"expr": "sum by (server) (minio_node_replication_last_minute_queued_count{job=\"$scrape_jobs\"})",
          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{bucket}}",
          "refId": "A"
        }
      ],
      "title": "Last Minute Queued Objects",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",

import org.opensearch.search.SearchHit;
import org.opensearch.search.SearchHits;
import org.opensearch.search.aggregations.AggregationBuilders;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.opensearch.search.collapse.CollapseBuilder;
import org.opensearch.search.fetch.subphase.highlight.HighlightBuilder;

    for (int i = 0; i < originalCount; i++) {
      Object key = new Object();
      Object value = new Object();
      int hash = map.hash(key);
      // chain all entries together as we only have a single bucket
      entry = map.newEntry(key, hash, entry);
      ValueReference<Object, Object> valueRef = map.newValueReference(entry, value, 1);
      entry.setValueReference(valueRef);
    }
    segment.table.set(0, entry);

    for (int i = 0; i < originalCount; i++) {
      Object key = new Object();
      Object value = new Object();
      int hash = map.hash(key);
      // chain all entries together as we only have a single bucket
      entry = map.newEntry(key, hash, entry);
      ValueReference<Object, Object> valueRef = map.newValueReference(entry, value, 1);
      entry.setValueReference(valueRef);
    }
    segment.table.set(0, entry);

labels.notification_search_top	=	Rechercher en haut de la page
labels.storage_endpoint	=	Point final
labels.storage_access_key	=	Clef d'accès
labels.storage_secret_key	=	Clef secrète
labels.storage_bucket	=	Bucket
labels.send_testmail	=	Envoyer un email de test
labels.backup_configuration	=	Sauvegarde
labels.backup_name	=	Nom
labels.backup_bulk_file	=	Fichier en lot
labels.backup_button_upload	=	Télécharger

func (p *xlStorageDiskIDCheck) ReadMultiple(ctx context.Context, req ReadMultipleReq, resp chan<- ReadMultipleResp) (err error) {
	ctx, done, err := p.TrackDiskHealth(ctx, storageMetricReadMultiple, req.Bucket, req.Prefix)
	if err != nil {
		xioutil.SafeClose(resp)
		return err
	}
	defer done(0, &err)

	return p.storage.ReadMultiple(ctx, req, resp)
}

- Fix the `cloudprovider_azure_api_request_duration_seconds` metric buckets to correctly capture the latency metrics. Previously, the majority of the calls would fall in the "+Inf" bucket. ([#95375](https://github.com/kubernetes/kubernetes/pull/95375), [@marwanad](https://github.com/marwanad)) [SIG Cloud Provider and Instrumentation]

   * the segment.
   */
  final int segmentMask;

  /**
   * Shift value for indexing within segments. Helps prevent entries that end up in the same segment
   * from also ending up in the same bucket.
   */
  final int segmentShift;

  /** The segments, each of which is a specialized hash table. */
  final Segment<K, V>[] segments;

  /** The concurrency level. */
  final int concurrencyLevel;

	"io"
	"math/rand"
	"os"
	"reflect"
	"sort"
	"testing"
	"time"

	"github.com/google/uuid"
	"github.com/klauspost/compress/zip"
	"github.com/klauspost/compress/zstd"
	"github.com/minio/minio/internal/bucket/lifecycle"
	xhttp "github.com/minio/minio/internal/http"
)

func TestReadXLMetaNoData(t *testing.T) {
	f, err := os.Open("testdata/xl.meta-corrupt.gz")
	if err != nil {
		t.Fatal(err)
	}
	defer f.Close()

- Fix the `cloudprovider_azure_api_request_duration_seconds` metric buckets to correctly capture the latency metrics. Previously, the majority of the calls would fall in the "+Inf" bucket. ([#94873](https://github.com/kubernetes/kubernetes/pull/94873), [@marwanad](https://github.com/marwanad)) [SIG Cloud Provider and Instrumentation]