Uno de esos sistemas de gestión de contenedores distribuidos como Kubernetes normalmente tiene alguna forma integrada de manejar la **replicación de contenedores** mientras aún soporta el **load balancing** para las requests entrantes. Todo a nivel de **cluster**.

    // Statistics
    private final AtomicLong totalRequests = new AtomicLong(0);
    private final AtomicLong totalChannelsCreated = new AtomicLong(0);

    /**
     * Load balancing strategies for distributing operations across channels.
     */
    public enum LoadBalancingStrategy {
        /** Round-robin distribution */
        ROUND_ROBIN,
        /** Least connections */

One of those distributed container management systems like Kubernetes normally has some integrated way of handling **replication of containers** while still supporting **load balancing** for the incoming requests. All at the **cluster level**.

Diese verteilten Containerverwaltungssysteme wie Kubernetes verfügen normalerweise über eine integrierte Möglichkeit, die **Replikation von Containern** zu handhaben und gleichzeitig **Load Balancing** für die eingehenden Requests zu unterstützen. Alles auf **Cluster-Ebene**.

    /**
     * Channel binding policy: -1=not set, 0=disabled, 1=preferred, 2=required
     */
    protected int channelBindingPolicy = -1; // -1=not set, 0=disabled, 1=preferred, 2=required
    /**
     * Load balancing strategy for distributing operations across channels
     */
    protected String loadBalancingStrategy;
    /**
     * Interval in milliseconds for checking channel health
     */

        if (duration == 0) return 0;
        return (bytesSent.get() + bytesReceived.get()) * 1000 / duration;
    }
    
    public int getScore() {
        // Calculate channel score for load balancing
        int score = 100;
        
        // Adjust based on state
        if (state == ChannelState.ACTIVE) score -= 20;  // Busy channel

     */
    public PersistentHandleManager getPersistentHandleManager() {
        return persistentHandleManager;
    }

    /**
     * Select transport for the given message using multi-channel load balancing
     *
     * @param message message to send
     * @return selected transport
     */
    public SmbTransportImpl selectTransport(CommonServerMessageBlockRequest message) {
        if (isUseMultiChannel()) {

     * concurrently, returning once any connection connects successfully.
     *
     * This implements Happy Eyeballs ([RFC 6555][rfc_6555]), balancing connect latency vs.
     * wasted resources.
     *
     * Defaults to enabled, call with [fastFallback] = false to revert to 4.x behaviour.
     *
     * [rfc_6555]: https://datatracker.ietf.org/doc/html/rfc6555

  - [Changes to Addons](#changes-to-addons)
    - [Dashboard](#dashboard)
    - [DNS](#dns)
    - [DNS Autoscaler](#dns-autoscaler)
    - [Cluster Autoscaler](#cluster-autoscaler-1)
    - [Cluster Load Balancing](#cluster-load-balancing)
    - [etcd Empty Dir Cleanup](#etcd-empty-dir-cleanup)
    - [Fluentd](#fluentd)
    - [Heapster](#heapster)
    - [Registry](#registry)

### SIG Network

The main milestones for SIG Network this release are the graduation of IPVS-based load balancing and CoreDNS to general availability.

IPVS is an alternative approach to in-cluster load balancing that uses in-kernel hash tables rather than the previous iptables approach, while CoreDNS is a replacement for kube-dns for service discovery.

### SIG Node