- The iptables mode of kube-proxy now tracks accepted packets that are destined for node-ports on localhost by introducing `kubeproxy_iptables_localhost_nodeports_accepted_packets_total` metric.

 *   <li>Supports both internal session operations and client-provided trace information</li>
 * </ul>
 *
 * <p>For internal session operations, the trace typically contains {@code *Request} objects
 * that represent the current processing state. Client code can also create traces with
 * application-specific data to provide context when invoking session methods.</p>
 *
 * <p>This trace information is particularly useful for:</p>
 * <ul>

three features to beta in the 1.10 release.  First, [CPU Manager](https://kubernetes.io/docs/tasks/administer-cluster/cpu-management-policies/), which allows users to request exclusive CPU cores.  This helps performance in a variety of use-cases, including network latency sensitive applications, as well as applications that benefit from CPU cache residency.  Next, [Huge Pages](https://kubernetes.io/docs/tasks/manage-hugepages/scheduling-hugepages/), which allows pods to consume either 2Mi or 1Gi Huge...

  - `resourceclaim_controller_creates_total` count metric with labels `admin_access` (true or false), `status` (failure or success) to track the total number of `ResourceClaims` creation requests

ThirdPartyResource to CustomResourceDefinition](https://kubernetes.io/docs/tasks/access-kubernetes-api/migrate-third-party-resource/).

* [beta] User-provided apiservers can be aggregated (served along with) the rest of the Kubernetes API. See [Extending the Kubernetes API with the aggregation layer](https://kubernetes.io/docs/concepts/api-extension/apiserver-aggregation/), [Configure the aggregation layer](https://kubernetes.io/docs/tasks/access-kubernetes-api/configure-aggregation-layer/), and [Setup...

mitigate the risk in this scenario is to sandbox the model execution.

### Hardware attacks

Physical GPUs or TPUs can also be the target of attacks. [Published
research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have

# Hintergrundtasks { #background-tasks }

Sie können <abbr title="Hintergrund-Aufgaben">Hintergrundtasks</abbr> definieren, die *nach* der Rückgabe einer <abbr title="Response – Antwort: Daten, die der Server zum anfragenden Client zurücksendet">Response</abbr> ausgeführt werden sollen.

# Tareas en Segundo Plano { #background-tasks }

Puedes definir tareas en segundo plano para que se ejecuten *después* de devolver un response.

Esto es útil para operaciones que necesitan ocurrir después de un request, pero para las que el cliente realmente no necesita esperar a que la operación termine antes de recibir el response.

Esto incluye, por ejemplo:

* Notificaciones por email enviadas después de realizar una acción:

import jakarta.annotation.PostConstruct;
import jakarta.annotation.PreDestroy;

/**
 * Helper class for managing crawler statistics and performance metrics.
 * This class provides functionality to track, record, and report statistics
 * about crawler operations including timing data, performance metrics, and
 * operational events. It uses an internal cache to maintain statistics

- A new kubelet metric `image_pull_duration_seconds` was added. The metric tracks the duration (in seconds) it takes for an image to be pulled, including the time spent in the waiting queue of image puller. The metric is broken down by bucketed image size. ([#121719](https://github.com/kubernetes/kubernetes/pull/121719), [@rui...