Gateway API is a family of API kinds that provide dynamic infrastructure provisioning and advanced traffic routing.

You've deployed your application and exposed it via a Service. Now what? Kubernetes provides a number of tools to help you manage your application deployment, including scaling and updating. Organizing resource configurations Many applications require multiple resources to be created, such as a Deployment along with a Service. Management of multiple resources can be simplified by grouping them together in the same file (separated by --- in YAML). For example:

Recommendations for designing and deploying admission webhooks in Kubernetes.

A Deployment manages a set of Pods to run an application workload, usually one that doesn't maintain state.

FEATURE STATE: Kubernetes v1.33 [stable](enabled by default) This document shares how to extend the existing Service IP range assigned to a cluster. Before you begin 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. If you do not already have a cluster, you can create one by using minikube or you can use one of these Kubernetes playgrounds:

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

Debugging common cluster issues.

This page shows how to perform a rolling update on a DaemonSet. Before you begin 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. If you do not already have a cluster, you can create one by using minikube or you can use one of these Kubernetes playgrounds:

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.

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.