public void formatRate(MessageBuilder builder, double rate) {
        // Handle invalid rates gracefully (including negative values)
        if (Double.isNaN(rate) || Double.isInfinite(rate) || rate < 0) {
            builder.append("? B/s");
            return;
        }

        ScaleUnit unit = ScaleUnit.getScaleUnit(Math.round(rate));
        double scaledRate = rate / unit.bytes();

            }
            sendBlockedResponse(httpResponse);
            return;
        }

        // Check rate limit
        if (!rateLimitHelper.allowRequest(clientIp)) {
            if (logger.isDebugEnabled()) {
                logger.debug("Rate limit exceeded: clientIp={}", clientIp);
            }
            sendRateLimitResponse(httpResponse, rateLimitHelper.getRetryAfterSeconds());

		"Average replication data transfer rate in bytes/sec")
	replicationCurrentActiveWorkersMD = NewGaugeMD(replicationCurrentActiveWorkers,
		"Total number of active replication workers")
	replicationCurrentDataTransferRateMD = NewGaugeMD(replicationCurrentDataTransferRate,
		"Current replication data transfer rate in bytes/sec")
	replicationLastMinuteQueuedBytesMD = NewGaugeMD(replicationLastMinuteQueuedBytes,

        if (logger.isInfoEnabled()) {
            logger.info("RateLimitHelper initialized: windowMs={}, blockDurationMs={}", windowMs, blockDurationMs);
        }
    }

    /**
     * Check if rate limiting is enabled.
     * @return true if rate limiting is enabled
     */
    public boolean isEnabled() {
        return ComponentUtil.getFessConfig().isRateLimitEnabled();
    }

    /**

  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular
  // tweak this to control hit rate
  @Param("2.5")
  double concentration;

  Random random = new Random();

  LoadingCache<Integer, Integer> cache;

  int max;

  static AtomicLong requests = new AtomicLong(0);

    }

    @Test
    public void test_constructorWithMessageAndErrorCode() {
        final LlmException exception = new LlmException("Rate limit exceeded", LlmException.ERROR_RATE_LIMIT);
        assertEquals("Rate limit exceeded", exception.getMessage());
        assertEquals(LlmException.ERROR_RATE_LIMIT, exception.getErrorCode());
        assertNull(exception.getCause());
    }

    @Test

  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular
  // tweak this to control hit rate
  @Param("2.5")
  double concentration;

  Random random = new Random();

  LoadingCache<Integer, Integer> cache;

  int max;

  static AtomicLong requests = new AtomicLong(0);

	ReplicatedCount int64 `json:"replicationCount"`
	// Replication latency information
	Latency ReplicationLatency `json:"replicationLatency"`
	// transfer rate for large uploads
	XferRateLrg *XferStats `json:"largeTransferRate" msg:"lt"`
	// transfer rate for small uploads
	XferRateSml *XferStats `json:"smallTransferRate" msg:"st"`
	// Endpoint is the replication target endpoint
	Endpoint string `json:"-"`

└─────┴─────────────────────────────────┴──────────────────────────────────┴────────┘
```

### Decommissioning status

```
λ mc admin decommission status alias/ http://minio{1...2}/data{1...4}
Decommissioning rate at 36 MiB/sec [4 TiB/50 TiB]
Started: 1 minute ago
```

Once it is **Complete**

```
λ mc admin decommission status alias/ http://minio{1...2}/data{1...4}

        assertTrue(primaryScore > baseScore);

        // High error rate should reduce score
        channelInfo.setState(ChannelState.ESTABLISHED);
        channelInfo.setPrimary(false);
        for (int i = 0; i < 20; i++) {
            channelInfo.incrementRequestsSent();
            channelInfo.incrementErrors(); // 100% error rate
        }
        int highErrorScore = channelInfo.getScore();