### Ein Prozess pro Container

In einem solchen Szenario möchten Sie wahrscheinlich **einen einzelnen (Uvicorn-)Prozess pro Container** haben, da Sie die Replikation bereits auf Cluster ebene durchführen würden.

   * negation is cheaper to precompute than the matcher itself; it tries to build small hash tables
   * for matchers that only match a few characters, and so on. In the worst-case scenario, it
   * constructs an eight-kilobyte bit array and queries that. In many situations this produces a
   * matcher which is faster to query than the original.
   */
  @GwtIncompatible // SmallCharMatcher

	if fi.VersionPurgeStatus().Empty() && (fi.DeleteMarkerReplicationStatus() == "REPLICA" || fi.DeleteMarkerReplicationStatus().Empty()) {
		updateVersion = fi.MarkDeleted
	} else {
		// for replication scenario
		if fi.Deleted && fi.VersionPurgeStatus() != replication.VersionPurgeComplete {
			if !fi.VersionPurgeStatus().Empty() || fi.DeleteMarkerReplicationStatus().Empty() {
				updateVersion = true
			}
		}

				// buffer than the data itself, but the results are in-fact valid. So we validate
				// this error condition specifically treating it as a good condition with valid
				// results. In this scenario return 'n' is always lesser than the input buffer.
				if err == io.ErrUnexpectedEOF {
					if !bytes.Equal(testCase.expectedBuf, buf[:n]) {

offset,\n    /** @prop {Number|String} offset=0\n     * The offset value as described in the modifier description\n     */\n    offset: 0,\n  },\n\n  /**\n   * Modifier used to prevent the popper from being positioned outside the boundary.\n   *\n   * A scenario exists where the reference itself is not within the boundaries.<br />\n   * We can say it has \"escaped the boundaries\" — or just \"escaped\".<br />\n   * In this case we need to decide whether the popper should either:\n   *\n   * - detach from...

- Do not remove the "batch.kubernetes.io/job-tracking" finalizer from a Pod, in a corner
  case scenario, when the Pod is controlled by an API object which is not a batch Job

iteration Result = Composite W = 55 B = 7 # End of iteration Result = Composite W = 55 B = 23 # End of iteration Result = Composite W = 55 B = 2e # End of iteration Result = Composite W = 55 B = 2a # W below is composite, but it is one of the worst case scenarios for # Miller-Rabin, from Wycheproof tests. 1/4 of witnesses report the value is # prime. Test that we correctly classify false and true witnesses. # b^m = w-1 Result = PossiblyPrime W = 550fda19f97cdfbd1393 B = 379c6027f818b5164bc1 # b^m = w-1 Result...

- The scheduling queue didn't notice any extenders' failures, it could miss some cluster events,
  and it could end up Pods rejected by Extenders stuck in unschedulable pod pool in 5min in the worst-case scenario.

- DRA: scheduling pods is up to 16x faster, depending on the scenario. Scheduling throughput depends a lot on cluster utilization. It is higher for lightly loaded clusters with free resources and gets lower when the cluster utilization increases. ([#127277](https://github.com/kubernetes/kubernetes/pull/127277), [@...

* enhance the daemonset sync logic in clock-skew scenario ([#77208](https://github.com/kubernetes/kubernetes/pull/77208), [@DaiHao](https://github.com/DaiHao))