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

Jobs represent one-off tasks that run to completion and then stop.

A DaemonSet defines Pods that provide node-local facilities. These might be fundamental to the operation of your cluster, such as a networking helper tool, or be part of an add-on.

An overview of the Pod Security Admission Controller, which can enforce the Pod Security Standards.

Application logs can help you understand what is happening inside your application. The logs are particularly useful for debugging problems and monitoring cluster activity. Most modern applications have some kind of logging mechanism. Likewise, container engines are designed to support logging. The easiest and most adopted logging method for containerized applications is writing to standard output and standard error streams. However, the native functionality provided by a container engine or runtime is usually not enough for a complete logging solution.

kube-state-metrics, an add-on agent to generate and expose cluster-level metrics.

Principles and practices for good Secret management for cluster administrators and application developers.

Before you begin You must use a kubectl version that is within one minor version difference of your cluster. For example, a v1.30 client can communicate with v1.29, v1.30, and v1.31 control planes. Using the latest compatible version of kubectl helps avoid unforeseen issues. Install kubectl on Windows The following methods exist for installing kubectl on Windows: Install kubectl binary with curl on Windows Install on Windows using Chocolatey, Scoop, or winget Install kubectl binary with curl on Windows Download the latest 1.

FEATURE STATE: Kubernetes v1.14 [beta] kube-scheduler is the Kubernetes default scheduler. It is responsible for placement of Pods on Nodes in a cluster. Nodes in a cluster that meet the scheduling requirements of a Pod are called feasible Nodes for the Pod. The scheduler finds feasible Nodes for a Pod and then runs a set of functions to score the feasible Nodes, picking a Node with the highest score among the feasible ones to run the Pod.

Set up Kubernetes tools on your computer.