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.

Kubernetes supports nodes that run Microsoft Windows.

Debugging common cluster issues.

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.

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.

Run Jobs using parallel processing.

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.

FEATURE STATE: Kubernetes v1.33 [stable] (enabled by default: true) 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.

This document shares how to validate IPv4/IPv6 dual-stack enabled Kubernetes clusters. Before you begin Provider support for dual-stack networking (Cloud provider or otherwise must be able to provide Kubernetes nodes with routable IPv4/IPv6 network interfaces) A network plugin that supports dual-stack networking. Dual-stack enabled cluster Your Kubernetes server must be at or later than version v1.23. To check the version, enter kubectl version. Note:While you can validate with an earlier version, the feature is only GA and officially supported since v1.

Kubernetes namespaces help different projects, teams, or customers to share a Kubernetes cluster. It does this by providing the following: A scope for Names. A mechanism to attach authorization and policy to a subsection of the cluster. Use of multiple namespaces is optional. This example demonstrates how to use Kubernetes namespaces to subdivide your 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.