* than would be returned by reading all of the bytes (for example, some special files may return
   * a size of 0 despite actually having content when read).
   *
   * <p>In either case, for mutable sources such as files, a subsequent read may return a different
   * number of bytes if the contents are changed.
   *
   * @throws IOException if an I/O error occurs while reading the size of this source
   */

### Memória do servidor

Por exemplo, se seu código carrega um modelo de Machine Learning com **1 GB de tamanho**, quando você executa um processo com sua API, ele consumirá pelo menos 1 GB de RAM. E se você iniciar **4 processos** (4 trabalhadores), cada um consumirá 1 GB de RAM. Então, no total, sua API consumirá **4 GB de RAM**.

                tailIndex = newIndex;
                tail = e;
              }
            }
            newTable.set(tailIndex, tail);

            // Clone nodes leading up to the tail.
            for (E e = head; e != tail; e = e.getNext()) {
              int newIndex = e.getHash() & newMask;
              E newNext = newTable.get(newIndex);

- Kubeadm: add the deprecated flag --port=0 to kube-controller-manager and kube-scheduler manifests to disable insecure serving. Without this flag the components by default serve (e.g. /metrics) insecurely on the default node interface (controlled by --address). Users that wish to override this behavior and enable insecure serving can pass a custom --port=X via kubeadm's "extraArgs" mechanic for these components. ([#92720](https://github.com/kubernetes/kubernetes/pull/92720),...

* Fixed a bug in the apiserver storage that could cause just-added finalizers to be ignored on an immediately following delete request, leading to premature deletion. ([#77619](https://github.com/kubernetes/kubernetes/pull/77619), [@caesarxuchao](https://github.com/caesarxuchao))

* Fix issue in converting AWS volume ID from mount paths ([#36840](https://github.com/kubernetes/kubernetes/pull/36840), [@jingxu97](https://github.com/jingxu97))
* fix leaking memory backed volumes of terminated pods ([#36779](https://github.com/kubernetes/kubernetes/pull/36779), [@sjenning](https://github.com/sjenning))

   * #murmur3_128}.
   *
   * <p>Repeated calls to this method on the same loaded {@code Hashing} class, using the same value
   * for {@code minimumBits}, will return identically-behaving {@link HashFunction} instances.
   *
   * @param minimumBits a positive integer. This can be arbitrarily large. The returned {@link
   *     HashFunction} instance may use memory proportional to this integer.

Si tu aplicación es **simple**, probablemente esto **no será un problema**, y puede que no necesites especificar límites de memoria estrictos. Pero si estás **usando mucha memoria** (por ejemplo, con modelos de **Machine Learning**), deberías verificar cuánta memoria estás consumiendo y ajustar el **número de contenedores** que se ejecutan en **cada máquina** (y tal vez agregar más máquinas a tu cluster).

	}

	return nil
}

// Maximum running concurrent saves on server.
var maxConcurrentScannerSaves = make(chan struct{}, 4)

// save the content of the cache to minioMetaBackgroundOpsBucket with the provided name.
// Note that no locking is done when saving.

RegExp(b.valAttr("regexp"));return c.test(a)},errorMessage:"",errorMessageKey:"badCustomVal"}),a.formUtils.addValidator({name:"date",validatorFunction:function(b,c,d){var e=c.valAttr("format")||d.dateFormat||"yyyy-mm-dd",f="false"===c.valAttr("require-leading-zero");return a.formUtils.parseDate(b,e,f)!==!1},errorMessage:"",errorMessageKey:"badDate"}),a.formUtils.addValidator({name:"checkbox_group",validatorFunction:function(b,c,d,e,f){var g=!0,h=c.attr("name"),i=a('input[type=checkbox][name^="'+h+'"]'...