Synopsis Update the user, group, or service account in a role binding or cluster role binding. kubectl set subject (-f FILENAME | TYPE NAME) [--user=username] [--group=groupname] [--serviceaccount=namespace:serviceaccountname] [--dry-run=server|client|none] Examples # Update a cluster role binding for serviceaccount1 kubectl set subject clusterrolebinding admin --serviceaccount=namespace:serviceaccount1 # Update a role binding for user1, user2, and group1 kubectl set subject rolebinding admin --user=user1 --user=user2 --group=group1 # Print the result (in YAML format) of updating rolebinding subjects from a local, without hitting the server kubectl create rolebinding admin --role=admin --user=admin -o yaml --dry-run=client | kubectl set subject --local -f - --user=foo -o yaml Options --all Select all resources, in the namespace of the specified resource types

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Production-Grade Container Orchestration

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

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To scale an application and provide a reliable service, you need to understand how the application behaves when it is deployed. You can examine application performance in a Kubernetes cluster by examining the containers, pods, services, and the characteristics of the overall cluster. Kubernetes provides detailed information about an application's resource usage at each of these levels. This information allows you to evaluate your application's performance and where bottlenecks can be removed to improve overall performance.

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

This documentation is about investigating and diagnosing kubectl related issues. If you encounter issues accessing kubectl or connecting to your cluster, this document outlines various common scenarios and potential solutions to help identify and address the likely cause. Before you begin You need to have a Kubernetes cluster. You also need to have kubectl installed - see install tools Verify kubectl setup Make sure you have installed and configured kubectl correctly on your local machine.

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

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