Kubernetes volumes provide a way for containers in a pod to access and share data via the filesystem. There are different kinds of volume that you can use for different purposes, such as: populating a configuration file based on a ConfigMap or a Secret providing some temporary scratch space for a pod sharing a filesystem between two different containers in the same pod sharing a filesystem between two different pods (even if those Pods run on different nodes) durably storing data so that it stays available even if the Pod restarts or is replaced passing configuration information to an app running in a container, based on details of the Pod the container is in (for example: telling a sidecar container what namespace the Pod is running in) providing read-only access to data in a different container image Data sharing can be between different local processes within a container, or between different containers, or between Pods.

You can visualize and manage Kubernetes objects with more tools than kubectl and the dashboard. A common set of labels allows tools to work interoperably, describing objects in a common manner that all tools can understand. In addition to supporting tooling, the recommended labels describe applications in a way that can be queried. The metadata is organized around the concept of an application. Kubernetes is not a platform as a service (PaaS) and doesn't have or enforce a formal notion of an application.

Resources that Kubernetes provides for configuring Pods.

This page explains how to configure the kubelet's cgroup driver to match the container runtime cgroup driver for kubeadm clusters. Before you begin You should be familiar with the Kubernetes container runtime requirements. Configuring the container runtime cgroup driver The Container runtimes page explains that the systemd driver is recommended for kubeadm based setups instead of the kubelet's default cgroupfs driver, because kubeadm manages the kubelet as a systemd service.

Device plugins let you configure your cluster with support for devices or resources that require vendor-specific setup, such as GPUs, NICs, FPGAs, or non-volatile main memory.

FEATURE STATE: Kubernetes v1.29 [stable] Controlling the behavior of the Kubernetes API server in an overload situation is a key task for cluster administrators. The kube-apiserver has some controls available (i.e. the --max-requests-inflight and --max-mutating-requests-inflight command-line flags) to limit the amount of outstanding work that will be accepted, preventing a flood of inbound requests from overloading and potentially crashing the API server, but these flags are not enough to ensure that the most important requests get through in a period of high traffic.

In Kubernetes versions before v1.23, a scheduling policy can be used to specify the predicates and priorities process. For example, you can set a scheduling policy by running kube-scheduler --policy-config-file <filename> or kube-scheduler --policy-configmap <ConfigMap>. This scheduling policy is not supported since Kubernetes v1.23. Associated flags policy-config-file, policy-configmap, policy-configmap-namespace and use-legacy-policy-config are also not supported. Instead, use the Scheduler Configuration to achieve similar behavior. What's next Learn about scheduling Learn about kube-scheduler Configuration Read the kube-scheduler configuration reference (v1)

This page shows how to use the update-imported-docs.py script to generate the Kubernetes reference documentation. The script automates the build setup and generates the reference documentation for a release. Before you begin Requirements: You need a machine that is running Linux or macOS. You need to have these tools installed: Python v3.7.x+ Git Golang version 1.13+ Pip used to install PyYAML PyYAML v5.1.2 make gcc compiler/linker Docker (Required only for kubectl command reference) Your PATH environment variable must include the required build tools, such as the Go binary and python.

Resource Types CredentialProviderConfig KubeletConfiguration SerializedNodeConfigSource FormatOptions Appears in: LoggingConfiguration FormatOptions contains options for the different logging formats. FieldDescription text [Required] TextOptions [Alpha] Text contains options for logging format "text". Only available when the LoggingAlphaOptions feature gate is enabled. json [Required] JSONOptions [Alpha] JSON contains options for logging format "json". Only available when the LoggingAlphaOptions feature gate is enabled. JSONOptions Appears in: FormatOptions JSONOptions contains options for logging format "json". FieldDescription OutputRoutingOptions [Required] OutputRoutingOptions (Members of OutputRoutingOptions are embedded into this type.

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