/// note | Technical Details

ASGI is a new "standard" being developed by Django core team members. It is still not a "Python standard" (a PEP), although they are in the process of doing that.

* To reduce memory usage to reasonable levels in smaller clusters, kube-apiserver now sets the deserialization cache size based on the target memory usage. ([#34000](https://github.com/kubernetes/kubernetes/pull/34000), [@wojtek-t](https://github.com/wojtek-t))

* Upgrade to etcd client 3.3.17 to fix bug where etcd client does not parse IPv6 addresses correctly when members are joining, and to fix bug where failover on multi-member etcd cluster fails certificate check on DNS mismatch ([#83968](https://github.com/kubernetes/kubernetes/pull/83968), [@jpbetz](https://github.com/jpbetz))

		return
	}
	rd.Replicate = newReset && oi.ModTime.Before(resetBeforeDate)
	return
}

const resyncTimeInterval = time.Minute * 1

// PersistToDisk persists in-memory resync metadata stats to disk at periodic intervals
func (s *replicationResyncer) PersistToDisk(ctx context.Context, objectAPI ObjectLayer) {
	resyncTimer := time.NewTimer(resyncTimeInterval)
	defer resyncTimer.Stop()

          "instant": false,
          "interval": "",
          "legendFormat": "{{server}}",
          "range": true,
          "refId": "A"
        }
      ],
      "title": "Memory Usage ",
      "type": "bargauge"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

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

  // accessors

  @Override
  public boolean containsKey(@Nullable Object key) {
    return map.containsKey(key);

That "wait for something else" normally refers to <abbr title="Input and Output">I/O</abbr> operations that are relatively "slow" (compared to the speed of the processor and the RAM memory), like waiting for:

* the data from the client to be sent through the network
* the data sent by your program to be received by the client through the network

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

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

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

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

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

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

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

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

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