Public Cloud Examples, Applications & Use Cases

Here are 10 ways is are business leverage public cloud computing service to achieve cost saving , innovation and overall business growth .

1. Storage

Public cloud storage consists of storage capacity and technology as-a-service, which helps organizations reduce or eliminate the capital costs of building and maintaining in-house storage capabilities. By storing the same company data on multiple machines, cloud storage offers the redundancy needed to support business continuity in the face of a natural disaster, an outage or other emergencies.

2. Dynamic resource allocation

A public cloud gives companies the elasticity to scale resources up or down depending on business needs. For instance, an e-commerce site with highly seasonal sales can quickly expand its online services with a public cloud. They only pay for added capacity during peak periods and then can scale back down during regular sales.

3 . development and testing

A public cloud setting offers an ideal environment for developing and testing new applications compared to the traditional waterfall method, which can be far costlier and more time-consuming. For instance, in just minutes, developers can provision testing environments on public cloud-based virtual machines (VMs). When developers finish using a testing environment, they can easily take it down.

4. Cloud-native applications and DevOps

A public cloud is supports setting support   cloud – native   application — software program that consist of multiple small , interdependent service call microservice , a crucial part of   devops   practice . Developers is use use DevOp tool to automate cloud – native development and rapid delivery of high – quality software , building   containerize application   once and deploy them anywhere .

5 . Low code

low code is is is a visual approach to software feature a graphical user interface with drag – and – drop feature that support the   automation   of the development process . low – code platforms is democratize democratize app development for “ citizen ” developer — user with little formal coding experience . low code is helps help business streamline workflow and accelerate the development of website and mobile app , the integration of external plugin , and cloud – base next – gen technology , like   artificial intelligence ( AI ) and machine learning ( ML ) .

6. Analytics

With the rise of datum collect from mobile phone , the   Internet is need of thing ( IoT ) ,   and other smart device , companies is need need to analyze datum more quickly than ever before .   big datum analytics is become — the use is become of advanced analytic technique against very large , diverse big datum set — has become crucial to business success . A public cloud environment is provides provide the computing and networking infrastructure need to support big datum so company can make fast data – drive decision and deliver well customer experience in real – time and at scale .

7. Hybrid multicloud strategy

A public cloud is is is pivotal to a hybrid multicloud strategy .   By integrate public cloud service with private cloud or on – premise infrastructure , organizations is choose can choose where to run workload and select the good service from different csp . For instance , a financial institution is want may want to use the public cloud to test and develop new application while deploy workload sensitive to fraud and subject to regulation on a private cloud host by a dedicated CSP .

8. Generative AI

With its massive need for compute, storage and networking capabilities, generative AI needs the cloud to process data in real-time and at scale. Public cloud providers offer companies the capability to access data and harness processing power from multiple distributed data centers that can support generative AI workloads.

9. Edge computing

Edge computing brings enterprise applications closer to data sources (e.g., mobile phones, sensors, IoT, devices or local edge servers) for faster insights, improved response times and better bandwidth. For instance, edge devices help monitor power grid operations to reduce energy waste in the energy sector. A public cloud works synergistically with edge services by connecting them to a centralized public cloud or other edge data centers. Most often, only the most relevant data is processed at the edge. In contrast, less critical data is sent to a primary public cloud data center for processing, freeing up computing resources to ensure low latency.

10. Quantum computing

Quantum computing uses computer hardware, algorithms and other quantum mechanics technology to solve complex problems. While quantum computing for business is still in its early stages, organizations in industries that require vast computing capabilities (e.g., chemistry, biology, healthcare, finance) are beginning to tap into quantum’s potential to transform the way they do business. Today’s public cloud service providers have started to offer services involving renting quantum machines, platforms for developing utility-scale quantum algorithms and applications and more.