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Cloud Native Computing
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Cloud Native Computing Foundation: CNCF Projects, Cloud Native Frameworks, Cloud Native DevOps - Cloud Native SRE - Cloud Native CI/CD, Cloud Native Security - Cloud Native DevSecOps - Falco, Cloud Native Kubernetes, Cloud Native Containerization, Cloud Native Docker, Cloud Native Service Mesh, Cloud Native Microservices, Cloud Native AWS - Cloud Native AWS - Cloud Native GCP - Cloud Native IBM Cloud - Cloud Native Mainframe, Cloud Native Mobile (Cloud Native Android, Cloud Native iOS), Cloud Native Programming Languages ( Cloud Native C# .NET - Cloud Native Azure, Cloud Native Golang, Cloud Native Java - Cloud Native Spring - Cloud Native Quarkus, Cloud Native JavaScript - Cloud Native React, Cloud Native Kotlin, Cloud Native Python - Cloud Native Django - Cloud Native Flask, Cloud Native Rust, Cloud Native Swift, Cloud Native TypeScript - Cloud Native Angular; Cloud Native Linux, Cloud Native Windows, Cloud Native Message Brokers, Cloud Native Kafka, Cloud Native Functional Programming, Cloud Native Concurrency, Cloud Native Data Science - Cloud Native Databases, Cloud Native Machine Learning, Cloud Native Bibliography, Manning Cloud Native Series, Cloud Native Courses, Cloud Native Glossary, Awesome Cloud Native, Cloud Native GitHub, Cloud Native Topics. (navbar_cloud_native_languages and navbar_cncf)
- Snippet from Wikipedia: Cloud-native computing
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". These technologies, such as containers, microservices, serverless functions, cloud native processors and immutable infrastructure, deployed via declarative code are common elements of this architectural style. Cloud native technologies focus on minimizing users' operational burden.
Cloud native 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." This independence contributes to the overall resilience of the system, as issues in one area do not necessarily cripple the entire application. Additionally, such systems are easier to manage, and monitor, given their modular nature, which simplifies tracking performance and identifying issues.
Frequently, cloud-native applications are built as a set of microservices that run in Open Container Initiative compliant containers, such as Containerd, and may be orchestrated in Kubernetes and managed and deployed using DevOps and Git CI workflows (although there is a large amount of competing open source that supports cloud-native development). The advantage of using 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.
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