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 ...| Kubernetes
Synopsis The kubelet is the primary "node agent" that runs on each node. It can register the node with the apiserver using one of: the hostname; a flag to override the hostname; or specific logic for a cloud provider. The kubelet works in terms of a PodSpec. A PodSpec is a YAML or JSON object that describes a pod. The kubelet takes a set of PodSpecs that are provided through various mechanisms (primarily through the apiserver) and ensures that the containers described in those PodSpecs are ru...| Kubernetes
Windows applications constitute a large portion of the services and applications that run in many organizations. Windows containers provide a way to encapsulate processes and package dependencies, making it easier to use DevOps practices and follow cloud native patterns for Windows applications. Organizations with investments in Windows-based applications and Linux-based applications don't have to look for separate orchestrators to manage their workloads, leading to increased operational effi...| Kubernetes
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.| Kubernetes
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 LoggingAlphaOpti...| Kubernetes
Kubernetes runs your workload by placing containers into Pods to run on Nodes. A node may be a virtual or physical machine, depending on the cluster. Each node is managed by the control plane and contains the services necessary to run Pods. Typically you have several nodes in a cluster; in a learning or resource-limited environment, you might have only one node. The components on a node include the kubelet, a container runtime, and the kube-proxy.| Kubernetes
_Topology Aware Routing_ provides a mechanism to help keep network traffic within the zone where it originated. Preferring same-zone traffic between Pods in your cluster can help with reliability, performance (network latency and throughput), or cost.| Kubernetes
Node-pressure eviction is the process by which the kubelet proactively terminates pods to reclaim resources on nodes. FEATURE STATE: Kubernetes v1.31 [beta] (enabled by default: true) Note:The split image filesystem feature, which enables support for the containerfs filesystem, adds several new eviction signals, thresholds and metrics. To use containerfs, the Kubernetes release v1.32 requires the KubeletSeparateDiskGC feature gate to be enabled. Currently, only CRI-O (v1.29 or higher) offers ...| Kubernetes
There are two ways to expose Pod and container fields to a running container: environment variables, and as files that are populated by a special volume type. Together, these two ways of exposing Pod and container fields are called the downward API.| Kubernetes
When you specify a Pod, you can optionally specify how much of each resource a container needs. The most common resources to specify are CPU and memory (RAM); there are others. When you specify the resource request for containers in a Pod, the kube-scheduler uses this information to decide which node to place the Pod on. When you specify a resource limit for a container, the kubelet enforces those limits so that the running container is not allowed to use more of that resource than the limit ...| Kubernetes