In the world of SRE, we talk a lot about observability, such as metrics, logs, and traces. In most cases, these three pillars of observability are related to infrastructure metrics or business metrics. For example, the current CPU usage of a Kubernetes pod, the number of videos played by online users per minute, etc. Besides this, there is another important area that is being explored nowadays: FinOps.

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This blog presents how to deploy a self-hosted Kubernetes cluster using kubeadm.

Note that usually we use kubeadm to bootstrap a K8s cluster that has several nodes. It is also easy to scale up the created cluster using kubeadm later. However, if you only need to have a learning environment of K8s, it might be easier to use some tools like kind, and minikube: https://kubernetes.io/docs/tasks/tools/

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