select {
			case <-dctx.Done():
				if !timeout.Stop() {
					<-timeout.C
				}
			case <-timeout.C:
				spent := time.Since(started)
				goOffline(fmt.Errorf("unable to write+read for %v", spent.Round(time.Millisecond)), spent)
			}
		}()

		func() {
			defer dcancel()

			err := p.storage.WriteAll(ctx, minioMetaTmpBucket, fn, toWrite)
			if err != nil {

    return (totalLoadCount == 0) ? 0.0 : (double) loadExceptionCount / totalLoadCount;
  }

  /**
   * Returns the total number of nanoseconds the cache has spent loading new values. This can be
   * used to calculate the miss penalty. This value is increased every time {@code loadSuccessCount}
   * or {@code loadExceptionCount} is incremented.
   */

=====================

OkHttp 4.x upgrades our implementation language from Java to Kotlin and keeps everything else the
same. We’ve chosen Kotlin because it gives us powerful new capabilities while integrating closely
with Java.

We spent a lot of time and energy on retaining strict compatibility with OkHttp 3.x. We’re even
keeping the package name the same: `okhttp3`!

There are three kinds of compatibility we’re tracking:

   * instead.
   *
   * <p><b>Performance note:</b> {@link ArrayList} and {@link java.util.ArrayDeque} consistently
   * outperform {@code LinkedList} except in certain rare and specific situations. Unless you have
   * spent a lot of time benchmarking your specific needs, use one of those instead.
   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated. Instead,

     *
     * <p><b>Performance note:</b> {@link ArrayList} and {@link java.util.ArrayDeque} consistently
     * outperform {@code LinkedList} except in certain rare and specific situations. Unless you have
     * spent a lot of time benchmarking your specific needs, use one of those instead. (However, we
     * do not currently offer a {@link Multimap} implementation based on {@link
     * java.util.ArrayDeque}.)
     */

     *
     * <p><b>Performance note:</b> {@link ArrayList} and {@link java.util.ArrayDeque} consistently
     * outperform {@code LinkedList} except in certain rare and specific situations. Unless you have
     * spent a lot of time benchmarking your specific needs, use one of those instead. (However, we
     * do not currently offer a {@link Multimap} implementation based on {@link
     * java.util.ArrayDeque}.)
     */

| `minio_node_io_write_bytes`                | Total bytes written by the process to the underlying storage system, /proc/[pid]/io write_bytes.                |
| `minio_node_process_cpu_total_seconds`     | Total user and system CPU time spent in seconds by the process.                                                |
| `minio_node_process_resident_memory_bytes` | Resident memory size in bytes.                                                                                  |

| `minio_system_process_cpu_total_seconds`           | Total user and system CPU time spent in seconds. <br><br>Type: counter                                                                | `server` |

You just eat them, and you are done. ⏹

<img src="/img/async/parallel-burgers/parallel-burgers-06.png" class="illustration">

There was not much talk or flirting as most of the time was spent waiting 🕙 in front of the counter. 😞

/// info

Beautiful illustrations by <a href="https://www.instagram.com/ketrinadrawsalot" class="external-link" target="_blank">Ketrina Thompson</a>. 🎨

///

---

            .charAt(0);
    if (overWaitNanosFirstDigit < '4') {
      overWaitNanosFirstDigit = '9';
    }
    String nanosRegex = "[4-" + overWaitNanosFirstDigit + "][0-9]+";
    assertWithMessage(
            "Spent " + thread.timeSpentBlocked + " ns blocked; slept for " + toWaitMillis + " ms")
        .that(thread.exception)
        .hasMessageThat()
        .matches(
            "Waited 2 seconds \\(plus "