This page explains how to debug Pods running (or crashing) on a Node. Before you begin Your Pod should already be scheduled and running. If your Pod is not yet running, start with Debugging Pods. For some of the advanced debugging steps you need to know on which Node the Pod is running and have shell access to run commands on that Node. You don't need that access to run the standard debug steps that use kubectl.

Creating Secret objects using kubectl command line.

The Kubernetes model for connecting containers Now that you have a continuously running, replicated application you can expose it on a network. Kubernetes assumes that pods can communicate with other pods, regardless of which host they land on. Kubernetes gives every pod its own cluster-private IP address, so you do not need to explicitly create links between pods or map container ports to host ports. This means that containers within a Pod can all reach each other's ports on localhost, and all pods in a cluster can see each other without NAT.

In this example, you will run a Kubernetes Job that runs multiple parallel tasks as worker processes, each running as a separate Pod. In this example, as each pod is created, it picks up one unit of work from a task queue, processes it, and repeats until the end of the queue is reached. Here is an overview of the steps in this example: Start a storage service to hold the work queue.

FEATURE STATE: Kubernetes v1.26 [beta] This document shows you how to use the Pod failure policy, in combination with the default Pod backoff failure policy, to improve the control over the handling of container- or Pod-level failure within a Job. The definition of Pod failure policy may help you to: better utilize the computational resources by avoiding unnecessary Pod retries. avoid Job failures due to Pod disruptions (such preemption, API-initiated eviction or taint-based eviction).

Learn about Kubernetes cluster and create a simple cluster using Minikube.

During kubeadm init, kubeadm uploads the ClusterConfiguration object to your cluster in a ConfigMap called kubeadm-config in the kube-system namespace. This configuration is then read during kubeadm join, kubeadm reset and kubeadm upgrade. You can use kubeadm config print to print the default static configuration that kubeadm uses for kubeadm init and kubeadm join. Note: The output of the command is meant to serve as an example. You must manually edit the output of this command to adapt to your setup.

Bootstrap tokens are used for establishing bidirectional trust between a node joining the cluster and a control-plane node, as described in authenticating with bootstrap tokens. kubeadm init creates an initial token with a 24-hour TTL. The following commands allow you to manage such a token and also to create and manage new ones. kubeadm token create Create bootstrap tokens on the server Synopsis This command will create a bootstrap token for you.

kubeadm kubeconfig provides utilities for managing kubeconfig files. For examples on how to use kubeadm kubeconfig user see Generating kubeconfig files for additional users. kubeadm kubeconfig overview Kubeconfig file utilities Synopsis Kubeconfig file utilities. Options -h, --help help for kubeconfig Options inherited from parent commands --rootfs string [EXPERIMENTAL] The path to the 'real' host root filesystem. kubeadm kubeconfig user This command can be used to output a kubeconfig file for an additional user.

kubectl reference kubectl kubectl annotate kubectl api-resources kubectl api-versions kubectl apply kubectl attach ku...