memlimit = ctx.GlobalString("memlimit")
		}
		mlimit, err := humanize.ParseBytes(memlimit)
		if err != nil {
			return err
		}
		if mlimit > memAvailable {
			logger.Info("WARNING: maximum memory available (%s) smaller than specified --memlimit=%s, ignoring --memlimit value",
				humanize.IBytes(memAvailable), memlimit)
		}
		ctxt.MemLimit = mlimit
	} else {
		ctxt.MemLimit = memAvailable
	}

   * user-created objects that aren't accessible via this range set's methods. This is generally
   * used to determine whether {@code copyOf} implementations should make an explicit copy to avoid
   * memory leaks.
   */
  boolean isPartialView() {
    return ranges.isPartialView();
  }

  /** Returns a new builder for an immutable range set. */
  public static <C extends Comparable<?>> Builder<C> builder() {

das Programm nun Dinge in den Arbeitsspeicher lädt, zum Beispiel ein Modell für maschinelles Lernen in einer Variablen oder den Inhalt einer großen Datei in einer Variablen, verbraucht das alles **einen Teil des Arbeitsspeichers (RAM – Random Access Memory)** des Servers.

Und mehrere Prozesse teilen sich normalerweise keinen Speicher. Das bedeutet, dass jeder laufende Prozess seine eigenen Dinge, eigenen Variablen und eigenen Speicher hat. Und wenn Sie in Ihrem Code viel Speicher verbrauchen,...

	ctx := logger.SetReqInfo(GlobalContext, reqInfo)
	peersLogOnceIf(ctx, err, "add-node-err-"+addr)
	nodeInfo.SetAddr(addr)
	nodeInfo.SetError(err.Error())
}

// GetSysErrors - Memory information
func (sys *NotificationSys) GetSysErrors(ctx context.Context) []madmin.SysErrors {
	reply := make([]madmin.SysErrors, len(sys.peerClients))

	g := errgroup.WithNErrs(len(sys.peerClients))

      //    internal char array (hard to avoid using StringBuilder)
      // 2. we avoid extra copies into temporary buffers altogether
      // The downside is that this will cause us to store the file bytes in memory twice for a short
      // amount of time.
      return new String(ByteSource.this.read(), charset);
    }

    @Override
    public String toString() {

    assertThat((long) arraysDim1 * arraysDim2).isNotEqualTo((long) (arraysDim1 * arraysDim2));

    boolean[][] arrays = new boolean[arraysDim1][];
    // it's shared to avoid using too much memory in tests
    boolean[] sharedArray = new boolean[arraysDim2];
    Arrays.fill(arrays, sharedArray);

    try {
      Booleans.concat(arrays);
      fail();
    } catch (IllegalArgumentException expected) {

introduced significant changes to its garbage collection algorithm. As a result, we observed an increase in memory usage for kube-apiserver in larger an heavily loaded clusters up to ~25% (with the benefit of API call latencies drop by up to 10x on 99th percentiles). If the memory increase is not acceptable for you you can mitigate by setting GOGC env variable (for our tests using GOGC=63 brings memory usage back to original value, although the exact value may depend on usage patterns on your cluster)....

   * memory, so it is only likely to be worthwhile if the precomputed matcher is queried very often.
   *
   * <p>This method has no effect (returns {@code this}) when called in GWT: it's unclear whether a
   * precomputed matcher is faster, but it certainly would consume more memory (which doesn't seem
   * like a worthwhile tradeoff in a browser).
   */

    return cycle(Lists.newArrayList(elements));
  }

  /**
   * Returns an Iterator that walks the specified array, nulling out elements behind it. This can
   * avoid memory leaks when an element is no longer necessary.
   *
   * <p>This method accepts an array with element type {@code @Nullable T}, but callers must pass an

* Fix a scalability issue where high rates of event writes degraded etcd performance. ([#64539](https://github.com/kubernetes/kubernetes/pull/64539), [@ccding](https://github.com/ccding))
* fixes a memory leak in the kube-controller-manager observed when large numbers of pods with tolerations are created/deleted ([#65339](https://github.com/kubernetes/kubernetes/pull/65339), [@liggitt](https://github.com/liggitt))