globalBucketMetadataSys = NewBucketMetadataSys()
	} else {
		// Reinitialize safely when testing.
		globalBucketMetadataSys.Reset()
	}

	// Create the bucket bandwidth monitor
	globalBucketMonitor = bandwidth.NewMonitor(ctx, uint64(totalNodeCount()))

	// Create a new config system.
	globalConfigSys = NewConfigSys()

	// Create new IAM system.
	globalIAMSys = NewIAMSys()

Do *not* use the MinIO Grid for:

* Large payloads.

Only a single connection is ever made between two servers.
Likely this means that this connection will not be able to saturate network bandwidth.
Therefore, using this for large payloads will likely be slower than using a separate connection,
and other connections will be blocked while the large payload is being sent.

## Handlers & Routes

	"encoding/gob"
	"encoding/hex"
	"encoding/json"
	"errors"
	"fmt"
	"io"
	"net/url"
	"strconv"
	"sync/atomic"
	"time"

	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio/internal/bucket/bandwidth"
	"github.com/minio/minio/internal/grid"
	xhttp "github.com/minio/minio/internal/http"
	"github.com/minio/minio/internal/logger"
	"github.com/minio/minio/internal/rest"
	xnet "github.com/minio/pkg/v3/net"
)

			Host:       globalLocalNodeName,
		})
		return
	}

	var headerSize int
	for k, v := range putOpts.Header() {
		headerSize += len(k) + len(v)
	}

	opts := &bandwidth.MonitorReaderOptions{
		BucketOptions: bandwidth.BucketOptions{
			Name:           ri.Bucket,
			ReplicationARN: tgt.ARN,
		},
		HeaderSize: headerSize,
	}
	newCtx := ctx

}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *rateMeasurement) updateExponentialMovingAverage(endTime time.Time) {
	// Calculate aggregate avg bandwidth and exp window avg
	m.lock.Lock()
	defer func() {
		m.startTime = endTime
		m.lock.Unlock()
	}()

	if m.startTime.IsZero() {
		return
	}

	if endTime.Before(m.startTime) {
		return
	}

	return nil
}

func (sys *BucketTargetSys) updateBandwidthLimit(bucket, arn string, limit int64) {
	if limit == 0 {
		globalBucketMonitor.DeleteBucketThrottle(bucket, arn)
		return
	}
	// Setup bandwidth throttling

	globalBucketMonitor.SetBandwidthLimit(bucket, arn, limit)
}

// RemoveTarget - removes a remote bucket target for this source bucket.

In that case, it could be better to have only 2 servers and use a higher percentage of their resources (CPU, memory, disk, network bandwidth, etc).

import okio.Path
import okio.Path.Companion.toOkioPath
import okio.Sink
import okio.Source
import okio.buffer

/**
 * Caches HTTP and HTTPS responses to the filesystem so they may be reused, saving time and
 * bandwidth.
 *
 * The Cache instance must have exclusive access to the [directory], since the internal data structures
 * may cause corruption or runtime errors if not. It may however be shared amongst multiple OkHttpClient
 * instances.

The Gradle cache does not allow the local cache to hide problems and create other mysterious and difficult to debug behavior.
Gradle enables reliable and reproducible enterprise builds with a focus on bandwidth and storage efficiency.

[[sub:cache_metadata]]
=== Separate metadata cache

Gradle keeps a record of various aspects of dependency resolution in binary format in the metadata cache.

making compression the default for everyone starting with this release candidate.

Please be considerate of your servers and their operators as you roll out this release. Compression
saves bandwidth but it costs CPU and memory! If you run into a problem you may need to adjust or
disable the `permessage-deflate` compression settings on your server.