The dockershim component of Kubernetes allows the use of Docker as a Kubernetes's container runtime. Kubernetes' built-in dockershim component was removed in release v1.24. This page explains how your cluster could be using Docker as a container runtime, provides details on the role that dockershim plays when in use, and shows steps you can take to check whether any workloads could be affected by dockershim removal. Finding if your app has a dependencies on Docker If you are using Docker for building your application containers, you can still run these containers on any container runtime.

FEATURE STATE: Kubernetes v1.27 [beta] System component traces record the latency of and relationships between operations in the cluster. Kubernetes components emit traces using the OpenTelemetry Protocol with the gRPC exporter and can be collected and routed to tracing backends using an OpenTelemetry Collector. Trace Collection Kubernetes components have built-in gRPC exporters for OTLP to export traces, either with an OpenTelemetry Collector, or without an OpenTelemetry Collector. For a complete guide to collecting traces and using the collector, see Getting Started with the OpenTelemetry Collector.

Before you begin You must use a kubectl version that is within one minor version difference of your cluster. For example, a v1.35 client can communicate with v1.34, v1.35, and v1.36 control planes. Using the latest compatible version of kubectl helps avoid unforeseen issues. Install kubectl on Windows The following methods exist for installing kubectl on Windows: Install kubectl binary on Windows (via direct download or curl) Install on Windows using Chocolatey, Scoop, or winget Install kubectl binary on Windows (via direct download or curl) You have two options for installing kubectl on your Windows device

This page explains how to add Linux worker nodes to a kubeadm cluster. Before you begin Each joining worker node has installed the required components from Installing kubeadm, such as, kubeadm, the kubelet and a container runtime. A running kubeadm cluster created by kubeadm init and following the steps in the document Creating a cluster with kubeadm. You need superuser access to the node. Adding Linux worker nodes To add new Linux worker nodes to your cluster do the following for each machine:

This page explains how to enable a package repository for the desired Kubernetes minor release upon upgrading a cluster. This is only needed for users of the community-owned package repositories hosted at pkgs.k8s.io. Unlike the legacy package repositories, the community-owned package repositories are structured in a way that there's a dedicated package repository for each Kubernetes minor version. Note:This guide only covers a part of the Kubernetes upgrade process. Please see the upgrade guide for more information about upgrading Kubernetes clusters.

Kustomize is a standalone tool to customize Kubernetes objects through a kustomization file. Since 1.14, kubectl also supports the management of Kubernetes objects using a kustomization file. To view resources found in a directory containing a kustomization file, run the following command: kubectl kustomize <kustomization_directory> To apply those resources, run kubectl apply with --kustomize or -k flag: kubectl apply -k <kustomization_directory> 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.

Kubernetes offers two distinct ways for clients that run within your cluster, or that otherwise have a relationship to your cluster's control plane to authenticate to the API server. A service account provides an identity for processes that run in a Pod, and maps to a ServiceAccount object. When you authenticate to the API server, you identify yourself as a particular user. Kubernetes recognises the concept of a user, however, Kubernetes itself does not have a User API.

Set up Kubernetes tools on your computer.

Production-Grade Container Orchestration

This guide is to help users debug applications that are deployed into Kubernetes and not behaving correctly. This is not a guide for people who want to debug their cluster. For that you should check out this guide. Diagnosing the problem The first step in troubleshooting is triage. What is the problem? Is it your Pods, your Replication Controller or your Service? Debugging Pods Debugging Replication Controllers Debugging Services Debugging Pods The first step in debugging a Pod is taking a look at it.