También existe la posibilidad de que, por alguna razón, tengas un **pico** de uso de tu API. Tal vez se volvió viral, o tal vez otros servicios o bots comienzan a usarla. Y podrías querer tener recursos extra para estar a salvo en esos casos.

Es besteht auch die Möglichkeit, dass es aus irgendeinem Grund zu **Spitzen** in der Nutzung Ihrer API kommt. Vielleicht ist diese viral gegangen, oder vielleicht haben andere Dienste oder Bots damit begonnen, sie zu nutzen. Und vielleicht möchten Sie in solchen Fällen über zusätzliche Ressourcen verfügen, um auf der sicheren Seite zu sein.

There's also the chance that for some reason you have a **spike** of usage of your API. Maybe it went viral, or maybe some other services or bots start using it. And you might want to have extra resources to be safe in those cases.

Também há a chance de que, por algum motivo, você tenha um **pico** de uso da sua API. Talvez ela tenha se tornado viral, ou talvez alguns outros serviços ou bots comecem a usá-la. E você pode querer ter recursos extras para estar seguro nesses casos.

labels.ignoreFailureType=Ignored Failure Type
labels.lastAccessTime=Last Access Time
labels.notificationTo=Notification To
labels.num=Num
labels.pn=Page Number
labels.protocolScheme=Scheme
labels.purgeByBots=Purge Bots
labels.logLevel=Log Level
labels.purgeSearchLogDay=Purge Search Log
labels.query=Query
labels.queryId=Query ID
labels.rt=rt
labels.searchLog=Search Log
labels.sort=Sort
labels.start=Start

    public static final String PURGE_JOB_LOG_DAY_PROPERTY = "purge.joblog.day";

    /** Property key for bot-based purge configuration. */
    public static final String PURGE_BY_BOTS_PROPERTY = "purge.by.bots";

    /** Property key for search file proxy configuration. */
    public static final String SEARCH_FILE_PROXY_PROPERTY = "search.file.proxy";

    // ============================================================

* **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.
* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.

          sortedElements[uniques] = sortedElements[i];
          uniques++;
        }
      }
      Arrays.fill(sortedElements, uniques, length, null);
      if (maybeExpand && uniques * 4 > length * 3) {
        // lots of nonduplicated elements, expand the array by 50%
        sortedElements =
            Arrays.copyOf(sortedElements, IntMath.saturatedAdd(length, length / 2 + 1));
      }

labels.ignoreFailureType=Genegeerde fouttypen
labels.lastAccessTime=Laatste toegangstijd
labels.notificationTo=Melding aan
labels.num=Aantal
labels.pn=Paginanummer
labels.protocolScheme=Schema
labels.purgeByBots=Verwijderen door Bots
labels.logLevel=Logboekniveau
labels.purgeSearchLogDay=Zoeklogboeken verwijderen
labels.query=Query
labels.queryId=Query-ID
labels.rt=rt
labels.searchLog=Zoeklogboek
labels.sort=Sorteren
labels.start=Startpositie

    assertThat(hpackReader!!.headerCount).isEqualTo(1)
  }

  /** Header table backing array is initially 8 long, let's ensure it grows.  */
  @Test
  fun dynamicallyGrowsBeyond64Entries() {
    // Lots of headers need more room!
    hpackReader = Hpack.Reader(bytesIn, 16384, 4096)
    bytesIn.writeByte(0x3F) // Dynamic table size update (size = 16384).
    bytesIn.writeByte(0xE1)
    bytesIn.writeByte(0x7F)