MOVD $2147483649, R5            // 6405800060a50001 or 0600800038a00001
	// Hex constant 0xFFFFFFFF80000001
	MOVD $-2147483647, R5           // 3ca0800060a50001 or 0603800038a00001
	// Hex constant 0xFFFFFFFE00000002 (load of constant on < power10, pli on >= power10
	MOVD $-8589934590, R5           // 3ca00000e8a50000 or 0602000038a00002

	// For backwards compatibility, MOVW $const,Rx and MOVWZ $const,Rx assemble identically

	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._parent.find(this._overlay).remove()\n    $(this._element).trigger($.Event(EVENT_OVERLAY_REMOVED))\n  }\n\n  // Private\n\n  _init() {\n    $(this).find(this._settings.trigger).on('click', () => {\n      this.load()\n    })\n\n    if (this._settings.loadOnInit) {\n      this.load()\n    }\n  }\n\n  // Static\n\n  static _jQueryInterface(config) {\n    let data = $(this).data(DATA_KEY)\n    const _options = $.extend({}, Default, $(this).data())\n\n    if (!data) {\n      data = new CardRefresh($(this),...

./mc admin replicate add minio1 minio2 --insecure
# sleep for replication to complete
sleep 30

# Create bucket in source cluster
echo "Create bucket in source MinIO instance"
./mc mb minio1/test-bucket --insecure

# Load objects to source site
echo "Loading objects to source MinIO instance"
set -x
./mc cp /tmp/data/plainfile minio1/test-bucket --insecure

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

      },
      minterm: 1,
      adjustWidthVal: 11,
      searchForm: $("#searchForm")
    });
  }

  loadImage = function(img, url, limit) {
    var imgData = new Image();
    $(imgData).on("load", function() {
      $(img).css("background-image", "");
      $(img).attr("src", url);
    });
    $(imgData).on("error", function() {
      if (limit > 0) {
        setTimeout(function() {

		return nil
	}

	dataUsageInfo, err := c.dataUsageInfo.Get()
	if err != nil {
		metricsLogIf(ctx, err)
		return nil
	}

	bucketReplStats := globalReplicationStats.Load().getAllLatest(dataUsageInfo.BucketsUsage)
	for _, bucket := range buckets {
		if s, ok := bucketReplStats[bucket]; ok {
			stats := s.ReplicationStats
			if stats.hasReplicationUsage() {

		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 {

### Server Memory { #server-memory }

For example, if your code loads a Machine Learning model with **1 GB in size**, when you run one process with your API, it will consume at least 1 GB of RAM. And if you start **4 processes** (4 workers), each will consume 1 GB of RAM. So in total, your API will consume **4 GB of RAM**.

And if your remote server or virtual machine only has 3 GB of RAM, trying to load more than 4 GB of RAM will cause problems. 🚨

			}

			httpStats := globalBucketHTTPStats.load(bucket)
			for k, v := range httpStats.currentS3Requests.Load(true) {
				metrics = append(metrics, MetricV2{
					Description:    getBucketS3RequestsInFlightMD(),
					Value:          float64(v),
					VariableLabels: map[string]string{"bucket": bucket, "api": k},
				})
			}

			for k, v := range httpStats.totalS3Requests.Load(true) {
				metrics = append(metrics, MetricV2{