- DRA: scheduling pods is up to 16x faster, depending on the scenario. Scheduling throughput depends a lot on cluster utilization. It is higher for lightly loaded clusters with free resources and gets lower when the cluster utilization increases. ([#127277](https://github.com/kubernetes/kubernetes/pull/127277), [@pohly](https://github.com/pohly)) [SIG API Machinery, Apps, Architecture, Auth, Etcd, Instrumentation, Node, Scheduling...

  - Remove redundant logging around calculating node utilization
  - Add configurable `--network` and `--rm` flags for docker in `Makefile`
  - Subtract DaemonSet pods' requests from node allocatable in the denominator while computing node utilization
  - Include taints by condition when determining if a node is unready/still starting

  - `priority_level_seat_count_watermarks` is removed.
  - `priority_level_request_count_samples` is replaced with `priority_level_request_utilization`, which samples every nanosecond rather than every millisecond; the old metric conveyed utilization despite its name.
  - `priority_level_request_count_watermarks` is removed.

  - Remove redundant logging around calculating node utilization
  - Add configurable `--network` and `--rm` flags for docker in `Makefile`
  - Subtract DaemonSet pods' requests from node allocatable in the denominator while computing node utilization
  - Include taints by condition when determining if a node is unready/still starting

- Fixed patch/update operations on multi-version custom resources ([#70087](https://github.com/kubernetes/kubernetes/pull/70087), [@liggitt](https://github.com/liggitt))
- Reduced memory utilization of admission webhook metrics by removing resource related labels. ([#69895](https://github.com/kubernetes/kubernetes/pull/69895), [@jpbetz](https://github.com/jpbetz))

   ([#123492](https://github.com/kubernetes/kubernetes/pull/123492), [@carlory](https://github.com/carlory))
- Added metric name along with the utilization information when running `kubectl get hpa`. ([#122804](https://github.com/kubernetes/kubernetes/pull/122804), [@sreeram-venkitesh](https://github.com/sreeram-venkitesh))

- Fix scoring for `NodeResourcesMostAllocated` and `NodeResourcesBalancedAllocation` plugins when nodes have containers with no requests. This was leaving to under-utilization of small nodes. ([#102925](https://github.com/kubernetes/kubernetes/pull/102925), [@alculquicondor](https://github.com/alculquicondor))

Si tienes una API que hace una cantidad comparable de cálculos cada vez y tienes muchos clientes, entonces la **utilización de CPU** probablemente *también sea estable* (en lugar de constantemente subir y bajar rápidamente).

### Ejemplos de Herramientas y Estrategias de Replicación

    * **Vue-router**.
    * **Vuetify** pour de magnifiques composants *material design*.
    * **TypeScript**.
    * Serveur Docker basé sur **Nginx** (configuré pour être facilement manipulé avec Vue-router).
    * Utilisation de *Docker multi-stage building*, pour ne pas avoir besoin de sauvegarder ou *commit* du code compilé.
    * Tests frontend exécutés à la compilation (pouvant être désactivés).

Vous devez vous assurer qu'il est unique pour chaque opération.

{* ../../docs_src/path_operation_advanced_configuration/tutorial001.py hl[6] *}

### Utilisation du nom *path operation function* comme operationId