return remote, all
}

// MonitorBandwidth - send http trace request to peer nodes
func (client *peerRESTClient) MonitorBandwidth(ctx context.Context, buckets []string) (*bandwidth.BucketBandwidthReport, error) {
	values := grid.NewURLValuesWith(map[string][]string{
		peerRESTBuckets: buckets,
	})
	return getBandwidthRPC.Call(ctx, client.gridConn(), values)
}

	t := UTCNow()
	// Add the expiration date.
	expirationStr := fmt.Sprintf(`"expiration": "%s"`, expiration.Format(iso8601TimeFormat))
	// Add the bucket condition, only accept buckets equal to the one passed.
	bucketConditionStr := fmt.Sprintf(`["eq", "$bucket", "%s"]`, bucketName)
	// Add the key condition, only accept keys equal to the one passed.

the deployment using the MinIO Console, an embedded web-based object browser built into MinIO Server. Point a web browser running on the host machine to <http://127.0.0.1:9000> and log in with the root credentials. You can use the Browser to create buckets, upload objects, and browse the contents of the MinIO server. You can also connect using any S3-compatible tool, such as the MinIO Client `mc` commandline tool. See [Test using MinIO Client `mc`](#test-using-minio-client-mc) for more information on...

Enable object lifecycle configuration on buckets to setup automatic deletion of objects after a specified number of days or a specified date.

## 1. Prerequisites

MinIO supports multiple long term users in addition to default user created during server startup. New users can be added after server starts up, and server can be configured to deny or allow access to buckets and resources to each of these users. This document explains how to add/remove users and modify their access rights.

## Get started

In this document we will explain in detail on how to configure multiple users.

		if nErr.Err != nil {
			peersLogOnceIf(logger.SetReqInfo(ctx, reqInfo), nErr.Err, nErr.Host.String())
		}
	}
}

// GetClusterAllBucketStats - returns bucket stats for all buckets from all remote peers.
func (sys *NotificationSys) GetClusterAllBucketStats(ctx context.Context) []BucketStatsMap {
	ng := WithNPeers(len(sys.peerClients)).WithRetries(1)

		return
	}
	for l.LastMin != t {
		// Clear next element.
		idx := (l.LastMin + 1) % 60
		l.Totals[idx] = AccElem{}
		l.LastMin++
	}
}

// BucketStatsMap captures bucket statistics for all buckets
type BucketStatsMap struct {
	Stats     map[string]BucketStats
	Timestamp time.Time
}

// BucketStats bucket statistics
type BucketStats struct {
	Uptime           int64                  `json:"uptime"`

	if err := listPathRaw(ctx, lopts); err != nil {
		return fmt.Errorf("listPathRaw returned %w: opts(%#v)", err, lopts)
	}

	return nil
}

// listAllBuckets lists all buckets from all disks. It also
// returns the occurrence of each buckets in all disks
func listAllBuckets(ctx context.Context, storageDisks []StorageAPI, healBuckets *xsync.MapOf[string, VolInfo], readQuorum int) error {
	g := errgroup.WithNErrs(len(storageDisks))

 * constant time operations. Expected in the hashtable sense (depends on the hash function doing a
 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>This implementation consumes significantly less memory than {@code java.util.LinkedHashSet} or

	Status                        ResyncStatusType            `json:"st" msg:"ss"`
	DeplID                        string                      `json:"dId" msg:"did"`
	BucketStatuses                map[string]ResyncStatusType `json:"buckets" msg:"bkts"`
	TotBuckets                    int                         `json:"totbuckets" msg:"tb"`
	TargetReplicationResyncStatus `json:"currSt" msg:"cst"`
}

func (s *SiteResyncStatus) clone() SiteResyncStatus {