replicationRecentBacklogCount      = "recent_backlog_count"
)

var (
	replicationAverageActiveWorkersMD = NewGaugeMD(replicationAverageActiveWorkers,
		"Average number of active replication workers")
	replicationAverageQueuedBytesMD = NewGaugeMD(replicationAverageQueuedBytes,
		"Average number of bytes queued for replication since server start")
	replicationAverageQueuedCountMD = NewGaugeMD(replicationAverageQueuedCount,

		"Invalid value for replication workers",
		"",
		"MINIO_API_REPLICATION_WORKERS: should be > 0",
	)

	ErrInvalidTransitionWorkersValue = newErrFn(
		"Invalid value for transition workers",
		"",
		"MINIO_API_TRANSITION_WORKERS: should be >= GOMAXPROCS/2",
	)
	ErrInvalidBatchKeyRotationWorkersWait = newErrFn(
		"Invalid value for batch key rotation workers wait",
		"Please input a non-negative duration",

		workers = workers[:len(workers)-1]
		worker <- expiryOp(nil)
		es.stats.workers.Add(-1)
	}
	// Atomically replace workers.
	es.workers.Store(&workers)
}

// Worker handles 4 types of expiration tasks.
// 1. Expiry of objects, includes regular and transitioned objects
// 2. Expiry of noncurrent versions due to NewerNoncurrentVersions

And if you need to have multiple workers, you can simply use the `--workers` command line option.

/// note | Technical Details

The Docker image was created when Uvicorn didn't support managing and restarting dead workers, so it was needed to use Gunicorn with Uvicorn, which added quite some complexity, just to have Gunicorn manage and restart the Uvicorn worker processes.

					"problems-api",
					"plugins-java-base",
					"build-cache"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"workers",
					"wrapper-main",
					"testing-base-infrastructure",
					"messaging",
					"war",
					"instrumentation-agent-services",
					"build-profile",
					"resources-gcs",
					"ear",

	if (checkOld > 0 && len(p.workers) != checkOld) || n == len(p.workers) || n < 1 {
		// Either already satisfied or worker count changed while we waited for the lock.
		return
	}
	for len(p.workers) < n {
		input := make(chan ReplicationWorkerOperation, 10000)
		p.workers = append(p.workers, input)

		go p.AddWorker(input, &p.activeWorkers)
	}
	for len(p.workers) > n {
		worker := p.workers[len(p.workers)-1]

		// If the channel reaches above half capacity
		// we spawn more workers. The workers spawned
		// from this main worker routine will exit
		// once the channel drops below half capacity
		// and when it's been at least 30 seconds since
		// we launched a new worker.
		if mainWorker && len(h.logCh) > cap(h.logCh)/2 {
			nWorkers := h.workers.Load()
			if nWorkers < h.maxWorkers {
				if time.Since(h.lastStarted).Milliseconds() > 10 {

replication_priority            (string)    set replication priority (default: 'auto')
replication_max_workers         (number)    set the maximum number of replication workers (default: '500')
transition_workers              (number)    set the number of transition workers (default: '100')
stale_uploads_expiry            (duration)  set to expire stale multipart uploads older than this values (default: '24h')

	current     []jstream.KVS   // current block of results to be returned
	recordsRead int             // number of records read in current slice
	input       chan *queueItem // input for workers
	queue       chan *queueItem // output from workers in order
	err         error           // global error state, only touched by Reader.Read
	bufferPool  sync.Pool       // pool of []byte objects for input

        val gradleStep = CompileAll(buildModel, buildModel.stages[0]).steps.getGradleStep(GRADLE_RUNNER_STEP_NAME)
        assertEquals(
            listOf(
                "-Dorg.gradle.workers.max=%maxParallelForks%",
                "-PmaxParallelForks=%maxParallelForks%",
                "-Dorg.gradle.internal.plugins.portal.url.override=%gradle.plugins.portal.url%",
                "-s",