a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our
        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

  - type: textarea

labels.searchlog_log_type_search_user_hour=Jumlah Pengguna/Jam
labels.searchlog_log_type_search_user_day=Jumlah Pengguna/Hari
labels.searchlog_log_type_search_reqtimeavg_hour=Waktu Rata-rata Permintaan/Jam
labels.searchlog_log_type_search_reqtimeavg_day=Waktu Rata-rata Permintaan/Hari
labels.searchlog_log_type_click_count=Jumlah Klik
labels.searchlog_log_type_favorite_count=Jumlah Favorit
labels.searchlog_log_message=Pesan

                    handleChannelFailure(channel, e);
                }
            }
            
            // Check error rate
            if (channel.getErrorRate() > 0.1) {
                log.warn("High error rate on channel {}: {}", 
                    channel.getChannelId(), channel.getErrorRate());
                // Consider removing channel
            }
        }
    }

        a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our
        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

        assertEquals(5120, stats.getBytesTransferred(), "Should have transferred 5KB total");
        assertEquals(1, stats.getOperationErrors(), "Should have 1 error");
        assertEquals(0.25, stats.getErrorRate(), 0.001, "Error rate should be 25% (1 error out of 4 successful operations)");

        // Verify latency calculations
        assertTrue(stats.getAverageReadLatencyMicros() > 0, "Read latency should be positive");

					throughputHighestPut = totalPut
					// let the client see lower value as well
					throughputHighestGet = totalGet
				}
				sendResult()
				break
			}

			// We break if we did not see 2.5% growth rate in total GET
			// requests, we have reached our peak at this point.
			doBreak := float64(totalGet-throughputHighestGet)/float64(totalGet) < 0.025

			throughputHighestGet = totalGet
			throughputHighestResults = results

> export MINIO_COMPRESSION_MIME_TYPES="*"
> ```

### 3. Compression + Encryption

Combining encryption and compression is not safe in all setups.
This is particularly so if the compression ratio of your content reveals information about it.
See [CRIME TLS](https://en.wikipedia.org/wiki/CRIME) as an example of this.

Therefore, compression is disabled when encrypting by default, and must be enabled separately.

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Transfer Rate (bytes/s)",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

| `minio_node_replication_average_transfer_rate`          | Average replication transfer rate in bytes/sec                                                           |
| `minio_node_replication_max_transfer_rate`              | Maximum replication transfer rate in bytes/sec seen since server start                                   |

        // In practice, this would be more sophisticated
        int uniqueBytes = countUniqueBytes(data);
        double entropy = (double) uniqueBytes / 256.0;

        // Estimate compression ratio based on entropy
        // Lower entropy = better compression
        return 0.3 + (entropy * 0.6); // Range from 30% to 90%
    }

    @Override
    public int getMinCompressionSize() {