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"

				continue
			}

			if h.batchSize > 1 {
				// If we are doing batching, we should wait
				// at least one second before sending.
				// Even if there is nothing in the queue.
				if time.Since(lastBatchProcess).Seconds() < 1 {
					continue
				}
			}
		}

		lastBatchProcess = time.Now()

	retry:
		// If the channel reaches above half capacity

    OkHttpClient.Builder()
      .connectTimeout(5, TimeUnit.SECONDS)
      .writeTimeout(5, TimeUnit.SECONDS)
      .readTimeout(5, TimeUnit.SECONDS)
      .callTimeout(10, TimeUnit.SECONDS)
      .build()

  fun run() {
    val request =
      Request.Builder()
        .url("http://httpbin.org/delay/2") // This URL is served with a 2 second delay.
        .build()

		memCache:          "Cache memory on the node",
		memAvailable:      "Available memory on the node",
		readsPerSec:       "Reads per second on a drive",
		writesPerSec:      "Writes per second on a drive",
		readsKBPerSec:     "Kilobytes read per second on a drive",
		writesKBPerSec:    "Kilobytes written per second on a drive",
		readsAwait:        "Average time for read requests to be served on a drive",

  //   * increase no more than 4 pods per 60 seconds
  //   * double the number of pods per 60 seconds
  // No stabilization is used.
  // +optional
  optional HPAScalingRules scaleUp = 1;

  // scaleDown is scaling policy for scaling Down.
  // If not set, the default value is to allow to scale down to minReplicas pods, with a
  // 300 second stabilization window (i.e., the highest recommendation for

    blockingCallable.waitForStart();

    // Give the second task a chance to (incorrectly) start up while the first task is running.
    assertThat(future2.isDone()).isFalse();

    // Stop the first task. The second task should then run.
    blockingCallable.stop();
    executor.shutdown();
    assertThat(executor.awaitTermination(10, TimeUnit.SECONDS)).isTrue();
    assertThat(getDone(future2)).isFalse();
  }

    blockingCallable.waitForStart();

    // Give the second task a chance to (incorrectly) start up while the first task is running.
    assertThat(future2.isDone()).isFalse();

    // Stop the first task. The second task should then run.
    blockingCallable.stop();
    executor.shutdown();
    assertThat(executor.awaitTermination(10, TimeUnit.SECONDS)).isTrue();
    assertThat(getDone(future2)).isFalse();
  }

      return;
    }
    long timeoutSeconds = timeoutSeconds();
    long deadline = System.nanoTime() + SECONDS.toNanos(timeoutSeconds);
    do {
      System.runFinalization();
      if (future.isDone()) {
        return;
      }
      System.gc();
      try {
        future.get(1L, SECONDS);
        return;
      } catch (CancellationException | ExecutionException ok) {
        return;

		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance",
			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api"},
	)
	bucketHTTPRequestsDuration = prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",

| `start_time_seconds`          | `gauge`   | Start time for MinIO process in seconds since Unix epoc                                                        | `server` |
| `uptime_seconds`              | `gauge`   | Uptime for MinIO process in seconds                                                                            | `server` |