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A Kubernetes service is a set of pods that work together, such as one tier of a multi-tier application. The set of pods that constitute a service are defined by a label selector. [31] Kubernetes provides two modes of service discovery, using environment variables or using Kubernetes DNS. [58]
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]
Kubeflow is an open-source platform for machine learning and MLOps on Kubernetes introduced by Google.The different stages in a typical machine learning lifecycle are represented with different software components in Kubeflow, including model development (Kubeflow Notebooks [4]), model training (Kubeflow Pipelines, [5] Kubeflow Training Operator [6]), model serving (KServe [a] [7]), and ...
OpenShift is a family of containerization software products developed by Red Hat.Its flagship product is the OpenShift Container Platform — a hybrid cloud platform as a service built around Linux containers orchestrated and managed by Kubernetes on a foundation of Red Hat Enterprise Linux.
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]
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
Using multiple deployments and services, Kubernetes allows operators to manage traffic routing between blue and green environments with minimal risk of service interruptions. Tools like ArgoCD or Spinnaker further enhance automation by integrating deployment pipelines directly with Kubernetes clusters.
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.