* factor, and concurrency settings.
   */
  public static <E> ConcurrentHashMultiset<E> create() {
    return create(new ConcurrentHashMap<>());
  }

  /**
   * Creates a new {@code ConcurrentHashMultiset} containing the specified elements, using the
   * default initial capacity, load factor, and concurrency settings.
   *

                    builder.setCredentials(credentials);
                } catch (final IOException e) {
                    throw new StorageException("Failed to load GCS credentials from " + credentialsPath, e);
                }
            }
            // If no credentials path, uses default credentials (GOOGLE_APPLICATION_CREDENTIALS env var)
        }

 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>As compared with {@link java.util.LinkedHashMap}, this structure places significantly reduced
 * load on the garbage collector by only using a constant number of internal objects.
 *
 * <p>This class should not be assumed to be universally superior to {@code

		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	w.Header().Set(xhttp.ContentType, string(mimeJSON))

	enc := json.NewEncoder(w)
	stats := globalReplicationStats.Load().getLatestReplicationStats(bucket)
	bwRpt := globalNotificationSys.GetBandwidthReports(ctx, bucket)
	bwMap := bwRpt.BucketStats
	for arn, st := range stats.ReplicationStats.Stats {
		for opts, bw := range bwMap {

are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform distribution.

- In this algorithm, we also make sure that we spread the drives out evenly. MinIO server expands ellipses passed as arguments. Here is a sample expansion to demonstrate the...

Prometheus sets the `Host` header to `domain:port` as part of HTTP operations against the MinIO metrics endpoint. For MinIO deployments behind a load balancer, reverse proxy, or other control plane (HAProxy, nginx, pfsense, opnsense, etc.), ensure the network service supports routing these requests to the deployment.

### 6. Configure Grafana

     * @return the secret key, or null if not found
     */
    public SecretKey getSessionKey(String sessionId) {
        checkNotClosed();

        SecretKey key = sessionKeys.get(sessionId);

        // Try to load from KeyStore if not in memory
        if (key == null && keyStore != null) {
            try {
                KeyStore.ProtectionParameter protection = new KeyStore.PasswordProtection(keyStorePassword);

      Class<?> cls;
      try {
        cls = classInfo.load();
      } catch (NoClassDefFoundError e) {
        // In case there were linking problems, this is probably not a class we care to test anyway.
        logger.log(Level.SEVERE, "Cannot load class " + classInfo + ", skipping...", e);
        continue;
      }
      if (!cls.isInterface()) {

	case size >= fi.Erasure.BlockSize || size == -1:
		if int64(globalBytePoolCap.Load().Width()) < fi.Erasure.BlockSize {
			buffer = make([]byte, fi.Erasure.BlockSize, 2*fi.Erasure.BlockSize)
		} else {
			buffer = globalBytePoolCap.Load().Get()
			defer globalBytePoolCap.Load().Put(buffer)
		}
	case size < fi.Erasure.BlockSize:

        this.lineData = this.lineDataToElements(options.lineData || []);
        this.loadLines()
        if (!options.noInit) this.init()
    }

    loadLines() {
        // Load all the lines and create the container so that the size is fixed
        // Otherwise it would be changing and the user viewport would be constantly
        // moving as she/he scrolls
        const finish = this.generateFinish()