// Make sure to sleep at least a second to avoid high CPU ticks.
			time.Second)
		time.Sleep(duration)
	}
}

// load resync metrics saved on disk into memory
func (sm *siteResyncMetrics) load(ctx context.Context, objAPI ObjectLayer) error {
	if objAPI == nil {
		return errServerNotInitialized
	}
	info, err := globalSiteReplicationSys.GetClusterInfo(ctx)
	if err != nil {

	return len(sys.metadataMap)
}

// Remove bucket metadata from memory.
func (sys *BucketMetadataSys) Remove(buckets ...string) {
	sys.Lock()
	for _, bucket := range buckets {
		sys.group.Forget(bucket)
		delete(sys.metadataMap, bucket)
		globalBucketMonitor.DeleteBucket(bucket)
	}
	sys.Unlock()
}

// RemoveStaleBuckets removes all stale buckets in memory that are not on disk.

podAnnotations: {}

# Additional pod labels
podLabels: {}

## Configure resource requests and limits
## ref: http://kubernetes.io/docs/user-guide/compute-resources/
##
resources:
  requests:
    memory: 16Gi

## List of policies to be created after minio install
##
## In addition to default policies [readonly|readwrite|writeonly|consoleAdmin|diagnostics]

	processResidentMemoryBytesMD      = NewGaugeMD(processResidentMemoryBytes, "Resident memory size in bytes")
	processVirtualMemoryBytesMD       = NewGaugeMD(processVirtualMemoryBytes, "Virtual memory size in bytes")
	processVirtualMemoryMaxBytesMD    = NewGaugeMD(processVirtualMemoryMaxBytes, "Maximum virtual memory size in bytes")
)

func loadProcStatMetrics(ctx context.Context, stat procfs.ProcStat, m MetricValues) {

 * class to read a response that is larger than the entire memory allocated to the current process.
 * It can even stream a response larger than the total storage on the current device, which is a
 * common requirement for video streaming applications.
 *
 * Because this class does not buffer the full response in memory, the application may not

          "build-cache",
          "flow-services",
          "input-tracking",
          "internal-integ-testing",
          "model-core",
          "persistent-cache",
          "process-memory-services",
          "scala",
          "snapshots",
          "testing-base-infrastructure"
        ],
        "parallelizationMethod": {
          "name": "TestDistribution"
        }
      },

/**
 * A pluggable service for processing model objects during model building.
 *
 * <p>This service allows implementations to:</p>
 * <ul>
 *   <li>Pool identical objects to reduce memory footprint</li>
 *   <li>Intern objects for faster equality comparisons</li>
 *   <li>Apply custom optimization strategies</li>
 *   <li>Transform or modify objects during building</li>
 * </ul>
 *

* You don't have to use `File()` in the default value of the parameter.
* It uses a "spooled" file:
    * A file stored in memory up to a maximum size limit, and after passing this limit it will be stored in disk.
* This means that it will work well for large files like images, videos, large binaries, etc. without consuming all the memory.
* You can get metadata from the uploaded file.

* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

## Memory { #memory }

If you run **a single process per container** you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

- Reduced server startup time. For IAM encryption with the root credentials, MinIO had
   to use a memory-hard function (Argon2) that (on purpose) consumes a lot of memory and CPU.
   The new KMS-based approach can use a key derivation function that is orders of magnitudes
   cheaper w.r.t. memory and CPU.
- Root credentials can now be changed easily. Before, a two-step process was required to