#                                                                           Rate Limiting
#                                                                           ==============
# Whether rate limiting is enabled.
rate.limit.enabled=false
# Maximum number of requests allowed per window.
rate.limit.requests.per.window=100
# Window size in milliseconds.
rate.limit.window.ms=60000
# Duration in milliseconds to block IP when limit exceeded.

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

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

        if (width < TABLET_WIDTH) {
            float ratio = (float) width / (float) TABLET_WIDTH;
            if (ratio < 0.5) {
                ratio = 0.5f;
            }
            highlightInfo.fragmentSize((int) (highlightInfo.getFragmentSize() * ratio));
        }
    }

    /**
     * Gets the URL link for a document with proper protocol handling.

		Code:           "SlowDownRead",
		Description:    "Resource requested is unreadable, please reduce your request rate",
		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrSlowDownWrite: {
		Code:           "SlowDownWrite",
		Description:    "Resource requested is unwritable, please reduce your request rate",
		HTTPStatusCode: http.StatusServiceUnavailable,
	},
	ErrMaxVersionsExceeded: {

   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */

  // Constants

  /**

* vSphere Volume Plugin Implementation ([#24947](https://github.com/kubernetes/kubernetes/pull/24947), [@abithap](https://github.com/abithap))
* ResourceQuota controller uses rate limiter to prevent hot-loops in error situations ([#25748](https://github.com/kubernetes/kubernetes/pull/25748), [@derekwaynecarr](https://github.com/derekwaynecarr))