// Performance check - should complete reasonably fast with optimized locking
            long duration = endTime - startTime;
            assertTrue(duration < 5000, "Concurrent verifies should complete within 5 seconds");
        }
    }

    @Nested
    @DisplayName("Integration Tests")
    class IntegrationTests {

	Metrics    DiskMetrics
	Error      string // carries the error over the network
}

// DiskMetrics has the information about XL Storage APIs
// the number of calls of each API and the moving average of
// the duration of each API.
type DiskMetrics struct {
	LastMinute              map[string]AccElem `json:"apiLatencies,omitempty"`
	APICalls                map[string]uint64  `json:"apiCalls,omitempty"`

// the set topology, this monitoring happens at a given monitoring interval.
func (s *erasureSets) monitorAndConnectEndpoints(ctx context.Context, monitorInterval time.Duration) {
	r := rand.New(rand.NewSource(time.Now().UnixNano()))

	time.Sleep(time.Duration(r.Float64() * float64(time.Second)))

	// Pre-emptively connect the disks if possible.
	s.connectDisks(false)

	monitor := time.NewTimer(monitorInterval)

	for index := range buckets {
		g.Go(func() error {
			// Sleep and stagger to avoid blocked CPU and thundering
			// herd upon start up sequence.
			time.Sleep(25*time.Millisecond + time.Duration(rand.Int63n(int64(100*time.Millisecond))))

			_, _ = sys.objAPI.HealBucket(ctx, buckets[index], madmin.HealOpts{Recreate: true})
			meta, err := loadBucketMetadata(ctx, sys.objAPI, buckets[index])
			if err != nil {

		return time.Now().UTC(), nil
	}
	return ntp.Time(ntpServer)
}

// Retention - bucket level retention configuration.
type Retention struct {
	Mode        RetMode
	Validity    time.Duration
	LockEnabled bool
}

// Retain - check whether given date is retainable by validity time.
func (r Retention) Retain(created time.Time) bool {
	t, err := UTCNowNTP()
	if err != nil {

            "mode": "percentage",
            "steps": [
              {
                "color": "green",
                "value": null
              }
            ]
          },
          "unit": "dtdurations"
        },
        "overrides": []
      },
      "gridPos": {
        "h": 6,
        "w": 3,
        "x": 0,
        "y": 0
      },
      "id": 1,
      "maxDataPoints": 100,

    We'd prefer a multiplatform HTTP client API that's backed by OkHttp on Android and JVM, and
    other engines on other platforms. [Ktor] does this pretty well today!

 *  Breaking: Use `kotlin.time.Duration` in APIs like `OkHttpClient.Builder.callTimeout()`. This
    update also drops support for the `DurationUnit` functions introduced in earlier alpha releases
    of OkHttp 5.

}

// MetricsGroupV2 are a group of metrics that are initialized together.
type MetricsGroupV2 struct {
	metricsCache     *cachevalue.Cache[[]MetricV2] `msg:"-"`
	cacheInterval    time.Duration
	metricsGroupOpts MetricsGroupOpts
}

// MetricsGroupOpts are a group of metrics opts to be used to initialize the metrics group.
type MetricsGroupOpts struct {
	dependGlobalObjectAPI           bool

		}
	}
	return nil
}

// BatchJobExpireFilter holds all the filters currently supported for batch replication
type BatchJobExpireFilter struct {
	line, col     int
	OlderThan     xtime.Duration      `yaml:"olderThan,omitempty" json:"olderThan"`
	CreatedBefore *time.Time          `yaml:"createdBefore,omitempty" json:"createdBefore"`
	Tags          []BatchJobKV        `yaml:"tags,omitempty" json:"tags"`

import java.net.InetAddress
import java.net.InetSocketAddress
import java.net.ProtocolException
import java.net.Proxy

/**
 * Listener for metrics events. Extend this class to monitor the quantity, size, and duration of
 * your application's HTTP calls.
 *
 * All start/connect/acquire events will eventually receive a matching end/release event, either