* 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

			// 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 {

	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) {

package cmd

import (
	"errors"
	"io"

	sse "github.com/minio/minio/internal/bucket/encryption"
)

// BucketSSEConfigSys - in-memory cache of bucket encryption config
type BucketSSEConfigSys struct{}

// NewBucketSSEConfigSys - Creates an empty in-memory bucket encryption configuration cache
func NewBucketSSEConfigSys() *BucketSSEConfigSys {
	return &BucketSSEConfigSys{}
}

* 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).

 * {@link MemoryDataHelper} to store and manage the URL patterns in memory.
 *
 */
public class UrlFilterServiceImpl implements UrlFilterService {

    /**
     * Creates a new UrlFilterServiceImpl instance.
     */
    public UrlFilterServiceImpl() {
        // NOP
    }

    /**
     * The memory data helper.
     */
    @Resource
    protected MemoryDataHelper dataHelper;

    /*

#   request - Cache only for current request + its child requests
#   none    - Disable caching entirely
#
# REFERENCE OPTIONS:
#   hard - Strong reference (stays in memory, faster access)
#   soft - Weak reference (can be garbage collected under memory pressure)
#
# CONFIGURATION BREAKDOWN:
#   SourceCacheKey                   - File and RAW model requests (session/hard for consistent file access)

- 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

/**
 * 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>
 *