Kubernetes objects can be created, updated, and deleted by using the kubectl command-line tool along with an object configuration file written in YAML or JSON. This document explains how to define and manage objects using configuration files. 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. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts.

This page shows how to use an Init Container to initialize a Pod before an application Container runs. 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 example demonstrates how to limit the amount of storage consumed in a namespace. The following resources are used in the demonstration: ResourceQuota, LimitRange, and PersistentVolumeClaim. 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.

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.

Debugging common cluster issues.

FEATURE STATE: Kubernetes v1.35 [alpha](disabled by default) This page explains how to change the CPU and memory resources set at the Pod level without recreating the Pod. The In-place Pod Resize feature allows modifying resource allocations for a running Pod, avoiding application disruption. The process for resizing individual container resources is covered in Resize CPU and Memory Resources assigned to Containers. This page highlights In-place Pod-level resources resize. Pod-level resources are defined in spec.

Many applications rely on configuration which is used during either application initialization or runtime. Most times, there is a requirement to adjust values assigned to configuration parameters. ConfigMaps are a Kubernetes mechanism that let you inject configuration data into application pods. The ConfigMap concept allow you to decouple configuration artifacts from image content to keep containerized applications portable. For example, you can download and run the same container image to spin up containers for the purposes of local development, system test, or running a live end-user workload.

Before you begin Some steps in this page use the jq tool. If you don't have jq, you can install it via your operating system's software sources, or fetch it from https://jqlang.github.io/jq/. Some steps also involve installing curl, which can be installed via your operating system's software sources. A subset of the kubelet's configuration parameters may be set via an on-disk config file, as a substitute for command-line flags. Providing parameters via a config file is the recommended approach because it simplifies node deployment and configuration management.

Node Problem Detector is a daemon for monitoring and reporting about a node's health. You can run Node Problem Detector as a DaemonSet or as a standalone daemon. Node Problem Detector collects information about node problems from various daemons and reports these conditions to the API server as Node Conditions or as Events. To learn how to install and use Node Problem Detector, see Node Problem Detector project documentation.

This task shows how to scale a StatefulSet. Scaling a StatefulSet refers to increasing or decreasing the number of replicas. Before you begin StatefulSets are only available in Kubernetes version 1.5 or later. To check your version of Kubernetes, run kubectl version. Not all stateful applications scale nicely. If you are unsure about whether to scale your StatefulSets, see StatefulSet concepts or StatefulSet tutorial for further information. You should perform scaling only when you are confident that your stateful application cluster is completely healthy.