But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

- If BoundServiceAccountTokenVolume is enabled, cluster admins can use metric `serviceaccount_stale_tokens_total` to monitor workloads that are depending on the extended tokens. If there are no such workloads, turn off extended tokens by starting `kube-apiserver` with flag `--service-account-extend-token-expiration=false` ([#96273](https://github.com/kubernetes/kubernetes/pull/96273), [@zshihang](https://github.com/zshihang))...

A security issue was discovered in Kubernetes that could allow  Windows workloads to run as `ContainerAdministrator` even when those workloads set the `runAsNonRoot` option to `true `.

This issue has been rated low and assigned CVE-2021-25749

### Am I vulnerable?

All Kubernetes clusters with following versions, running Windows workloads with `runAsNonRoot` are impacted

#### Affected Versions

/// info

If you are using Kubernetes, this would probably be an <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Init Container</a>.

///

    - [**Network**](#network-2)
    - [**Storage**](#storage-2)
    - [**Scheduling**](#scheduling-1)
    - [**Node**](#node-2)
  - [Notable Changes](#notable-changes)
    - [**Workloads API (apps/v1)**](#workloads-api-appsv1)
    - [**API Machinery**](#api-machinery-3)
      - [**Admission Control**](#admission-control)
      - [**API & API server**](#api-&-api-server)
      - [**Audit**](#audit)

Sie können aber auch die Vorteile von Parallelität und Multiprocessing (Mehrere Prozesse werden parallel ausgeführt) für **CPU-lastige** Workloads wie in Systemen für maschinelles Lernen nutzen.

/// info | "Информация"

При использовании Kubernetes, это может быть <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Инициализирующий контейнер</a>.

///

/// info

Se você estiver usando o Kubernetes, provavelmente será um <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Init Container</a>.

///

/// info

Wenn Sie Kubernetes verwenden, wäre dies wahrscheinlich ein <a href="https://kubernetes.io/docs/concepts/workloads/pods/init-containers/" class="external-link" target="_blank">Init-Container</a>.

///

alpha) for allocating dynamic resources to Pods.
  
  if and only if classic DRA was enabled in a cluster, remove all workloads (pods, app deployments, etc. ) which depend on classic DRA and make sure that all PodSchedulingContext resources are gone before upgrading. PodSchedulingContext resources cannot be removed through the apiserver after an upgrade and workloads would not work properly. ([#128003](https://github.com/kubernetes/kubernetes/pull/128003), [@pohly](https://github.com/pohly))...