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

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Synopsis Create a LoadBalancer service with the specified name. kubectl create service loadbalancer NAME [--tcp=port:targetPort] [--dry-run=server|client|none] Examples # Create a new LoadBalancer service named my-lbs kubectl create service loadbalancer my-lbs --tcp=5678:8080 Options --allow-missing-template-keys     Default: true If true, ignore any errors in templates when a field or map key is missing in the template. Only applies to golang and jsonpath output formats. --dry-run string[="unchanged"]     Default: "none" Must be "none", "server", or "client". If client strategy, only print the object that would be sent, without sending it.

Production-Grade Container Orchestration

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FEATURE STATE: Kubernetes 1.34 [beta] A Kubernetes kuberc configuration file allows you to define preferences for kubectl, such as default options and command aliases. Unlike the kubeconfig file, a kuberc configuration file does not contain cluster details, usernames or passwords. The default location of this configuration file is $HOME/.kube/kuberc. To provide kubectl with a path to a custom kuberc file, use the --kuberc command line option, or set the KUBERC environment variable.

Production-Grade Container Orchestration

This page shows how to contribute to the upstream kubernetes/kubernetes project. You can fix bugs found in the Kubernetes API documentation or the content of the Kubernetes components such as kubeadm, kube-apiserver, and kube-controller-manager. If you instead want to regenerate the reference documentation for the Kubernetes API or the kube-* components from the upstream code, see the following instructions: Generating Reference Documentation for the Kubernetes API Generating Reference Documentation for the Kubernetes Components and Tools Before you begin You need to have these tools installed:

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MicroK8s is the simplest production-grade upstream K8s. Lightweight and focused. Single command install on Linux, Windows and macOS. Made for devops, great for edge, appliances and IoT. Full high availability Kubernetes with autonomous clusters.