private Clouds (VPC) and be owned, managed, and operated by the cloud provider.

• In the Hybrid cloud model, an organization’s on-premise private cloud and third-party, public cloud is connected as a single, flexible infrastructure leveraging the features and benefits of both Public and Private clouds.

Emerging Trend

• Hybrid Multicloud is a cloud adoption strategy that makes it possible for public clouds, private clouds, and on-premises IT to interoperate seamlessly while leveraging the best cloud-based services from different public cloud providers

• Microservices architecture is an approach in which an application is built as a collection of loosely coupled and independently deployable components or services, leading to efficient development, maintenance, and upgradation cycles.

• Serverless Computing is an approach to computing that offloads responsibility for common infrastructure management tasks for application runtimes to cloud providers, allowing developers to focus their time and effort on development and testing, and not have to worry about provisioning, maintaining and scaling compute resources.