--key object \
--restore-request Days=3
```

### 4.1 Monitoring transition events

`s3:ObjectTransition:Complete` and `s3:ObjectTransition:Failed` events can be used to monitor transition events between the source cluster and transition tier. To watch lifecycle events, you can enable bucket notification on the source bucket with `mc event add`  and specify `--event ilm` flag.

    }

    /**
     * Gets the network name.
     *
     * @return the network name
     */
    public String getNetName() {
        return netName;
    }

    /**
     * Sets the share name to monitor.
     *
     * @param shareName the share name
     */
    public void setShareName(String shareName) {
        this.shareName = shareName;
    }

    /**
     * Gets the share name.
     *

**Performance Issues**
- Increase thread pool size in SuggesterBuilder
- Optimize batch sizes for indexing operations
- Review OpenSearch cluster performance

**Memory Usage**
- Configure appropriate JVM heap settings
- Monitor index sizes and optimize mappings
- Use streaming for large data imports

### Debug Logging

Enable debug logging for detailed troubleshooting:

```java
// Add to your logging configuration

        scheduler.scheduleAtFixedRate(this::monitorRegistrations, 10, 10, TimeUnit.SECONDS);
    }

    /**
     * Registers for witness notifications.
     *
     * @param shareName the share name to monitor
     * @param serverAddress the server address
     * @param listener the notification listener
     * @return a future that completes with the registration
     */

					goOffline(fmt.Errorf("unable to read: %w", err), 0)
				}
				return
			}
		}()

		// Continue to monitor
		return true
	}

	for {
		select {
		case <-ctx.Done():
			return
		case <-t.C:
			if !monitor() {
				return
			}
		}
	}
}

// checkID will check if the disk ID matches the provided ID.

Interceptors
============

Interceptors are a powerful mechanism that can monitor, rewrite, and retry calls. Here's a simple interceptor that logs the outgoing request and the incoming response.

```java
class LoggingInterceptor implements Interceptor {
  @Override public Response intercept(Interceptor.Chain chain) throws IOException {
    Request request = chain.request();

    long t1 = System.nanoTime();

<logger name="org.codelibs.fess.crawler.client" level="DEBUG"/>
<logger name="org.codelibs.fess.crawler.extractor" level="DEBUG"/>
```

### Monitoring

```java
// Monitor crawling progress
while (crawler.crawlerContext.getStatus() == CrawlerStatus.RUNNING) {
    int processed = dataService.getCount(sessionId);
    System.out.println("Processed: " + processed + " URLs");
    Thread.sleep(5000);

	globalEventNotifier    *EventNotifier
	globalNotifyTargetList *event.TargetList
	globalLambdaTargetList *levent.TargetList

	globalBucketMetadataSys *BucketMetadataSys
	globalBucketMonitor     *bandwidth.Monitor
	globalPolicySys         *PolicySys
	globalIAMSys            *IAMSys
	globalBytePoolCap       atomic.Pointer[bpool.BytePoolCap]

	globalLifecycleSys       *LifecycleSys
	globalBucketSSEConfigSys *BucketSSEConfigSys

   */
  public void callAndAssertWaits(String methodName, Object conditionLikeObject) throws Exception {
    checkNotNull(methodName);
    checkNotNull(conditionLikeObject);
    // TODO: Restore the following line when Monitor.hasWaiters() no longer acquires the lock.
    // assertEquals(false, invokeMethod("hasWaiters", conditionLikeObject));
    sendRequest(methodName, conditionLikeObject);
    Thread.sleep(DUE_DILIGENCE_MILLIS);

          // because the service does not monitor the state of the future so if the exception is not
          // caught and forwarded to the service the task would stop executing but the service would
          // have no idea.
          // TODO(lukes): consider building everything in terms of ListenableScheduledFuture then
          // the AbstractService could monitor the future directly. Rescheduling is still hard...