- Azure virtual machine scale sets (VMSS) allow you to create and manage identical load balanced VMs that automatically increase or decrease based on demand or a set schedule.

- Scheduler bugfix: Scheduler doesn't lose pod information when nodes are quickly recreated. This could happen when nodes are restarted or quickly recreated reusing a nodename. ([#93964](https://github.com/kubernetes/kubernetes/pull/93964), [@alculquicondor](https://github.com/alculquicondor)) [SIG Scheduling and Testing]

   * prohibit duplicates, and storing a key-value pair that's already in the multimap has no effect.
   *
   * @return {@code true} if the method increased the size of the multimap, or {@code false} if the
   *     multimap already contained the key-value pair and doesn't allow duplicates
   */
  @CanIgnoreReturnValue

    @Test
    public void testToString() {
        ByteBuffer bb = ByteBuffer.wrap(testBuffer).order(ByteOrder.LITTLE_ENDIAN);

        bb.putShort((short) 3);
        bb.putShort((short) 200); // increased size
        bb.putShort((short) 1);
        bb.putShort((short) 0); // rflags without name list flag
        bb.putShort((short) 10);
        bb.putShort((short) 600);
        bb.putShort((short) 22); // pathOffset

    // Rate limiting
    private final Map<String, AtomicLong> rateLimitCounters = new ConcurrentHashMap<>();
    private volatile long rateLimitWindow = 60000; // 1 minute
    private volatile int maxEventsPerWindow = 10000; // Increased for tests

    /**
     * Security event types
     */
    public enum EventType {

incorrect module name given to GCMWithCounterNonce") } counter -= g.start // Ensure the counter is monotonically increasing. if counter == math.MaxUint64 { panic("crypto/cipher: counter wrapped") } if counter < g.next { panic("crypto/cipher: counter decreased") } g.next = counter + 1 fips140.RecordApproved() return g.g.sealAfterIndicator(dst, nonce, plaintext, data) } func (g *GCMWithCounterNonce) Open(dst, nonce, ciphertext, data []byte) ([]byte, error) { fips140.RecordApproved() return g.g.Open(dst,...

 * guarantees.
 *
 * <p>This class should not be assumed to be universally superior to {@code java.util.HashMap}.
 * Generally speaking, this class reduces object allocation and memory consumption at the price of
 * moderately increased constant factors of CPU. Only use this class when there is a specific reason
 * to prioritize memory over CPU.
 *
 * @author Louis Wasserman
 * @author Jon Noack
 */
@GwtIncompatible // not worth using in GWT for now

   * E} is an {@link Enum} type, use {@link EnumSet#noneOf} instead. Otherwise, strongly consider
   * using a {@code LinkedHashSet} instead, at the cost of increased memory footprint, to get
   * deterministic iteration behavior.
   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated. Instead,

# Multi-Channel Feature - Detailed Design Document

## 1. Overview

SMB3 Multi-Channel enables the use of multiple network connections between client and server, providing increased throughput, network fault tolerance, and automatic failover capabilities. This feature aggregates bandwidth across multiple NICs and provides seamless failover when network paths fail.

## 2. Protocol Specification Reference

 * worst case time complexity of O(N^2). You are extremely unlikely to hit this quadratic case on
 * randomly ordered data (the probability decreases faster than exponentially in N), but if you are
 * passing in unsanitized user data then a malicious user could force it. A light shuffle of the
 * data using an unpredictable seed should normally be enough to thwart this attack.