Cloud native is a term used to describe applications or services that are built to run in a cloud computing environment. The term is generally used to describe applications that are designed to take advantage of the scalable, on-demand nature of cloud computing.
Cloud native applications are typically built using a microservices architecture, which allows for individual components of the application to be deployed and scaled independently. This can make cloud native applications more resilient to failure and easier to update and manage.
There are a number of benefits to designing and building cloud native applications, including the ability to:
– Scale on demand: Cloud native applications can be easily scaled up or down to meet changing demand, without the need to provision or manage additional infrastructure.
– Pay for only what you use: Cloud native applications can be deployed in a pay-as-you-go model, so you only pay for the resources you use.
– Increase agility: Cloud native applications can be quickly updated and deployed, without the need to provision or manage additional infrastructure.
– Improve resiliency: Cloud native applications are designed to be resilient to failure, meaning that if one component fails, the rest of the application can continue to run.
There are a number of different cloud native use cases, including:
– Web applications: Cloud native web applications can be quickly deployed and scaled to meet changing demand.
– Mobile applications: Cloud native mobile applications can take advantage of the on-demand nature of cloud computing to scale quickly and efficiently.
– Big data applications: Cloud native big data applications can be easily scaled to process large data sets.
– Internet of Things (IoT) applications: Cloud native IoT applications can be quickly deployed and scaled to support a large number of devices.
– Artificial intelligence (AI) and machine learning (ML) applications: Cloud native AI and ML applications can be easily deployed and scaled to support a large number of users.
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