| `minio_cluster_usage_buckets_versions_count`                    | Total object versions count in bucket, including delete markers. <br><br>Type: gauge | `bucket`          |
| `minio_cluster_usage_buckets_delete_markers_count`              | Total delete markers count in bucket. <br><br>Type: gauge                            | `bucket`          |

TF_CAPI_EXPORT extern TFE_ContextDevicePlacementPolicy
TFE_ContextGetDevicePlacementPolicy(TFE_Context* ctx);

// A tensorflow.ServerDef specifies remote workers (in addition to the current
// workers name). Operations created in this context can then be executed on
// any of these remote workers by setting an appropriate device.
//
// If the following is set, all servers identified by the
// ServerDef must be up when the context is created.

	oi, ok := oiCache[fmt.Sprintf("%s-%s", toDel.ObjectName, toDel.VersionID)]
	return oi, ok
}

func batchObjsForDelete(ctx context.Context, r *BatchJobExpire, ri *batchJobInfo, job BatchJobRequest, api ObjectLayer, wk *workers.Workers, expireCh <-chan []expireObjInfo) {
	vc, _ := globalBucketVersioningSys.Get(r.Bucket)
	retryAttempts := job.Expire.Retry.Attempts
	if retryAttempts <= 0 {
		retryAttempts = batchExpireJobDefaultRetries
	}

	es := newExpiryState(context.Background(), objAPI, 0)
	workers := []chan expiryOp{make(chan expiryOp)}
	es.workers.Store(&workers)
	globalExpiryState = es
	var wg sync.WaitGroup
	wg.Add(1)
	expired := make([]ObjectToDelete, 0, 5)
	go func() {
		defer wg.Done()
		workers := globalExpiryState.workers.Load()
		for t := range (*workers)[0] {
			if t, ok := t.(newerNoncurrentTask); ok {

| `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                                     |

}

func newHealRoutine() *healRoutine {
	workers := runtime.GOMAXPROCS(0) / 2

	if envHealWorkers := env.Get("_MINIO_HEAL_WORKERS", ""); envHealWorkers != "" {
		if numHealers, err := strconv.Atoi(envHealWorkers); err != nil {
			bugLogIf(context.Background(), fmt.Errorf("invalid _MINIO_HEAL_WORKERS value: %w", err))
		} else {
			workers = numHealers
		}
	}

	if workers == 0 {
		workers = 4
	}

	es.mu.Lock()
	defer es.mu.Unlock()
	var workers []chan expiryOp
	if v := es.workers.Load(); v != nil {
		// Copy to new array.
		workers = append(workers, *v...)
	}

	if n == len(workers) || n < 1 {
		return
	}

	for len(workers) < n {
		input := make(chan expiryOp, 10000)
		workers = append(workers, input)
		go es.Worker(input)
		es.stats.workers.Add(1)
	}

	for len(workers) > n {

	transitionWorkers = "transition_workers"
	expirationWorkers = "expiration_workers"
	// EnvILMTransitionWorkers env variable to configure number of transition workers
	EnvILMTransitionWorkers = "MINIO_ILM_TRANSITION_WORKERS"
	// EnvILMExpirationWorkers env variable to configure number of expiration workers
	EnvILMExpirationWorkers = "MINIO_ILM_EXPIRATION_WORKERS"
)

var (
	defaultHelpPostfix = func(key string) string {

		"Total cluster objects count")
	usageVersionsCountMD = NewGaugeMD(usageVersionsCount,
		"Total cluster object versions (including delete markers) count")
	usageDeleteMarkersCountMD = NewGaugeMD(usageDeleteMarkersCount,
		"Total cluster delete markers count")
	usageBucketsCountMD = NewGaugeMD(usageBucketsCount,
		"Total cluster buckets count")
	usageObjectsDistributionMD = NewGaugeMD(usageSizeDistribution,

	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,