This page shows how to run a replicated stateful application using a StatefulSet. This application is a replicated MySQL database. The example topology has a single primary server and multiple replicas, using asynchronous row-based replication. Note:This is not a production configuration. MySQL settings remain on insecure defaults to keep the focus on general patterns for running stateful applications in Kubernetes. 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 a Pod can use a downwardAPI volume, to expose information about itself to containers running in the Pod. A downwardAPI volume can expose Pod fields and container fields. In Kubernetes, there are two ways to expose Pod and container fields to a running container: Environment variables Volume files, as explained in this task Together, these two ways of exposing Pod and container fields are called the downward API.

Finalizers are namespaced keys that tell Kubernetes to wait until specific conditions are met before it fully deletes resources that are marked for deletion. Finalizers alert controllers to clean up resources the deleted object owned. When you tell Kubernetes to delete an object that has finalizers specified for it, the Kubernetes API marks the object for deletion by populating .metadata.deletionTimestamp, and returns a 202 status code (HTTP "Accepted"). The target object remains in a terminating state while the control plane, or other components, take the actions defined by the finalizers.

What's Kompose? It's a conversion tool for all things compose (namely Docker Compose) to container orchestrators (Kubernetes or OpenShift). More information can be found on the Kompose website at https://kompose.io/. 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.

Before you begin You must use a kubectl version that is within one minor version difference of your cluster. For example, a v1.35 client can communicate with v1.34, v1.35, and v1.36 control planes. Using the latest compatible version of kubectl helps avoid unforeseen issues. Install kubectl on macOS The following methods exist for installing kubectl on macOS: Install kubectl on macOS Install kubectl binary with curl on macOS Install with Homebrew on macOS Install with Macports on macOS Verify kubectl configuration Optional kubectl configurations and plugins Enable shell autocompletion Install kubectl convert plugin Install kubectl binary with curl on macOS Download the latest release:

This page shows how to configure liveness, readiness and startup probes for containers. For more information about probes, see Liveness, Readiness and Startup Probes The kubelet uses liveness probes to know when to restart a container. For example, liveness probes could catch a deadlock, where an application is running, but unable to make progress. Restarting a container in such a state can help to make the application more available despite bugs.

FEATURE STATE: Kubernetes v1.35 [stable](enabled by default) This page shows you how to configure dynamic resource allocation (DRA) in a Kubernetes cluster by enabling API groups and configuring classes of devices. These instructions are for cluster administrators. About DRA A Kubernetes feature that lets you request and share resources among Pods. These resources are often attached devices like hardware accelerators. With DRA, device drivers and cluster admins define device classes that are available to claim in workloads.

FEATURE STATE: Kubernetes v1.35 [beta](enabled by default) This page shows how to configure a pod using image volumes. This allows you to mount content from OCI registries inside containers. 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 v1.35 [stable](enabled by default) This tutorial shows you how to install Dynamic Resource Allocation (DRA) drivers in your cluster and how to use them in conjunction with the DRA APIs to allocate devices to Pods. This page is intended for cluster administrators. Dynamic Resource Allocation (DRA) lets a cluster manage availability and allocation of hardware resources to satisfy Pod-based claims for hardware requirements and preferences. To support this, a mixture of Kubernetes built-in components (like the Kubernetes scheduler, kubelet, and kube-controller-manager) and third-party drivers from device owners (called DRA drivers) share the responsibility to advertise, allocate, prepare, mount, healthcheck, unprepare, and cleanup resources throughout the Pod lifecycle.

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