- Custom resource requests with fieldValidation=Strict consistently require apiVersion and kind, matching non-strict requests ([#109019](https://github.com/kubernetes/kubernetes/pull/109019), [@liggitt](https://github.com/liggitt)) [SIG API Machinery]

* Fix resync goroutine leak in ListAndWatch ([#35672](https://github.com/kubernetes/kubernetes/pull/35672), [@tatsuhiro-t](https://github.com/tatsuhiro-t))
* Kubelet will no longer set hairpin mode on every interface on the machine when an error occurs in setting up hairpin for a specific interface. ([#36990](https://github.com/kubernetes/kubernetes/pull/36990), [@bboreham](https://github.com/bboreham))

Linux-Container werden mit demselben Linux-Kernel des Hosts (Maschine, virtuellen Maschine, Cloud-Servers, usw.) ausgeführt. Das bedeutet einfach, dass sie sehr leichtgewichtig sind (im Vergleich zu vollständigen virtuellen Maschinen, die ein gesamtes Betriebssystem emulieren).

Auf diese Weise verbrauchen Container **wenig Ressourcen**, eine Menge vergleichbar mit der direkten Ausführung der Prozesse (eine virtuelle Maschine würde viel mehr verbrauchen).

        `InvalidArgumentError,` as documented.
    *   Update Getting Started docs and API intro.
*   Google Cloud Storage (GCS):
    *   Add userspace DNS caching for the GCS client.
    *   Customize request timeouts for the GCS filesystem.
    *   Improve GCS filesystem caching.
*   Bug Fixes:
    *   Fix bug where partitioned integer variables got their wrong shapes.
        Before

- **Exception Handling** (`org.codelibs.core.exception`) - Runtime exception wrappers for common checked exceptions with consistent error handling

### Modern Java 21 Support
- **Pattern Matching** - Leverages modern Java pattern matching for efficient type checking and conversion
- **Switch Expressions** - Optimized implementations using switch expressions for better performance

import jakarta.annotation.PostConstruct;

/**
 * Helper class for managing popular words and suggestions.
 * Provides functionality to retrieve popular words based on search parameters
 * and manages caching for improved performance.
 */
public class PopularWordHelper {
    /** Logger instance for this class */
    private static final Logger logger = LogManager.getLogger(PopularWordHelper.class);

public class Smb2LeaseState {

    /**
     * No lease caching
     */
    public static final int SMB2_LEASE_NONE = 0x00;

    /**
     * Read caching lease (R)
     */
    public static final int SMB2_LEASE_READ_CACHING = 0x01;

    /**
     * Handle caching lease (H)
     */
    public static final int SMB2_LEASE_HANDLE_CACHING = 0x02;

    /**
     * Write caching lease (W)
     */

  - [Urgent Upgrade Notes](#urgent-upgrade-notes)
    - [(No, really, you MUST do this before you upgrade)](#no-really-you-must-do-this-before-you-upgrade)
  - [Major Themes](#major-themes)
    - [SIG API Machinery](#sig-api-machinery)
    - [SIG Auth](#sig-auth)
    - [SIG CLI](#sig-cli)
    - [SIG Cluster Lifecycle](#sig-cluster-lifecycle)
    - [SIG Instrumentation](#sig-instrumentation)
    - [SIG Network](#sig-network)

## Caso de uso

Vamos iniciar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.

Vamos imaginar que você tem alguns **modelos de _machine learning_** que deseja usar para lidar com as requisições. 🤖

        this.localTimeZone = TimeZone.getDefault();
        this.random = new SecureRandom();

        if (this.machineId == null) {
            final byte[] mid = new byte[32];
            this.random.nextBytes(mid);
            this.machineId = mid;
        }

        if (this.nativeOs == null) {
            this.nativeOs = System.getProperty("os.name");
        }