Cloud-native architecture is an approach to designing, constructing, and operating workloads to work solely in the cloud. An app is said to be cloud-native if it's made from the ground up to fully take advantage of the cloud computing infrastructure.

In this blog, we look at how cloud-native architecture is different from traditional native architecture, its benefits, and challenges and briefly explain why it's essential for your business going forward.

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Cloud-native application development enables the building of new applications, support optimization, implementing new features, or integrating multiple apps into one software swiftly without much fuss. It involves DevOps, agile methodology, containers like Kubernetes and Docker, and continuous delivery. As a result, cloud-native technologies enable businesses to build and run applications and meet customers' challenging requirements without many bottlenecks. In addition, the flexibility the cloud provides developers to drastically change the software at hand with much predictability and confidence.

Cloud native application architecture development enables us to move away from monolithic application infrastructure that uses the traditional Waterfall method of development to more efficient, effective, and flexible, agile application development techniques focusing on continuous delivery. Furthermore, it enables developers to take a modular approach to build, run, and update the software through secure cloud-based microservices.

Abstraction of the OS

As cloud-native application architecture frees developers from configuring, patching, and maintaining operating systems, it saves time to focus on product development. In other words, a cloud-native application architecture enables developers to use an operating system as a platform for abstracting away from underlying infrastructure dependencies. While on the other hand, traditional application architecture only allows developers to build close dependencies between the application and underlying OS, hardware, storage, and backing services. Such dependencies make migrating and scaling the build application across new infrastructure challenging, time-consuming and complex.