This topic discusses multiple ways to interact with clusters. Accessing for the first time with kubectl When accessing the Kubernetes API for the first time, we suggest using the Kubernetes CLI, kubectl. To access a cluster, you need to know the location of the cluster and have credentials to access it. Typically, this is automatically set-up when you work through a Getting started guide, or someone else set up the cluster and provided you with credentials and a location.

This section is relevant for people adopting a new built-in sidecar containers feature for their workloads. Sidecar container is not a new concept as posted in the blog post. Kubernetes allows running multiple containers in a Pod to implement this concept. However, running a sidecar container as a regular container has a lot of limitations being fixed with the new built-in sidecar containers support. FEATURE STATE: Kubernetes v1.33 [stable](enabled by default) Objectives Understand the need for sidecar containers Be able to troubleshoot issues with the sidecar containers Understand options to universally "inject" sidecar containers to any workload Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster.

Production-Grade Container Orchestration

This page shows how to use kubectl to list all of the Container images for Pods running in 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:

Objectives Scale an existing app manually using kubectl. Scaling an application You can create from the start a Deployment with multiple instances using the --replicas parameter for the kubectl create deployment command. Previously we created a Deployment, and then exposed it publicly via a Service. The Deployment created only one Pod for running our application. When traffic increases, we will need to scale the application to keep up with user demand.

Production-Grade Container Orchestration

This page shows how to contribute to the upstream kubernetes/kubernetes project. You can fix bugs found in the Kubernetes API documentation or the content of the Kubernetes components such as kubeadm, kube-apiserver, and kube-controller-manager. If you instead want to regenerate the reference documentation for the Kubernetes API or the kube-* components from the upstream code, see the following instructions: Generating Reference Documentation for the Kubernetes API Generating Reference Documentation for the Kubernetes Components and Tools Before you begin You need to have these tools installed:

This site uses Hugo. In Hugo, content organization is a core concept. Note:Hugo Tip: Start Hugo with hugo server --navigateToChanged for content edit-sessions. Page Lists Page Order The documentation side menu, the documentation page browser etc. are listed using Hugo's default sort order, which sorts by weight (from 1), date (newest first), and finally by the link title. Given that, if you want to move a page or a section up, set a weight in the page's front matter:

This page shows how to create a new topic for the Kubernetes docs. Before you begin Create a fork of the Kubernetes documentation repository as described in Open a PR. Choosing a page type As you prepare to write a new topic, think about the page type that would fit your content the best: Guidelines for choosing a page type Type Description Concept A concept page explains some aspect of Kubernetes.

Define a range of valid CPU resource limits for a namespace, so that every new Pod in that namespace falls within the range you configure.