This page shows how to assign a Kubernetes Pod to a particular node using Node Affinity in a Kubernetes 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:

This page shows how to run an application using a Kubernetes Deployment object. Objectives Create an nginx deployment. Use kubectl to list information about the deployment. Update the deployment. 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.

Kubernetes has various types of probes: Liveness probe Readiness probe Startup probe Liveness probe Liveness probes determine when to restart a container. For example, liveness probes could catch a deadlock when an application is running but unable to make progress. If a container fails its liveness probe repeatedly, the kubelet restarts the container. Liveness probes do not wait for readiness probes to succeed. If you want to wait before executing a liveness probe, you can either define initialDelaySeconds or use a startup probe.

Ways to provide both long-term and temporary storage to Pods in your cluster.

API-initiated eviction is the process by which you use the Eviction API to create an Eviction object that triggers graceful pod termination. You can request eviction by calling the Eviction API directly, or programmatically using a client of the API server, like the kubectl drain command. This creates an Eviction object, which causes the API server to terminate the Pod. API-initiated evictions respect your configured PodDisruptionBudgets and terminationGracePeriodSeconds. Using the API to create an Eviction object for a Pod is like performing a policy-controlled DELETE operation on the Pod.

A ConfigMap is an API object used to store non-confidential data in key-value pairs. Pods can consume ConfigMaps as environment variables, command-line arguments, or as configuration files in a volume. A ConfigMap allows you to decouple environment-specific configuration from your container images, so that your applications are easily portable. Caution:ConfigMap does not provide secrecy or encryption. If the data you want to store are confidential, use a Secret rather than a ConfigMap, or use additional (third party) tools to keep your data private.

FEATURE STATE: Kubernetes v1.24 [stable] When you run a Pod on a Node, the Pod itself takes an amount of system resources. These resources are additional to the resources needed to run the container(s) inside the Pod. In Kubernetes, Pod Overhead is a way to account for the resources consumed by the Pod infrastructure on top of the container requests & limits. In Kubernetes, the Pod's overhead is set at admission time according to the overhead associated with the Pod's RuntimeClass.

Your workload can discover Services within your cluster using DNS; this page explains how that works.

In order to support latency-critical and high-throughput workloads, Kubernetes offers a suite of Resource Managers. The managers aim to co-ordinate and optimise the alignment of node's resources for pods configured with a specific requirement for CPUs, devices, and memory (hugepages) resources. Hardware topology alignment policies Topology Manager is a kubelet component that aims to coordinate the set of components that are responsible for these optimizations. The overall resource management process is governed using the policy you specify.

FEATURE STATE: Kubernetes v1.20 [stable] Kubernetes allow you to limit the number of process IDs (PIDs) that a Pod can use. You can also reserve a number of allocatable PIDs for each node for use by the operating system and daemons (rather than by Pods). Process IDs (PIDs) are a fundamental resource on nodes. It is trivial to hit the task limit without hitting any other resource limits, which can then cause instability to a host machine.