load, number of objects in the object store as well as storage speed. In addition, any bandwidth limits set via `mc admin bucket remote add` could also contribute to replication speed. The number of workers used for replication defaults to 100. Based on network bandwidth and system load, the number of workers used in replication can be configured using `mc admin config set alias api` to set the `replication_workers`. The prometheus metrics exposed by MinIO can be used to plan resource allocation and bandwidth...

func (opts Config) Clone() (int, time.Duration, string) {
	configMutex.RLock()
	defer configMutex.RUnlock()
	return opts.IOCount, opts.Sleep, opts.Bitrot
}

// GetWorkers returns the number of workers, -1 is none configured
func (opts Config) GetWorkers() int {
	configMutex.RLock()
	defer configMutex.RUnlock()
	return opts.DriveWorkers
}

// Update updates opts with nopts

| `minio_node_replication_average_active_workers`         | Average number of active replication workers                                                             |
| `minio_node_replication_max_active_workers`             | Maximum number of active replication workers seen since server start                                     |

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## Imagem Oficial do Docker com Gunicorn - Uvicorn

Há uma imagem oficial do Docker que inclui o Gunicorn executando com trabalhadores Uvicorn, conforme detalhado em um capítulo anterior: [Server Workers - Gunicorn com Uvicorn](server-workers.md){.internal-link target=_blank}.

			Description: "manage namespace scanning for usage calculation, lifecycle, healing and more",
		},
		config.HelpKV{
			Key:         config.BatchSubSys,
			Description: "manage batch job workers and wait times",
		},
		config.HelpKV{
			Key:         config.CompressionSubSys,
			Description: "enable server side compression of objects",
		},
		config.HelpKV{

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Active Workers",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

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import com.github.javaparser.symbolsolver.resolution.typesolvers.JavaParserTypeSolver
import com.github.javaparser.symbolsolver.resolution.typesolvers.ReflectionTypeSolver
import gradlebuild.basics.util.KotlinSourceParser
import org.gradle.workers.WorkAction
import org.jetbrains.kotlin.psi.KtCallableDeclaration
import org.jetbrains.kotlin.psi.KtFile
import org.jetbrains.kotlin.psi.KtNamedDeclaration
import org.jetbrains.kotlin.psi.psiUtil.collectDescendantsOfType

			Avg:  (savg + lavg) / float64(count),
			Curr: (lcurr + scurr) / float64(count),
			Peak: totpeak,
		}
	}
	return qs
}

// populate queue totals for node and active workers in use for metrics
func (r *ReplicationStats) getNodeQueueStatsSummary() (qs ReplQNodeStats) {
	qs.NodeName = globalLocalNodeName
	qs.Uptime = UTCNow().Unix() - globalBootTime.Unix()