Kubernetes v1.37: Metrics API graduates to stable

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Kubernetes v1.37 promotes the metrics.k8s.io API to stable (v1). This API provides CPU and memory usage for nodes and Pods, and is the API behind commands such as kubectl top and resource-metrics-based autoscaling. For cluster operators and application developers, this graduation means that the API now has the stability guarantees associated with a Kubernetes stable API. The v1 API has the same resource types and fields as v1beta1; this is an API-version graduation, not a change to the metrics that are collected or returned. A long-lived API reaches stableThe resource Metrics API was introduced as alpha in Kubernetes v1.6 and became beta in v1.8. It has remained unchanged and has been used in production for years by clients including the HorizontalPodAutoscaler (HPA) and kubectl top. Kubernetes v1.37 formally graduates that proven API to metrics.k8s.io/v1. The API exposes two resource types:

NodeMetrics, for CPU and memory usage for a node. PodMetrics, for CPU and memory usage for a Pod, with a per-container breakdown in its containers field.

The API remains intentionally small. It provides the resource metrics needed for autoscaling and basic inspection; it is not a replacement for a full monitoring pipeline or the custom metrics (custom.metrics.k8s.io) API. What changed with the v1.37 release?The v1 API surface is identical to v1beta1, except for the API version. There are no renamed fields, new fields, or changes to the meaning of the returned CPU and memory values. For example, a client can retrieve node metrics from the stable endpoint: kubectl get --raw …

Vollständiger Originalartikel ↗

• Betroffenheit im eigenen Stack prüfen: Versionen/Komponenten abgleichen.
• Originalquelle / Hersteller-Advisory lesen: https://kubernetes.io/blog/2026/08/27/kubernetes-v1-37-metrics-api-ga/
• Verfügbaren Patch oder Workaround einspielen und dokumentieren.