Gateway API is a family of API kinds that provide dynamic infrastructure provisioning and advanced traffic routing.

Kubernetes is a portable, extensible, open source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes services, support, and tools are widely available.

Kubernetes objects are persistent entities in the Kubernetes system. Kubernetes uses these entities to represent the state of your cluster. Learn about the Kubernetes object model and how to work with these objects.

This page introduces Quality of Service (QoS) classes in Kubernetes, and explains how Kubernetes assigns a QoS class to each Pod as a consequence of the resource constraints that you specify for the containers in that Pod. Kubernetes relies on this classification to make decisions about which Pods to evict when there are not enough available resources on a Node. Quality of Service classes Kubernetes classifies the Pods that you run and allocates each Pod into a specific quality of service (QoS) class.

A time-to-live mechanism to clean up old Jobs that have finished execution.

Field selectors let you select Kubernetes objects based on the value of one or more resource fields. Here are some examples of field selector queries: metadata.name=my-service metadata.namespace!=default status.phase=Pending This kubectl command selects all Pods for which the value of the status.phase field is Running: kubectl get pods --field-selector status.phase=Running Note: Field selectors are essentially resource filters. By default, no selectors/filters are applied, meaning that all resources of the specified type are selected.

Make your HTTP (or HTTPS) network service available using a protocol-aware configuration mechanism, that understands web concepts like URIs, hostnames, paths, and more. The Ingress concept lets you map traffic to different backends based on rules you define via the Kubernetes API.

Node-pressure eviction is the process by which the kubelet proactively terminates pods to reclaim resources on nodes. The kubelet monitors resources like memory, disk space, and filesystem inodes on your cluster's nodes. When one or more of these resources reach specific consumption levels, the kubelet can proactively fail one or more pods on the node to reclaim resources and prevent starvation. During a node-pressure eviction, the kubelet sets the phase for the selected pods to Failed, and terminates the Pod.

FEATURE STATE: Kubernetes v1.26 [alpha] Dynamic resource allocation is an API for requesting and sharing resources between pods and containers inside a pod. It is a generalization of the persistent volumes API for generic resources. Third-party resource drivers are responsible for tracking and allocating resources, with additional support provided by Kubernetes via structured parameters (introduced in Kubernetes 1.30). When a driver uses structured parameters, Kubernetes handles scheduling and resource allocation without having to communicate with the driver.

Concepts for keeping your cloud-native workload secure.