This page demonstrates the generation of metrics reference documentation. Before you begin Requirements: You need a machine that is running Linux or macOS. You need to have these tools installed: Python v3.7.x+ Git Golang version 1.13+ Pip used to install PyYAML PyYAML v5.1.2 make gcc compiler/linker Docker (Required only for kubectl command reference) Your PATH environment variable must include the required build tools, such as the Go binary and python.

This page contains information about the kubernetes.io analytics dashboard. View the dashboard. This dashboard is built using Google Looker Studio and shows information collected on kubernetes.io using Google Analytics 4 since August 2022. Using the dashboard By default, the dashboard shows all collected analytics for the past 30 days. Use the date selector to see data from a different date range. Other filtering options allow you to view data based on user location, the device used to access the site, the translation of the docs used, and more.

This page contains guidelines for Kubernetes documentation. If you have questions about what's allowed, join the #sig-docs channel in Kubernetes Slack and ask! You can register for Kubernetes Slack at https://slack.k8s.io/. For information on creating new content for the Kubernetes docs, follow the style guide. Overview Source for the Kubernetes website, including the docs, resides in the kubernetes/website repository. Located in the kubernetes/website/content/<language_code>/docs folder, the majority of Kubernetes documentation is specific to the Kubernetes project.

FEATURE STATE: Kubernetes v1.11 [stable] crictl is a command-line interface for CRI-compatible container runtimes. You can use it to inspect and debug container runtimes and applications on a Kubernetes node. crictl and its source are hosted in the cri-tools repository. Before you begin crictl requires a Linux operating system with a CRI runtime. Installing crictl You can download a compressed archive crictl from the cri-tools release page, for several different architectures.

In this example, you will run a Kubernetes Job that runs multiple parallel tasks as worker processes, each running as a separate Pod. In this example, as each pod is created, it picks up one unit of work from a task queue, processes it, and repeats until the end of the queue is reached. Here is an overview of the steps in this example: Start a storage service to hold the work queue.

A HorizontalPodAutoscaler (HPA for short) automatically updates a workload resource (such as a Deployment or StatefulSet), with the aim of automatically scaling the workload to match demand. Horizontal scaling means that the response to increased load is to deploy more Pods. This is different from vertical scaling, which for Kubernetes would mean assigning more resources (for example: memory or CPU) to the Pods that are already running for the workload.

This page shows how to debug a node running on the Kubernetes cluster using kubectl debug command. 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:

An issue that comes up rather frequently for new installations of Kubernetes is that a Service is not working properly. You've run your Pods through a Deployment (or other workload controller) and created a Service, but you get no response when you try to access it. This document will hopefully help you to figure out what's going wrong. Running commands in a Pod For many steps here you will want to see what a Pod running in the cluster sees.

Creating Secret objects using kubectl command line.

This page contains a list of commonly used kubectl commands and flags. Note:These instructions are for Kubernetes v1.34. To check the version, use the kubectl version command. Kubectl autocomplete BASH source <(kubectl completion bash) # set up autocomplete in bash into the current shell, bash-completion package should be installed first. echo "source <(kubectl completion bash)" >> ~/.bashrc # add autocomplete permanently to your bash shell. You can also use a shorthand alias for kubectl that also works with completion: