Synopsis Request a service account token. kubectl create token SERVICE_ACCOUNT_NAME Examples # Request a token to authenticate to the kube-apiserver as the service account "myapp" in the current namespace kubectl create token myapp # Request a token for a service account in a custom namespace kubectl create token myapp --namespace myns # Request a token with a custom expiration kubectl create token myapp --duration 10m # Request a token with a custom audience kubectl create token myapp --audience https://example.

Production-Grade Container Orchestration

Production-Grade Container Orchestration

Production-Grade Container Orchestration

Production-Grade Container Orchestration

Synopsis Create a priority class with the specified name, value, globalDefault and description. kubectl create priorityclass NAME --value=VALUE --global-default=BOOL [--dry-run=server|client|none] Examples # Create a priority class named high-priority kubectl create priorityclass high-priority --value=1000 --description="high priority" # Create a priority class named default-priority that is considered as the global default priority kubectl create priorityclass default-priority --value=1000 --global-default=true --description="default priority" # Create a priority class named high-priority that cannot preempt pods with lower priority kubectl create priorityclass high-priority --value=1000 --description="high priority" --preemption-policy="Never" 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.

Many applications rely on configuration which is used during either application initialization or runtime. Most times, there is a requirement to adjust values assigned to configuration parameters. ConfigMaps are a Kubernetes mechanism that let you inject configuration data into application pods. The ConfigMap concept allow you to decouple configuration artifacts from image content to keep containerized applications portable. For example, you can download and run the same container image to spin up containers for the purposes of local development, system test, or running a live end-user workload.

Node Problem Detector is a daemon for monitoring and reporting about a node's health. You can run Node Problem Detector as a DaemonSet or as a standalone daemon. Node Problem Detector collects information about node problems from various daemons and reports these conditions to the API server as Node Conditions or as Events. To learn how to install and use Node Problem Detector, see Node Problem Detector project documentation.

FEATURE STATE: Kubernetes v1.24 [stable] In this example, you will run a Kubernetes Job that uses multiple parallel worker processes. Each worker is a different container running in its own Pod. The Pods have an index number that the control plane sets automatically, which allows each Pod to identify which part of the overall task to work on. The pod index is available in the annotation batch.kubernetes.io/job-completion-index as a string representing its decimal value.

Kubernetes objects can be created, updated, and deleted by using the kubectl command-line tool along with an object configuration file written in YAML or JSON. This document explains how to define and manage objects using configuration files. Before you begin Install kubectl. You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts.