for _, rl := range lcCfg.Rules {
				if !rl.Expiration.IsNull() || !rl.NoncurrentVersionExpiration.IsNull() {
					expiryRuleRemoved = true
					break
				}
			}
		}

		// Form empty ILM details with `ExpiryUpdatedAt` field and save
		var cfgData []byte
		if expiryRuleRemoved {
			var lcCfg lifecycle.Lifecycle
			currtime := time.Now()
			lcCfg.ExpiryUpdatedAt = &currtime

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim space.

### Solution

				if version.IsRemote() {
					stopFn(version.Size, errors.New("ILM Tiered version will be skipped for now"))
					continue
				}

				// Apply lifecycle rules on the objects that are expired.
				if filterLifecycle(bucket, version.Name, version) {
					expired++
					stopFn(version.Size, errors.New("ILM expired object/version will be skipped"))
					continue
				}

		Name:      transitionPendingTasks,
		Help:      "Number of pending ILM transition tasks in the queue",
		Type:      gaugeMetric,
	}
}

func getTransitionActiveTasksMD() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: ilmSubsystem,
		Name:      transitionActiveTasks,
		Help:      "Number of active ILM transition tasks",
		Type:      gaugeMetric,
	}
}

		globalBucketVersioningSys = NewBucketVersioningSys()
	}

	// Create new bucket replication subsystem
	globalBucketTargetSys = NewBucketTargetSys(GlobalContext)

	// Create new ILM tier configuration subsystem
	globalTierConfigMgr = NewTierConfigMgr()

	globalTransitionState = newTransitionState(GlobalContext)
	globalSiteResyncMetrics = newSiteResyncMetrics(GlobalContext)
}

local volumes. This architecture enables multi-tenant MinIO, allowing isolation of data between customers.

MinIO also supports multi-cluster, multi-site federation similar to AWS regions and tiers. Using MinIO Information Lifecycle Management (ILM), you can configure data to be tiered between NVMe based hot storage, and HDD based warm storage. All data is encrypted with per-object key. Access Control and Identity Management between the tenants are managed by MinIO using OpenID Connect or Kerberos/LDAP/AD....

			loi.NextMarker = last.Name
		}

		if loi.IsTruncated && merged.lastSkippedEntry > loi.NextMarker {
			// An object hidden by ILM was found during a truncated listing. Since the number of entries
			// fetched from drives is limited by max-keys, we should use the last ILM filtered entry
			// as a continuation token if it is lexially higher than the last visible object so that the

			if !meta.Deleted && meta.Size != 0 {
				fmt.Fprintf(h, "%v+%v", meta.Erasure.DataBlocks, meta.Erasure.ParityBlocks)
				fmt.Fprintf(h, "%v", meta.Erasure.Distribution)
			}

			if meta.IsRemote() {
				// ILM transition fields
				fmt.Fprint(h, meta.TransitionStatus)
				fmt.Fprint(h, meta.TransitionTier)
				fmt.Fprint(h, meta.TransitionedObjName)
				fmt.Fprint(h, meta.TransitionVersionID)
			}

type metaCacheEntriesSorted struct {
	o metaCacheEntries
	// list id is not serialized
	listID string
	// Reuse buffers
	reuse bool
	// Contain the last skipped object after an ILM expiry evaluation
	lastSkippedEntry string
}

// shallowClone will create a shallow clone of the array objects,
// but object metadata will not be cloned.

	if serverDebugLog {
		console.Debugln(data...)
	}
}

// gatherResults will collect all results on the input channel and filter results according
// to the options or to the current bucket ILM expiry rules.
// Caller should close the channel when done.
// The returned function will return the results once there is enough or input is closed,
// or the context is canceled.