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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. [32] Kubernetes provides two modes of service discovery, using environment variables or using Kubernetes DNS. [59]
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 ...
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.
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 ...
The Solr Operator helps deploy and run Solr in Kubernetes. In February 2021, Solr was established as a separate Apache project (TLP), independent from Lucene. In May 2022, Solr 9.0 was released, [ 19 ] as the first release independent from Lucene, requiring Java 11, and with highlights such as KNN "Neural" search, better modularization, more ...
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.
Snap is a software packaging and deployment system developed by Canonical for operating systems that use the Linux kernel and the systemd init system. The packages, called snaps, and the tool for using them, snapd, work across a range of Linux distributions [3] and allow upstream software developers to distribute their applications directly to users.
An open-source container storage interface (CSI) driver enables BeeGFS to be used with container orchestrators like Kubernetes. [11] The driver is designed to support environments where containers running in Kubernetes and jobs running in traditional HPC workload managers need to share access to the same BeeGFS file system.