![Example-2](https://github.com/minio/minio/blob/master/docs/screenshots/Example-2.jpg?raw=true)

## 2. Distributed Deployment

To host multiple tenants in a distributed environment, run several distributed MinIO Server instances concurrently.

### 2.1 Host Multiple Tenants on Multiple Drives (Erasure Code)

Use the following commands to host 3 tenants on a 4-node distributed configuration:

```sh
export MINIO_ROOT_USER=<TENANT1_ACCESS_KEY>

crawler1.setSessionId("session1");
crawler1.addUrl("https://site1.com");

Crawler crawler2 = container.getComponent("crawler");  
crawler2.setSessionId("session2");
crawler2.addUrl("https://site2.com");

// Execute concurrently
crawler1.setBackground(true);
crawler2.setBackground(true);

String sessionId1 = crawler1.execute();
String sessionId2 = crawler2.execute();

crawler1.awaitTermination();
crawler2.awaitTermination();

question - i.e with `mc stat --version-id dm-version-id`

It must be noted that if active-active replication is set up with delete marker replication, there is potential for duplicate delete markers to be created if both source and target concurrently set a Delete Marker or if one/both of the clusters went down at tandem before the replication event was synced.This is an unavoidable side-effect in active-active replication caused by allowing delete markers set on a object version with `REPLICA`...

	if objAPI == nil {
		return errServerNotInitialized
	}

	sys.objAPI = objAPI

	// Load bucket metadata sys.
	sys.init(ctx, buckets)
	return nil
}

// concurrently load bucket metadata to speed up loading bucket metadata.
func (sys *BucketMetadataSys) concurrentLoad(ctx context.Context, buckets []string) {
	g := errgroup.WithNErrs(len(buckets))

		// Initiate ticker after body has been read.
		ticker := time.NewTicker(time.Second * 10)
		defer ticker.Stop()

		for {
			select {
			case <-ticker.C:
				// The done() might have been called
				// concurrently, check for it before we
				// write the filler byte.
				select {
				case err := <-doneCh:
					if err != nil {
						write([]byte{1})
						write([]byte(err.Error()))
					} else {

		tmp := make([]string, len(v))
		copy(tmp, v)
		dst2[k] = tmp
	}

	return dst, dst2
}

// deleteAll will delete all on disk data for ALL caches.
// Deletes are performed concurrently.
func (b *bucketMetacache) deleteAll() {
	ctx := context.Background()

	objAPI := newObjectLayerFn()
	if objAPI == nil {
		return
	}

	ez, ok := objAPI.(deleteAllStorager)
	if !ok {

	// The time of the last scan/heal activity
	lastHealActivity time.Time

	// Holds the request-info for logging
	ctx context.Context

	// used to lock this structure as it is concurrently accessed
	mutex sync.RWMutex
}

// NewHealSequence - creates healSettings, assumes bucket and
// objPrefix are already validated.
func newHealSequence(ctx context.Context, bucket, objPrefix, clientAddr string,

The memory model is specified more formally in the next section.
</p>

<p>
A data race is defined as
a write to a memory location happening concurrently with another read or write to that same location,
unless all the accesses involved are atomic data accesses as provided by the <code>sync/atomic</code> package.

				stopFn := globalBatchJobsMetrics.trace(batchJobMetricReplication, job.ID, attempts)
				success := true
				if err := r.ReplicateFromSource(ctx, api, core, oi, retry); err != nil {
					// object must be deleted concurrently, allow these failures but do not count them
					if isErrVersionNotFound(err) || isErrObjectNotFound(err) {
						return
					}
					stopFn(oi, err)
					batchLogIf(ctx, err)
					success = false

	return writeAllMetadataWithRevert(ctx, disks, origbucket, bucket, prefix, files, quorum, true)
}

// writeUniqueFileInfo - writes unique `xl.meta` content for each disk concurrently.
func writeUniqueFileInfo(ctx context.Context, disks []StorageAPI, origbucket, bucket, prefix string, files []FileInfo, quorum int) ([]StorageAPI, error) {