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An Operator is a method of packaging, deploying, and managing a Kubernetes application. It is designed for running stateful workloads and was first introduced by CoreOS in 2016. [ 15 ] TiDB Operator [ 16 ] was originally developed by PingCAP and open-sourced in August, 2018. [ 17 ]
The open source MySQL Ndb Operator simplifies the deployment and operation of MySQL Cluster on a Kubernetes cluster. Ndb Operator deploys containerized MySQL Cluster Data, Management and SQL nodes in a number of StatefulSets with data stored in Persistent Volumes. Kubernetes mechanisms extend the high availability features of MySQL Cluster, for ...
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 ...
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]
Third party support for database container images has grown, including MongoDB, PostgreSQL, MySQL from Oracle, and Microsoft SQL Server from Microsoft, and from independent port's of docker (software) from Windocks [2] Kubernetes, and the development of the Kubernetes Operator pattern by CoreOS, further extended the ability to orchestrate ...
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 ...
An embedded OperatorHub. This is a web GUI where users can browse and install a library of Kubernetes Operators that have been packaged for easy lifecycle management. These include Red Hat authored Operators, Red Hat Certified Operators and Community Operators. [10] OpenShift v4 tightly controls the operating systems used.
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.