HealthCheckTimeout time.Duration

	// MaxErrResponseSize is the maximum expected response size.
	// Should only be modified before any calls are made.
	MaxErrResponseSize int64

	// Avoid metrics update if set to true
	NoMetrics bool

	// TraceOutput will print debug information on non-200 calls if set.
	TraceOutput io.Writer // Debug trace output

	httpClient *http.Client
	url        *url.URL

			req.URL.Path == healthCheckPathPrefix+healthCheckClusterPath ||
			req.URL.Path == healthCheckPathPrefix+healthCheckClusterReadPath)
}

// guessIsMetricsReq - returns true if incoming request looks
// like metrics request
func guessIsMetricsReq(req *http.Request) bool {
	if req == nil {
		return false
	}
	aType := getRequestAuthType(req)
	return (aType == authTypeAnonymous || aType == authTypeJWT) &&

- The nftables kube-proxy mode now has its own metrics rather than reporting
  metrics with "iptables" in their names. ([#124557](https://github.com/kubernetes/kubernetes/pull/124557), [@danwinship](https://github.com/danwinship)) [SIG Network and Windows]

```java
if (!context.getConfig().isUseLeases() || !session.supports(SMB3_0)) {
    // Fall back to traditional oplock mechanism
    useOplockInstead();
}
```

## 11. Monitoring and Metrics

### 11.1 Lease Statistics
```java
public class LeaseStatistics {
    private final AtomicLong leasesRequested = new AtomicLong();
    private final AtomicLong leasesGranted = new AtomicLong();

### Autoscaling
* **[alpha]** The Horizontal Pod Autoscaler now supports drawing metrics through the API server aggregator.
* **[alpha]** The Horizontal Pod Autoscaler now supports scaling on multiple, custom metrics.
* Cluster Autoscaler publishes its status to kube-system/cluster-autoscaler-status ConfigMap.

}

func (z *erasureServerPools) LocalStorageInfo(ctx context.Context, metrics bool) StorageInfo {
	var storageInfo StorageInfo

	storageInfos := make([]StorageInfo, len(z.serverPools))
	g := errgroup.WithNErrs(len(z.serverPools))
	for index := range z.serverPools {
		g.Go(func() error {
			storageInfos[index] = z.serverPools[index].LocalStorageInfo(ctx, metrics)
			return nil
		}, index)
	}

 * Provides structured logging of security-relevant events with sensitive data masking.
 *
 * Features:
 * - Structured JSON logging
 * - Sensitive data masking
 * - Event categorization
 * - Performance metrics
 * - Compliance-ready audit trail
 * - Asynchronous logging with bounded queue
 * - Object pooling to reduce GC pressure
 */
public class SecurityAuditLogger {

		func(ctx context.Context) (info DiskInfo, err error) {
			ctx, cancel := context.WithTimeout(ctx, 5*time.Second)
			defer cancel()

			nopts := DiskInfoOptions{DiskID: *client.diskID.Load(), Metrics: true}
			infop, err := storageDiskInfoRPC.Call(ctx, client.gridConn, &nopts)
			if err != nil {
				return info, toStorageErr(err)
			}
			info = *infop
			if info.Error != "" {

            }));
        }
        
        // Wait for all reconnections
        CompletableFuture.allOf(futures.toArray(new CompletableFuture[0])).join();
    }
}
```

## 11. Monitoring and Metrics

### 11.1 Handle Statistics
```java
public class HandleStatistics {
    private final AtomicLong handlesRequested = new AtomicLong();
    private final AtomicLong handlesGranted = new AtomicLong();

### Go-Live

- [ ] Schedule maintenance window
- [ ] Final incremental data sync
- [ ] Switch DNS or endpoints to Fess
- [ ] Monitor logs for errors
- [ ] Monitor search performance metrics
- [ ] Have rollback plan ready

### Post-Migration

- [ ] Monitor search quality and relevance
- [ ] Tune ranking and boosting settings
- [ ] Set up regular crawl schedules