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Kubernetes architecture diagram. Kubernetes defines a set of building blocks ("primitives") that collectively provide mechanisms that deploy, maintain, and scale applications based on CPU, memory [29] or custom metrics. [30] Kubernetes is loosely coupled and extensible to meet the needs of different
In software engineering, containerization is operating-system–level virtualization or application-level virtualization over multiple network resources so that software applications can run in isolated user spaces called containers in any cloud or non-cloud environment, regardless of type or vendor. [1]
Cilium began as a networking project and has many features that allow it to provide a consistent connectivity experience from Kubernetes workloads to virtual machines and physical servers running in the cloud, on-premises, or at the edge. Some of these include: Container Network Interface (CNI) [65] - Provides networking for Kubernetes clusters
In 2017, CNCF also helped the Linux Foundation launch a free Kubernetes course on the EdX platform [102] — which has more than 88,000 enrollments. [103] The self-paced course covers the system architecture, the problems Kubernetes solves, and the model it uses to handle containerized deployments and scaling.
In that case, the upper layers of the ETSI NFV MANO architecture (i.e. the NFVO and VNFM) cooperate with a container infrastructure service management (CISM) function [5] that is typically implemented using cloud-native orchestration solutions (e.g. Kubernetes). The characteristics of cloud-native network functions are: [6] [7]
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 [8] (although there is a large amount of competing open source that supports cloud-native ...
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The first public build of Kubernetes is released on September 8, 2014. [7] When Kubernetes debuted, it offered a number of advantages over Docker, the most popular containerization platform at the time. The purpose of Kubernetes was to make it simple for users to deploy containerized applications across a sizable cluster of container hosts.