In Kubernetes, Services are an abstract way to expose an application running on a set of Pods. Services can have a cluster-scoped virtual IP address (using a Service of type: ClusterIP). Clients can connect using that virtual IP address, and Kubernetes then load-balances traffic to that Service across the different backing Pods. How Service ClusterIPs are allocated? When Kubernetes needs to assign a virtual IP address for a Service, that assignment happens one of two ways:

FEATURE STATE: Kubernetes v1.27 [stable] An increasing number of systems leverage a combination of CPUs and hardware accelerators to support latency-critical execution and high-throughput parallel computation. These include workloads in fields such as telecommunications, scientific computing, machine learning, financial services and data analytics. Such hybrid systems comprise a high performance environment. In order to extract the best performance, optimizations related to CPU isolation, memory and device locality are required. However, in Kubernetes, these optimizations are handled by a disjoint set of components.

This document helps you get started using the Kubernetes NetworkPolicy API to declare network policies that govern how pods communicate with each other. Note: This section links to third party projects that provide functionality required by Kubernetes. The Kubernetes project authors aren't responsible for these projects, which are listed alphabetically. To add a project to this list, read the content guide before submitting a change. More information. Before you begin You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster.

This page shows how to delete Pods which are part of a stateful set, and explains the considerations to keep in mind when doing so. Before you begin This is a fairly advanced task and has the potential to violate some of the properties inherent to StatefulSet. Before proceeding, make yourself familiar with the considerations enumerated below. StatefulSet considerations In normal operation of a StatefulSet, there is never a need to force delete a StatefulSet Pod.

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.

This page explains how to debug Pods running (or crashing) on a Node. Before you begin Your Pod should already be scheduled and running. If your Pod is not yet running, start with Debugging Pods. For some of the advanced debugging steps you need to know on which Node the Pod is running and have shell access to run commands on that Node. You don't need that access to run the standard debug steps that use kubectl.

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:

This task shows you how to delete a StatefulSet. Before you begin This task assumes you have an application running on your cluster represented by a StatefulSet. Deleting a StatefulSet You can delete a StatefulSet in the same way you delete other resources in Kubernetes: use the kubectl delete command, and specify the StatefulSet either by file or by name. kubectl delete -f <file.yaml> kubectl delete statefulsets <statefulset-name> You may need to delete the associated headless service separately after the StatefulSet itself is deleted.

FEATURE STATE: Kubernetes v1.31 [stable] (enabled by default: true) This document shows you how to use the Pod failure policy, in combination with the default Pod backoff failure policy, to improve the control over the handling of container- or Pod-level failure within a Job. The definition of Pod failure policy may help you to: better utilize the computational resources by avoiding unnecessary Pod retries. avoid Job failures due to Pod disruptions (such preemption, API-initiated eviction or taint-based eviction).

Namespaces can be labeled to enforce the Pod Security Standards. The three policies privileged, baseline and restricted broadly cover the security spectrum and are implemented by the Pod Security admission controller. Before you begin Pod Security Admission was available by default in Kubernetes v1.23, as a beta. From version 1.25 onwards, Pod Security Admission is generally available. To check the version, enter kubectl version. Requiring the baseline Pod Security Standard with namespace labels This manifest defines a Namespace my-baseline-namespace that: