assertTrue(stats.getAverageWriteLatencyMicros() > 0, "Write latency should be positive");

        System.out.println("RDMA Statistics: " + stats);

        // Test statistics reset functionality
        stats.reset();
        assertEquals(0, stats.getRdmaReads(), "Reads should be reset to 0");
        assertEquals(0, stats.getRdmaWrites(), "Writes should be reset to 0");

 *
 * <p>The core interface used to represent caches is {@link Cache}. In-memory caches can be
 * configured and created using {@link CacheBuilder}, with cache entries being loaded by {@link
 * CacheLoader}. Statistics about cache performance are exposed using {@link CacheStats}.
 *
 * <p>See the Guava User Guide article on <a
 * href="https://github.com/google/guava/wiki/CachesExplained">caches</a>.
 *

import java.util.Locale;
import java.util.Properties;

import org.apache.maven.jline.MessageUtils;
import org.apache.maven.utils.Os;
import org.slf4j.Logger;

/**
 * Utility class used to report errors, statistics, application version info, etc.
 *
 */
@Deprecated
public final class CLIReportingUtils {
    // CHECKSTYLE_OFF: MagicNumber
    public static final long MB = 1024 * 1024;

	11, ':', 'e', 'v', 'e', 'n', 't', '-', 't', 'y', 'p', 'e', 7, 0, 5, 'S', 't', 'a', 't', 's',
}

// newStatsMessage - creates new Stats Message. S3 sends this message at the end of the request.
// It contains statistics about the query.
//
// Header specification:
// Stats messages contain three headers, as follows:
// https://docs.aws.amazon.com/AmazonS3/latest/API/images/s3select-frame-diagram-stats.png
//

func (p *scannerMetrics) lifetime(m scannerMetric) uint64 {
	if m >= scannerMetricLast {
		return 0
	}
	val := atomic.LoadUint64(&p.operations[m])
	return val
}

// lastMinute returns the last minute statistics of a metric.
// m should be < scannerMetricLastRealtime
func (p *scannerMetrics) lastMinute(m scannerMetric) AccElem {
	if m >= scannerMetricLastRealtime {
		return AccElem{}
	}
	val := p.latency[m].total()

	return storageInfo
}

// StorageInfo - returns underlying storage statistics.
func (er erasureObjects) StorageInfo(ctx context.Context) StorageInfo {
	disks := er.getDisks()
	endpoints := er.getEndpoints()
	return getStorageInfo(disks, endpoints, true)
}

// LocalStorageInfo - returns underlying local storage statistics.
func (er erasureObjects) LocalStorageInfo(ctx context.Context, metrics bool) StorageInfo {

}

// String - stringer function for interface compatibility
func (sys *HTTPConsoleLoggerSys) String() string {
	return logger.ConsoleLoggerTgt
}

// Stats returns the target statistics.
func (sys *HTTPConsoleLoggerSys) Stats() types.TargetStats {
	return types.TargetStats{
		TotalMessages:  atomic.LoadInt64(&sys.totalMessages),
		FailedMessages: atomic.LoadInt64(&sys.failedMessages),

 * total combined across the variables maintaining the sum.
 *
 * <p>This class is usually preferable to {@link AtomicLong} when multiple threads update a common
 * sum that is used for purposes such as collecting statistics, not for fine-grained synchronization
 * control. Under low update contention, the two classes have similar characteristics. But under
 * high contention, expected throughput of this class is significantly higher, at the expense of

import org.opensearch.monitor.os.OsProbe;
import org.opensearch.monitor.os.OsStats;
import org.opensearch.monitor.process.ProcessProbe;

/**
 * This class is a timer target for monitoring system-level statistics.
 * It collects and logs information about the operating system, process,
 * JVM, and search engine.
 */
public class SystemMonitorTarget extends MonitorTarget {

}

// AuditTargets returns active audit targets.
// Returned slice may not be modified in any way.
func AuditTargets() []Target {
	return auditTargets.get()
}

// CurrentStats returns the current statistics.
func CurrentStats() map[string]types.TargetStats {
	sys := SystemTargets()
	audit := AuditTargets()
	res := make(map[string]types.TargetStats, len(sys)+len(audit))
	cnt := make(map[string]int, len(sys)+len(audit))