- Fix the problem where couple nodes becoming NotReady at the same time could cause master instability or even complete outage in large enough clusters. ([#88962](https://github.com/kubernetes/kubernetes/pull/88962), [@mborsz](https://github.com/mborsz)) [SIG Apps]

 *       amounts of computation (creating a thread, calling a few methods, etc) needed to reach a
 *       timeout point. Similarly, a SMALL is always discriminable as larger than SHORT and smaller
 *       than MEDIUM. And so on. These constants are set to conservative values, but even so, if
 *       there is ever any doubt, they can all be increased in one spot to rerun tests on slower

Eine Abhängigkeit mit `scope` von `"function"` kann jedoch Abhängigkeiten mit `scope` von `"function"` und `scope` von `"request"` haben.

Das liegt daran, dass jede Abhängigkeit in der Lage sein muss, ihren Exit-Code vor den Unterabhängigkeiten auszuführen, da sie diese während ihres Exit-Codes möglicherweise noch verwenden muss.

```mermaid
sequenceDiagram

participant client as Client

	erasureLockOwner string

	// List of endpoints provided on the command line.
	endpoints PoolEndpoints

	// String version of all the endpoints, an optimization
	// to avoid url.String() conversion taking CPU on
	// large disk setups.
	endpointStrings []string

	// Total number of sets and the number of disks per set.
	setCount, setDriveCount int
	defaultParityCount      int

	poolIndex int

	// Distribution algorithm of choice.

  {{.HelpName}} {{if .VisibleFlags}}[FLAGS] {{end}}DIR{1...64} DIR{65...128}

DIR:
  DIR points to a directory on a filesystem. When you want to combine
  multiple drives into a single large system, pass one directory per
  filesystem separated by space. You may also use a '...' convention
  to abbreviate the directory arguments. Remote directories in a
  distributed setup are encoded as HTTP(s) URIs.

## Running on Startup and Restarts { #running-on-startup-and-restarts }

There is normally another tool in charge of **starting and running** your container.

It could be **Docker** directly, **Docker Compose**, **Kubernetes**, a **cloud service**, etc.

 *  Fix: Attempt to read the response even if sending the request failed. This makes it possible
    to handle response statuses like `HTTP/1.1 431 "Request Header Fields Too Large`.

 *  Fix: Handle multiple 1xx responses.

 *  Fix: Address a performance bug in our internal task runner. We had a race condition that could

                    logger.warn("Failed to write cache: sessionId={}, responseData={}", sessionId, responseData, e);
                }
            } else {
                logger.debug("Content size is too large({} > {}): {}", responseData.getContentLength(),
                        fessConfig.getCrawlerDocumentCacheMaxSizeAsInteger(), responseData.getUrl());
            }
        }
        // digest

- Fix: incorrect max azure disk max count ([#92331](https://github.com/kubernetes/kubernetes/pull/92331), [@andyzhangx](https://github.com/andyzhangx)) [SIG Cloud Provider and Storage]
- Fixed bug in reflector that couldn't recover from "Too large resource version" errors with API servers 1.17.0-1.18.5 ([#94316](https://github.com/kubernetes/kubernetes/pull/94316), [@janeczku](https://github.com/janeczku)) [SIG API Machinery]

 *
 * <p>Unlike {@code java.util.HashMap}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure places significantly reduced load on the garbage
 * collector by only using a constant number of internal objects.
 *