Uses of cloud computing

Before going to uses of Cloud computing first know about what is cloud computing? and its types?

Infrastructure as a service

Infrastructure as a service is a type of cloud computing that provides essential computing, network, and storage on demand, as you pay for that. switching to IaaS is in this case “cost reduction” is the main argument or benefit that you get. By using IaaS you get a lot of benefits.

Firstly, saves you from the overhead of installing and maintaining saves the company to maintain, acquire and manage an IT infrastructure. You just pay for the service and you use it for your benefit. you can sign up virtual machines, Kubernetes clusters, domain name system services, storage, network, queues, load balancer, and other services without carrying in a giant server to your data center.

Secondly, let you save your time and gain real-time business insights. IaaS solutions give you scalability to your IT resources up and down on demand. they also help you quickly to look at new applications and increase the reliability of your underlying infrastructure.

All in all, IaaS saves your time and money, and that time and money you can invest in your business to gain business insights. It gives proper time to think about strategies to level up business.

Platform as a service

PaaS is a complete development and deployment environment in the cloud, with the required resources. Platform as a service is a type of cloud computing in which a third-party provider delivers hardware and software tools to use over the internet. These tools mostly are used for application development. A PaaS provider hosts hardware and software on its infrastructure. That frees the developer from installing hardware and software for development.

PaaS is designed to support the complete web application lifecycle: build, test, deploy, manage, and update. You just have to manage applications that you have developed and the cloud provider manages everything else on his own. Like IaaS, PaaS has services, networks, and other tools but it also has middleware, development tools business intelligence services, data management services, and many more.

Most importantly, it saves your time from coding with pre-coded application components built into the platform. PaaS gives your team new capabilities without hiring new required skilled staff. Development is cloud-based then the team can work on projects remotely.


Serverless is a type of cloud computing model that

 a)   Automatically provides the computing resources required to run application code on demand, or in need of a specific event;

 b)  Automatically scales present resources up or down according to demand;

 c)  Automatically scales resources to zero when the application stops running.

Serverless removes the overhead of all management responsibility for backend cloud operational tasks like provisioning, scheduling, scaling, patching, and more – to the cloud provider. This gives more time to the developer to develop and organize his front-end application development.

Above all, customers have to pay only for required tools to develop applications and only when those applications or tools are running.

One pitfall is that you don’t have control over how and when the code executes. Serverless often has start-up delays. 

Hybrid cloud and multi-cloud

A hybrid cloud is a type of cloud computing that connects a company’s on-premises private cloud services and public cloud into a single, flexible infrastructure for running the organization’s applications and workloads. A unique mix of public and private cloud resources gives an organization the free hand of selecting the optimal cloud for each application or workload.

 Multicloud lets you use two or more clouds from different cloud providers. The mixture can be Infrastructure, Platform, or Software as a Service. You can decide which workload suits better to which cloud according to requirements.

Testing and development

Testing and development are two different phases in application development. Each has its specification and methods. There are many uses of cloud computing but some are very important and amazing.

Cloud development, is discussed earlier in PaaS. In which we talk about cloud-based development environment. The need for resources and scale up and down in resources according to need.

Cloud software testing uses cloud environments and infrastructure to simulate realistic scenarios to measure software performance, functionality, and security. In cloud testing, you use someone else’s hardware, run the test, and deliver the test results. From this, it saves you from budget, deadline, and capacity as compared to on-premises testing.

Cloud testing is used to help multiple users and multiple teams to work on one project simultaneously. And think about real-world testing in which you have to buy your testing components and team members who are skilled in that field. if you don’t have the required skilled person then you have to go for someone’s else help. Cloud testing saves you from all that time waste and money. There are some subtypes of testing.

Big data analytics

Before going to talk about Big data and cloud computing relationships let’s see what is big data. If you think about the uses of cloud computing then data organization is most important.

Big data are sets of very large data that are the output of a variety of programs. It can be a large variety of types of data, and the data sets are usually not easy to query on a regular computer. The cloud offers solutions for big data analytics. You can store and process your structured or unstructured data, with various tools for data warehousing. If your data is unstructured then AI and ML (Machine learning) help you to organize your data. From there, the data can be harnessed and utilized in a variety of ways. For example, it can be searched, edited, and used for future use. Consequently, you get a pattern of some kind of stream from your data for analysis.

These results can help drive business growth, equipment, cost optimization, customer experience, and marketing improvements. The computing power services can help you analyze data in real-time to make on-time business decisions.

Cloud storage

Cloud storage is a cloud computing service that stores data on the Internet through a provider who manages and operates data storage as a service. This makes them available where ever you want to whomever. This is very helpful to those employees and contractors who work from home due to some illness and other reasons. Cloud providers save multiple copies of files for backup. In case of any equipment malfunction or natural disaster, then that backup is very useful.

It is one of the best uses of cloud computing. Cloud storage scales up as business and data grow. It is very fast and secure. For Example, Google Drive, Microsoft one drive, DropBox, and Mega.

Data backup and recovery

Keeping a backup of data is always a hard thing. But if you are involved in cloud computing then data backup is very easy because cloud providers keep multiple copies of data. Businesses choose to back up to the cloud to keep files and data readily available in any case of a system failure, outage, or natural disaster. There are three types of backup: Full backup, differential backup, and incremental backup.

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