FastAPI framework, high performance, easy to learn, fast to code, ready for production

Synopsis View the latest last-applied-configuration annotations by type/name or file. The default output will be printed to stdout in YAML format. You can use the -o option to change the output format. kubectl apply view-last-applied (TYPE [NAME | -l label] | TYPE/NAME | -f FILENAME) Examples # View the last-applied-configuration annotations by type/name in YAML kubectl apply view-last-applied deployment/nginx # View the last-applied-configuration annotations by file in JSON kubectl apply view-last-applied -f deploy.

Performs a best effort revert of changes made by kubeadm init or kubeadm join. Performs a best effort revert of changes made to this host by 'kubeadm init' or 'kubeadm join' Synopsis Performs a best effort revert of changes made to this host by 'kubeadm init' or 'kubeadm join' The "reset" command executes the following phases: preflight Run reset pre-flight checks remove-etcd-member Remove a local etcd member. cleanup-node Run cleanup node.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

kubeadm upgrade apply phase Using the phases of kubeadm upgrade apply, you can choose to execute the separate steps of the initial upgrade of a control plane node. phase preflight control-plane upload-config kubelet-config bootstrap-token addon post-upgrade Use this command to invoke single phase of the "apply" workflow Synopsis Use this command to invoke single phase of the "apply" workflow kubeadm upgrade apply phase [flags] Options -h, --help help for phase

Synopsis Reconciles rules for RBAC role, role binding, cluster role, and cluster role binding objects. Missing objects are created, and the containing namespace is created for namespaced objects, if required. Existing roles are updated to include the permissions in the input objects, and remove extra permissions if --remove-extra-permissions is specified. Existing bindings are updated to include the subjects in the input objects, and remove extra subjects if --remove-extra-subjects is specified.

Production-Grade Container Orchestration

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In Kubernetes, a HorizontalPodAutoscaler automatically updates a workload resource (such as a Deployment or StatefulSet), with the aim of automatically scaling the workload to match demand. Horizontal scaling means that the response to increased load is to deploy more Pods. This is different from vertical scaling, which for Kubernetes would mean assigning more resources (for example: memory or CPU) to the Pods that are already running for the workload.

FastAPI framework, high performance, easy to learn, fast to code, ready for production