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.

Production-Grade Container Orchestration

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.

FEATURE STATE: Kubernetes v1.18 [stable] This page shows how to configure Group Managed Service Accounts (GMSA) for Pods and containers that will run on Windows nodes. Group Managed Service Accounts are a specific type of Active Directory account that provides automatic password management, simplified service principal name (SPN) management, and the ability to delegate the management to other administrators across multiple servers. In Kubernetes, GMSA credential specs are configured at a Kubernetes cluster-wide scope as Custom Resources.

Learn how to configure networking for your cluster.

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.

Attribute-based access control (ABAC) defines an access control paradigm whereby access rights are granted to users through the use of policies which combine attributes together. Policy File Format To enable ABAC mode, specify --authorization-policy-file=SOME_FILENAME and --authorization-mode=ABAC on startup. The file format is one JSON object per line. There should be no enclosing list or map, only one map per line. Each line is a "policy object", where each such object is a map with the following properties:

Node-pressure eviction is the process by which the kubelet proactively terminates pods to reclaim resources on nodes. FEATURE STATE: Kubernetes v1.31 [beta] (enabled by default: true) Note:The split image filesystem feature, which enables support for the containerfs filesystem, adds several new eviction signals, thresholds and metrics. To use containerfs, the Kubernetes release v1.32 requires the KubeletSeparateDiskGC feature gate to be enabled. Currently, only CRI-O (v1.29 or higher) offers the containerfs filesystem support.

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 v1.14 [beta] kube-scheduler is the Kubernetes default scheduler. It is responsible for placement of Pods on Nodes in a cluster. Nodes in a cluster that meet the scheduling requirements of a Pod are called feasible Nodes for the Pod. The scheduler finds feasible Nodes for a Pod and then runs a set of functions to score the feasible Nodes, picking a Node with the highest score among the feasible ones to run the Pod.