Someone has automated the deployment of a highly available Kubernetes cluster using kubeadm, eliminating the need for manual configuration of virtual machines and cluster components. This development is valuable for those in the AI/ML/Data Science space who are experimenting with Kubernetes for model deployment or data processing, as it simplifies the creation of a realistic, on-premise testing environment. The script, which includes features like parallel node preparation and stage-based execution, is now available on Gumroad for those interested in learning or preparing for Kubernetes certifications.
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