ttfbDistribution    = "seconds_distribution"
	ttlbDistribution    = "ttlb_seconds_distribution"

	lastActivityTime = "last_activity_nano_seconds"
	startTime        = "starttime_seconds"
	upTime           = "uptime_seconds"
	memory           = "resident_memory_bytes"
	vmemory          = "virtual_memory_bytes"
	cpu              = "cpu_total_seconds"

    //      last modified: 105 seconds ago
    //             served:   5 seconds ago
    //   default lifetime: (105 - 5) / 10 = 10 seconds
    //            expires:  10 seconds from served date = 5 seconds from now
    server.enqueue(
      MockResponse.Builder()
        .addHeader("Last-Modified: " + formatDate(-105, TimeUnit.SECONDS))
        .addHeader("Date: " + formatDate(-5, TimeUnit.SECONDS))

// to fail with a ten seconds timeout, returning nil.
func getClusterMetaInfo(ctx context.Context) []byte {
	objectAPI := newObjectLayerFn()
	if objectAPI == nil {
		return nil
	}

	// Add a ten seconds timeout because getting profiling data
	// is critical for debugging, in contrary to getting cluster info
	ctx, cancel := context.WithTimeout(ctx, 10*time.Second)
	defer cancel()

import static java.util.concurrent.Executors.newSingleThreadScheduledExecutor;
import static java.util.concurrent.TimeUnit.MILLISECONDS;
import static java.util.concurrent.TimeUnit.NANOSECONDS;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.base.Function;

        createCacheBuilder().expireAfterWrite(99999, SECONDS),
        createCacheBuilder()
            .maximumSize(SMALL_MAX_SIZE)
            .expireAfterAccess(SMALL_MAX_SIZE, TimeUnit.SECONDS),
        createCacheBuilder()
            .maximumSize(SMALL_MAX_SIZE)
            .expireAfterWrite(SMALL_MAX_SIZE, TimeUnit.SECONDS));
  }

        createCacheBuilder().expireAfterWrite(99999, SECONDS),
        createCacheBuilder()
            .maximumSize(SMALL_MAX_SIZE)
            .expireAfterAccess(SMALL_MAX_SIZE, TimeUnit.SECONDS),
        createCacheBuilder()
            .maximumSize(SMALL_MAX_SIZE)
            .expireAfterWrite(SMALL_MAX_SIZE, TimeUnit.SECONDS));
  }

import static java.util.concurrent.Executors.newSingleThreadScheduledExecutor;
import static java.util.concurrent.TimeUnit.MILLISECONDS;
import static java.util.concurrent.TimeUnit.NANOSECONDS;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.base.Function;

          "expr": "(histogram_quantile(0.50, sum(irate(istio_request_duration_milliseconds_bucket{reporter=~\"$qrep\",destination_service=~\"$service\"}[1m])) by (le)) / 1000) or histogram_quantile(0.50, sum(irate(istio_request_duration_seconds_bucket{reporter=~\"$qrep\",destination_service=~\"$service\"}[1m])) by (le))",
          "format": "time_series",
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "P50",

          "format": "time_series",
          "interval": "",
          "intervalFactor": 1,

- A new kubelet metric `image_pull_duration_seconds` was added. The metric tracks the duration (in seconds) it takes for an image to be pulled, including the time spent in the waiting queue of image puller. The metric is broken down by bucketed image size. ([#121719](https://github.com/kubernetes/kubernetes/pull/121719), [@...