* resolved. If the names cannot be resolved (e.g. due to temporary
     * network failure), the said methods will return default values (usually
     * <code>S-X-Y-Z</code> strings of fragments of).
     * <p>
     * Alternatively <code>getSecurity(true)</code> may be used to resolve all
     * SIDs together and detect network failures.
     *
     * @return array of ACEs
     * @throws IOException if an I/O error occurs

		return fmt.Errorf("Heal internal error: %s: %s",
			apiErr.Code, apiErr.Description)
	}
)

// healSequenceStatus - accumulated status of the heal sequence
type healSequenceStatus struct {
	// summary and detail for failures
	Summary       healStatusSummary `json:"Summary"`
	FailureDetail string            `json:"Detail,omitempty"`
	StartTime     time.Time         `json:"StartTime"`

	// settings for the heal sequence

						}
						stopFn(version.Size, err)
						failure = true
						decomLogIf(ctx, err)
						continue
					}
					stopFn(version.Size, nil)
					failure = false
					break
				}
				if ignore {
					continue
				}
				z.poolMetaMutex.Lock()
				z.poolMeta.CountItem(idx, version.Size, failure)
				z.poolMetaMutex.Unlock()
				if failure {
					break // break out on first error
				}

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

In most (or all) cases, there's a simple option to enable running the container on startup and enabling restarts on failures. For example, in Docker, it's the command line option `--restart`.

        } catch (CIFSException e) {
            // Reset handle on connection failure
            this.treeHandle = null;

            // Optimization: Add connection retry for transient failures
            if (isRetryableException(e) && shouldRetryConnection()) {
                log.debug("Retrying tree connection after transient failure", e);
                try {
                    Thread.sleep(100); // Brief delay before retry

- Previously, the scheduling queue didn't notice any extenders' failures, potentially resulting in missed cluster events and Pods rejected by Extenders being stuck in the unschedulable pod pool for up to 5 minutes in the worst-case scenario. Now, the scheduling queue notices extenders' failures and requeues Pods rejected by Extenders appropriately.

			},
			Bucket:    roi.Bucket,
			OpType:    replication.HealReplicationType,
			EventType: ReplicateHealDelete,
		}
		// heal delete marker replication failure or versioned delete replication failure
		if roi.ReplicationStatus == replication.Pending ||
			roi.ReplicationStatus == replication.Failed ||

    
    A side-effect of using this new image was that the networking packages
    (namely `iptables`) drifted from the versions used in the kube-proxy images.
  
    The following issues were filed on kube-proxy failures when using hyperkube:
    - https://github.com/kubernetes/kubernetes/issues/92275
    - https://github.com/kubernetes/kubernetes/issues/92272
    - https://github.com/kubernetes/kubernetes/issues/92250
  

 * misleading to future readers of the code and of stack traces. See <a
 * href="https://github.com/google/guava/wiki/ConditionalFailuresExplained">Conditional failures
 * explained</a> in the Guava User Guide for more advice. Notably, {@link Verify} offers assertions
 * similar to those in this class for non-precondition checks.
 *
 * <h3>{@code java.util.Objects.requireNonNull()}</h3>
 *

* Deprecate the beta labels for zones ("failure-domain.beta.kubernetes.io/zone") and  ([#81431](https://github.com/kubernetes/kubernetes/pull/81431), [@andrewsykim](https://github.com/andrewsykim))
    * regions ("failure-domain.beta.kubernetes.io/region") in favor of their GA equivalents:
    * "topology.kubernetes.io/zone" and "topology.kubernetes.io/region".