Cloud native computing
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Cloud native computing is an approach in software development that utilizes cloud computing to "build and run scalable applications in modern, dynamic environments such as public, private, and hybrid clouds".[1] Technologies such as containers, microservices, serverless functions and immutable infrastructure, deployed via declarative code are common elements of this architectural style.[2][3]
These techniques enable loosely coupled systems that are resilient, manageable, and observable. Combined with robust automation, they allow engineers to make high-impact changes frequently and predictably with minimal toil.
Frequently, cloud-native applications are built as a set of microservices that run in Docker containers, and may be orchestrated in Kubernetes and managed and deployed using DevOps and Git CI workflows[4] (although there is a large amount of competing open source that supports cloud-native development). The advantage of using Docker containers is the ability to package all software needed to execute into one executable package. The container runs in a virtualized environment, which isolates the contained application from its environment.[2]
See also
- Cloud Native Computing Foundation
- Dapr
References
- ↑ "CNCF Cloud Native Definition v1.0" (in en-US). 2018-06-11. https://github.com/cncf/toc/blob/master/DEFINITION.md.
- ↑ 2.0 2.1 "What is Cloud-Native? Is It Hype or the Future of Software Development?" (in en-US). 2018-02-07. https://stackify.com/cloud-native/.
- ↑ "What is cloud native computing? - Open Source Insider". https://www.computerweekly.com/blog/Open-Source-Insider/What-is-cloud-native-computing.
- ↑ "3 Reasons Why You Can't Afford to Ignore Cloud Native Computing" (in en-US). 2019-04-25. https://thenewstack.io/3-reasons-why-you-cant-afford-to-ignore-cloud-native-computing/.
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