This page covers how to customize the components that kubeadm deploys. For control plane components you can use flags in the ClusterConfiguration structure or patches per-node. For the kubelet and kube-proxy you can use KubeletConfiguration and KubeProxyConfiguration, accordingly. All of these options are possible via the kubeadm configuration API. For more details on each field in the configuration you can navigate to our API reference pages. Note:Customizing the CoreDNS deployment of kubead...| Kubernetes
Different ways to change the behavior of your Kubernetes cluster.| Kubernetes
In robotics and automation, a control loop is a non-terminating loop that regulates the state of a system. Here is one example of a control loop: a thermostat in a room. When you set the temperature, that's telling the thermostat about your desired state. The actual room temperature is the current state. The thermostat acts to bring the current state closer to the desired state, by turning equipment on or off.| Kubernetes
EKS Anywhere cluster yaml cni plugin specification reference| EKS Anywhere
Anyone who is running Kubernetes in a large-scale production setting cares about having a predictable Pod lifecycle. But there are so many ways Kubernetes terminates workloads, each one working in non-trivial (and not always predictable) ways. These...| ahmet.im
A CronJob starts one-time Jobs on a repeating schedule.| Kubernetes
For Kubernetes v1.29, you need to use additional components to integrate your Kubernetes cluster with a cloud infrastructure provider. By default, Kubernetes v1.29 components abort if you try to specify integration with any cloud provider using one of the legacy compiled-in cloud provider integrations. If you want to use a legacy integration, you have to opt back in - and a future release will remove even that option. In 2018, the Kubernetes community agreed to form the Cloud Provider Special...| Kubernetes
The EndpointSlice API is the mechanism that Kubernetes uses to let your Service scale to handle large numbers of backends, and allows the cluster to update its list of healthy backends efficiently.| Kubernetes
Production-Grade Container Orchestration| Kubernetes
A security context defines privilege and access control settings for a Pod or Container. Security context settings include, but are not limited to: Discretionary Access Control: Permission to access an object, like a file, is based on user ID (UID) and group ID (GID). Security Enhanced Linux (SELinux): Objects are assigned security labels. Running as privileged or unprivileged. Linux Capabilities: Give a process some privileges, but not all the privileges of the root user.| Kubernetes
This document describes persistent volumes in Kubernetes. Familiarity with volumes, StorageClasses and VolumeAttributesClasses is suggested. Introduction Managing storage is a distinct problem from managing compute instances. The PersistentVolume subsystem provides an API for users and administrators that abstracts details of how storage is provided from how it is consumed. To do this, we introduce two new API resources: PersistentVolume and PersistentVolumeClaim. A PersistentVolume (PV) is a...| Kubernetes
Role-based access control (RBAC) is a method of regulating access to computer or network resources based on the roles of individual users within your organization. RBAC authorization uses the rbac.authorization.k8s.io API group to drive authorization decisions, allowing you to dynamically configure policies through the Kubernetes API. To enable RBAC, start the API server with the --authorization-config flag set to a file that includes the RBAC authorizer; for example: apiVersion: apiserver.| Kubernetes
In Kubernetes, a HorizontalPodAutoscaler automatically updates a workload resource (such as a Deployment or StatefulSet), with the aim of automatically scaling the workload to match demand. Horizontal scaling means that the response to increased load is to deploy more Pods. This is different from vertical scaling, which for Kubernetes would mean assigning more resources (for example: memory or CPU) to the Pods that are already running for the workload.| Kubernetes