static final int DEFAULT_SIZE = 3;

  /**
   * Minimum size of the hash table of a compact hash-based collection. Because small hash tables
   * use a byte[], any smaller size uses the same amount of memory due to object padding.
   */
  private static final int MIN_HASH_TABLE_SIZE = 4;

  private static final int BYTE_MAX_SIZE = 1 << Byte.SIZE; // 2^8 = 256

        try {
            // Force release the handle with null checks
            if (this.usageCount != null) {
                this.usageCount.set(0);
            }

            // Clear references to prevent memory leaks
            try {
                if (this.treeConnection != null) {
                    // Release the tree connection if possible
                    log.debug("Releasing tree connection during emergency cleanup");

	if err != nil && !errors.Is(err, errConfigNotFound) {
		return err
	}

	z.rebalMu.Lock()
	defer z.rebalMu.Unlock()

	// if not found, we store the memory metadata back
	// when rebalance status changed, will notify all nodes update status to memory, we can treat the memory metadata is the latest status
	if errors.Is(err, errConfigNotFound) {
		r = z.rebalMeta
	}

	switch opts {
	case rebalSaveStoppedAt:

 * highest valued character that requires escaping. For example a replacement map containing the
 * single character '{@code \}{@code u1000}' will require approximately 16K of memory. If you need
 * to create multiple escaper instances that have the same character replacement mapping consider
 * using {@link ArrayBasedEscaperMap}.
 *
 * @author Sven Mawson
 * @author David Beaumont
 * @since 15.0

### 프로세스당 메모리 { #memory-per-process }

이제 프로그램이 메모리에 무언가를 로드한다고 해봅시다. 예를 들어 머신러닝 모델을 변수에 올리거나 큰 파일 내용을 변수에 올리는 경우입니다. 이런 것들은 서버의 **메모리(RAM)**를 어느 정도 사용합니다.

그리고 여러 프로세스는 보통 **메모리를 공유하지 않습니다**. 즉, 각 실행 중인 프로세스는 자체 변수와 메모리를 갖습니다. 코드에서 메모리를 많이 사용한다면, **각 프로세스**가 그만큼의 메모리를 사용하게 됩니다.

### 서버 메모리 { #server-memory }

 * concurrently.
 */
class Dispatcher() {
  /**
   * The maximum number of requests to execute concurrently. Above this requests queue in memory,
   * waiting for the running calls to complete.
   *
   * If more than [maxRequests] requests are in flight when this is invoked, those requests will
   * remain in flight.
   */
  @get:Synchronized

            }
            return true; // Signature verification succeeded
        } finally {
            this.signingLock.unlock();
        }
    }

    /**
     * Securely wipe signing key from memory
     */
    public void secureWipeKey() {
        this.signingLock.lock();
        try {
            if (this.signingKey != null) {
                java.util.Arrays.fill(this.signingKey, (byte) 0);

This is the basic idea. But you will probably want to take care of some additional things, like:

* Security - HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

	systemNetworkInternodeCollectorPath collectorPath = "/system/network/internode"
	systemDriveCollectorPath            collectorPath = "/system/drive"
	systemMemoryCollectorPath           collectorPath = "/system/memory"
	systemCPUCollectorPath              collectorPath = "/system/cpu"
	systemProcessCollectorPath          collectorPath = "/system/process"

	debugGoCollectorPath collectorPath = "/debug/go"

* Sécurité - HTTPS
* Exécution au démarrage
* Redémarrages
* Réplication (le nombre de processus en cours d'exécution)
* Mémoire
* Étapes précédant le démarrage