As with any program, you might run into an error installing or running kubeadm. This page lists some common failure scenarios and have provided steps that can help you understand and fix the problem. If your problem is not listed below, please follow the following steps: If you think your problem is a bug with kubeadm: Go to github.com/kubernetes/kubeadm and search for existing issues. If no issue exists, please open one and follow the issue template.

This page explains two different approaches to setting up a highly available Kubernetes cluster using kubeadm: With stacked control plane nodes. This approach requires less infrastructure. The etcd members and control plane nodes are co-located. With an external etcd cluster. This approach requires more infrastructure. The control plane nodes and etcd members are separated. Before proceeding, you should carefully consider which approach best meets the needs of your applications and environment.

This document describes ephemeral volumes in Kubernetes. Familiarity with volumes is suggested, in particular PersistentVolumeClaim and PersistentVolume. Some applications need additional storage but don't care whether that data is stored persistently across restarts. For example, caching services are often limited by memory size and can move infrequently used data into storage that is slower than memory with little impact on overall performance. Other applications expect some read-only input data to be present in files, like configuration data or secret keys.

This page shows how to create a Pod that uses a Secret to pull an image from a private container image registry or repository. There are many private registries in use. This task uses Docker Hub as an example registry. 🛇 This item links to a third party project or product that is not part of Kubernetes itself. More information Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster.

Glossary This glossary is intended to be a comprehensive, standardized list of Kubernetes terminology. It includes te...

This page shows how a Pod can use environment variables to expose information about itself to containers running in the Pod, using the downward API. You can use environment variables to expose Pod fields, container fields, or both. In Kubernetes, there are two ways to expose Pod and container fields to a running container: Environment variables, as explained in this task Volume files Together, these two ways of exposing Pod and container fields are called the downward API.

This document details the deprecation policy for various facets of the system. Kubernetes is a large system with many components and many contributors. As with any such software, the feature set naturally evolves over time, and sometimes a feature may need to be removed. This could include an API, a flag, or even an entire feature. To avoid breaking existing users, Kubernetes follows a deprecation policy for aspects of the system that are slated to be removed.

In this example, you will run a Kubernetes Job with multiple parallel worker processes. In this example, as each pod is created, it picks up one unit of work from a task queue, completes it, deletes it from the queue, and exits. Here is an overview of the steps in this example: Start a message queue service. In this example, you use RabbitMQ, but you could use another one. In practice you would set up a message queue service once and reuse it for many jobs.

This page provides an overview of authentication in Kubernetes, with a focus on authentication to the Kubernetes API. Users in Kubernetes All Kubernetes clusters have two categories of users: service accounts managed by Kubernetes, and normal users. It is assumed that a cluster-independent service manages normal users in the following ways: an administrator distributing private keys a user store like Keystone or Google Accounts a file with a list of usernames and passwords In this regard, Kubernetes does not have objects which represent normal user accounts.

FEATURE STATE: Kubernetes v1.22 [stable](enabled by default) Kubernetes supports multiple appliers collaborating to manage the fields of a single object. Server-Side Apply provides an optional mechanism for your cluster's control plane to track changes to an object's fields. At the level of a specific resource, Server-Side Apply records and tracks information about control over the fields of that object. Server-Side Apply helps users and controllers manage their resources through declarative configuration.