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Kubernetes is commonly used as a way to host a microservice-based implementation, because it and its associated ecosystem of tools provide all the capabilities needed to address key concerns of any microservice architecture.
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]
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]
In 2017, CNCF also helped the Linux Foundation launch a free Kubernetes course on the EdX platform [104] — which has more than 88,000 enrollments. [105] The self-paced course covers the system architecture, the problems Kubernetes solves, and the model it uses to handle containerized deployments and scaling.
Mirantis Inc. is a Campbell, California, based B2B open source cloud computing software and services company. Its primary container and cloud management products, part of the Mirantis Cloud Native Platform suite of products, [1] are Mirantis Container Cloud and Mirantis Kubernetes Engine (formerly Docker Enterprise). [2]
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.
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 ...
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 ...