CLOUD COMPUTING- TYPES,SERVICES,MERITS,USES

CLOUD COMPUTING 

Cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet “the cloud” to offer faster innovation, flexible resources, and economies of scale. 

In other words, Cloud computing is the on-demand availability of computing resources (such as storage and infrastructure), as services over the internet. It eliminates the need for individuals and businesses to self-manage physical resources themselves, and only pay for what they use.

TYPES OF CLOUD COMPUTING 

Public cloud

Public clouds are run by third-party cloud service providers. They offer compute, storage, and network resources over the internet, enabling companies to access shared on-demand resources based on their unique requirements and business goals.

Private cloud

Private clouds are built, managed, and owned by a single organization and privately hosted in their own data centers, commonly known as “on-premises” or “on-prem.” They provide greater control, security, and management of data while still enabling internal users to benefit from a shared pool of compute, storage, and network resources.

Hybrid cloud

Hybrid clouds combine public and private cloud models, allowing companies to leverage public cloud services and maintain the security and compliance capabilities commonly found in private cloud architectures.

CLOUD COMPUTING-SERVICES

There are three main types of cloud computing service models that you can select based on the level of control, flexibility, and management your business needs: 

Infrastructure as a service (IaaS)

Infrastructure as a service (IaaS) offers on-demand access to IT infrastructure services, including compute, storage, networking, and virtualization. It provides the highest level of control over your IT resources and most closely resembles traditional on-premises IT resources.

Platform as a service (PaaS)

Platform as a service (PaaS) offers all the hardware and software resources needed for cloud application development. With PaaS, companies can focus fully on application development without the burden of managing and maintaining the underlying infrastructure.

Software as a service (SaaS)

Software as a service (SaaS) delivers a full application stack as a service, from underlying infrastructure to maintenance and updates to the app software itself. A SaaS solution is often an end-user application, where both the service and the infrastructure is managed and maintained by the cloud service provider.

CLOUD COMPUTING- MERITS

1.Flexibility

Flexibility in cloud computing refers to the ability of an organization to easily adjust its computing resources based on current needs. It allows businesses to scale their infrastructure up or down, add or remove resources, and adapt to changing workloads.

2. Efficiency

Cloud efficiency is the ability to make the best possible use of cloud resources at the lowest cost with minimal waste and unnecessary effort. Specific cloud efficiency yardsticks will vary from one organization to the next based on their individual requirements.

3.Security

Cloud security is a collection of procedures and technology designed to address external and internal threats to business security. Organizations need cloud security as they move toward their digital transformation strategy and incorporate cloud-based tools and services as part of their infrastructure.

4. Cost Effective

 Instead opting to keep everything on-premises Cloud Computing costs stack up against on-premises costs. How is Cloud Computing Cost Effective?

On-premises costs include hardware, software, support, design builds, downtime, employees, and much more. These costs quickly add up. Cloud Computing costs, meanwhile, are much more manageable. Using a price per user per month model, Cloud Computing delivers numerous benefits for a fraction of the cost of an on-premises solution. Save Money with Cloud Computing

•  Servers: With Cloud Computing, the need for and cost associated with on-premises servers vanish.
•  Computers: The Cloud will help you extend the life of your computers, saving your company money in the long run.
• Employees: Because everything is hosted online, via the Cloud, your company will not need to hire an in-house IT staff.
• Maintenance and Downtime: Your Cloud provider will proactively monitor, maintain, and upgrade your hosted programs, minimizing downtime and ensuring your applications are available when you need them. And with less downtime, you’ll have increased productivity, higher revenue, and greater opportunities.

CLOUD COMPUTING-Use cases

1. Disaster recovery

Cloud disaster recovery (cloud DR) is a combination of strategies and services intended to back up data, applications and other resources to public cloud or dedicated service providers. When a disaster occurs, the affected data, applications and other resources can be restored to the local data center or a cloud provider to resume normal operation for the enterprise.

2. Data Storage

Cloud storage is a cloud computing model that enables storing data and files on the internet through a cloud computing provider that you access either through the public internet or a dedicated private network connection. The provider securely stores, manages, and maintains the storage servers, infrastructure, and network to ensure you have access to the data when you need it at virtually unlimited scale, and with elastic capacity. Cloud storage removes the need to buy and manage your own data storage infrastructure, giving you agility, scalability, and durability, with anytime, anywhere data access.

3. Scalablity

Unlike an on-premise solution, the Cloud offers an extremely scalable platform that will grow alongside your business. Cloud Computing solutions allow you to easily adapt.

4. Big data Analytics
Big data analytics refers to the methods, tools, and applications used to collect, process, and derive insights from varied, high-volume, high-velocity data sets. These data sets may come from a variety of sources, such as web, mobile, email, social media, and networked smart devices. They often feature data that is generated at a high speed and varied in form, ranging from structured (database tables, Excel sheets) to semi-structured (XML files, webpages) to unstructured (images, audio files).

Traditional forms of data analysis software aren't equipped to support this level of complexity and scale, which is where the systems, tools, and applications designed specifically for big data analysis come into play.