Being platform agnostic, Kubernetes clusters are not restricted to individual operating systems they can run anywhere. Lightweight, flexible, and capable of more efficiently fulfilling the same role as a virtual machine, Kubernetes clusters make it easier for organizations to build, move, and manage applications across environments. A Kubernetes cluster consists of nodes for running containerized applications. The Kubernetes architecture can be broken down into clusters. To understand how Kubernetes works, let’s take a high-level look at the Kubernetes architecture. Simply put, Kubernetes is a single interface that allows organizations to deploy containers to clouds, virtual machines, and physical hardware of all kinds. Originally designed by Google and currently maintained by the Cloud Native Computing Foundation (which is under the umbrella of the Linux Foundation), Kubernetes is an open-source solution, making it extremely adaptable to the needs of individual organizations.
#What is kubernetes architecture manual
Kubernetes (sometimes designated as k8s) automates containerized application deployment across a cluster of machines, eliminating the need for manual administration. Kubernetes may be the most effective, widely used container orchestration tool available today. To facilitate deploying, managing, and scaling container-based applications, IT professionals rely on container orchestration. These containers can also be expanded, isolated, and removed easily, without adversely impacting the other containers or the environment. Containerized apps are also much more portable, and with no hypervisor involved, greater performance levels are achieved. Microservices in turn allow various DevOps teams to work on portions of the overall app in parallel for faster development, debugging, and deployment in production.Ĭontainers have further advantages as they are very lightweight versus virtual machines, allowing higher server densities to be realized.
Containers enable the use of microservices to allow “monolithic apps” to be disaggregated and run anywhere within multiple containers. Containerization empowers applications from different environments to share an operating system while still maintaining the information and configuration that allow them to work as intended.